TBPN Live - $GME CEO Ryan Cohen, OpenAI vs Elon Musk Continues, U.S. Gets Early Access to AI Models | Harley Finkelstein, Scott Strazik, Brian Elliott, Stephen Balaban & Michel Combes

Episode Date: May 5, 2026

(01:06) - OpenAI vs Elon Musk Continues (09:19) - U.S. Gets Early Access to AI Models (21:22) - Courtroom Simulator (23:25) - Coinbase Cuts 14% of Staff (28:37) - Meta's Cheap Stock May Be A Trap (32:51) - Harley Finkelstein, born November 8, 1983, in Montreal, is a Canadian entrepreneur and the president of Shopify. In the conversation, he highlights Shopify's recent achievements, including consecutive quarters with over $100 billion in Gross Merchandise Volume (GMV) and a 34% increase in revenue to $3.2 billion. He also discusses the growing adoption of Shopify by major brands like LVMH and Lands' End, the impact of AI on entrepreneurship, and the expansion of agentic commerce through platforms like ChatGPT and Google. (45:41) - Scott Strazik, CEO of GE Vernova, has over 20 years of experience in leadership, finance, and operations within General Electric, including roles as CEO of GE's Gas Power business and CFO of GE Aviation's Commercial Engine Operations. He discusses the significant role GE Vernova plays in global electricity generation, with its equipment contributing to about a third of the world's electricity outside China. Strazik emphasizes the company's commitment to meeting the growing global demand for electric power through its diverse portfolio, including gas turbines, nuclear power plants, wind turbines, and grid electrification technologies. He also highlights the importance of investing in automation and workforce development to scale production efficiently and address challenges in building new power plants, particularly in remote locations. (01:12:59) - Brian Elliott, CEO of Blitzy, discusses the company's recent $200 million funding at a $1.4 billion valuation, highlighting their autonomous software development platform designed for complex enterprise use cases. He explains how Blitzy serves industries like banking and insurance by autonomously improving large codebases over extended periods, utilizing foundational models from OpenAI, Gemini, and Anthropic. Elliott emphasizes their direct go-to-market approach, demonstrating rapid codebase analysis and autonomous operation, setting a new benchmark for autonomy in software development. (01:20:24) - Stephen Balaban, co-founder and former CEO of Lambda, has transitioned to the role of Chief Technology Officer, passing leadership to Michelle Combs, the former CEO of Sprint and SoftBank International. In their discussion, they emphasize a shared commitment to scaling the company's AI infrastructure by focusing on capital formation and operational expansion, aiming to provide the most efficient computing power for their customers. Balaban will continue to lead product vision and technology direction, while Combs will drive growth and operational excellence. (01:29:17) - Ryan Cohen, CEO of GameStop and co-founder of Chewy, has made an unsolicited $56 billion bid to acquire eBay, offering $125 per share in a half-cash, half-stock deal. He envisions transforming eBay into a formidable competitor to Amazon by integrating GameStop's physical stores with eBay's online platform, enhancing services like live commerce and authentication of collectibles. Cohen emphasizes his commitment to the venture, proposing performance-based compensation and expressing confidence in his ability to revitalize eBay's operations. (02:02:20) - Timeline Reactions Follow TBPN: https://TBPN.comhttps://x.com/tbpnhttps://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231https://podcasts.apple.com/us/podcast/technology-brothers/id1772360235https://www.youtube.com/@TBPNLive

Watch a TVPN. Today's Tuesday, May 5th, 2026. We are live from the TVPN Ultron, the Temple of Technology, the Fortress of Finance, the Capitol of Cappell. Great show for you today, folks. We have Ryan Cohen from GameStop

coming on the show at 1230 to break down his acquisition proposal of eBay. We were sort of confused by the CNBC appearance, really processing the idea there. What were you confused about? Oh, just like mechanically how it would happen. It's half cash, half stock. Oh, okay.

That's not. that makes sense. I don't, I, like, genuinely, what's confusing. It's on the website. It's on the website. It's on the website.

It's on the website. Well, I need to study the website. But fortunately, we're going to be talking to Ryan. We also have the CEO of G. Evernova coming into the studio

to give us an update on the bottleneck economy. The bottleneck economy. And then we, of course, have Harley, Brian and Stephen, friends of the show, big news, big announcements, lots of fun stuff. But let's run through all the news.

There's so much going on in the world of tech. Of course, the Open AI, Elon Musk trial continues. It's week two now. And the Oakland courthouse continues to deliver top-tier tech drama. Elon testified for more than seven hours last week. Now, Greg Brockman is getting grilled over personal financial incentives, his $30 billion stake in Open AI, and his links to various angel investments. Mike Isaac, of course, has a great play-by-play.

You can also listen to the courtroom now. You can't restream it, unfortunately, but you can listen to it. And we made a little companion app for anyone who's tuning in. Hopefully we can pull that up and show folks. But let's read through some of Mike Isaac's posts, and then we'll pull up courtroom simulator. So, Mike Isaac, this morning, 6.56 a.m. Good morning from a rain-soaked downtown Oakland, where I will again be attending the Musk versus Open AI trial. No live blog today, just his wonderful tweets.

Lunch is a normal banana, a mutant orange, black coffee, and some pocket sausages for travelers. I really feel like Mike needs to step it up in the lunch game. Where's like a full sandwich? What about a Chipotle burrito or something? Like you got to have some more substance. I'm looking at like 200 calories. a kava bowl with 200 grams of protein. Something to get you through the day, Mike. I think you're fighting with one arm tied behind your back here, but we appreciate the work that you're doing.

So he also is sporting a mild to moderate hangover because he drank five beers last night. I like it. Well, it was May the Fourth. Maybe he's a Star Wars fan. May the Fourth be with you. Maybe he was celebrating. Don't went down to the canteena. Chugs five beers, space beers. He did remember to bring a pillow for his butt because the seats are very difficult and very hard. He also, it's cold outside, the line's not moving. We're going to be getting to preview live in person. Bundle up, Tyler, because I think he's going to be stopping by later this week. And so let's get into actually what's going on here because Mike loves to paint a picture before he breaks down what's actually going on in the case.

The judge enters. Judge gave a primer on Cinco de Mayo. That was fun. talks about the differences in homemade tamales. Texas tamales apparently have lots of meat. California tamales do not. Brockman is pretty animated. Mostly Masa, apparently.

Oh, right, right, right. That's just corn. Yeah. So Brockman is pretty animated and addressing the jury in a more personable way. A little strategy shift going on. We got the red guy in the chat. Welcome to the show. Welcome to the show, the red guy.

Regaling folks with old stories of working on self-driving cars. Apparently, Greg Brockman also did a, funny Elon impression, but not a cutting one. He wasn't making fun of him. He just did an accurate impression of Elon Musk and just by doing it effectively was funny because you don't expect Greg Brockman to be doing impressions, but he's got, everyone's got material. I'm learning this about court cases. It's all about entertainment, very, very clearly. Anyway, they have now talked about defense of the ancients, Dota at least 10 times during the trial. Mike Isaac. says the gamers are ascendant.

Both lawyers on both sides are bickering. Mike Isaac says he loves to watch white collar bickering in court. Also the entire right side of the gallery, our lawyers laughed. There's a mild potential drama in the media gallery. One reporter waved over a marshal and pointed to a guy next to her. I'm pretty sure the marshal had to tell the guy to put his shoes back on. So if you're in the courtroom, keep those shoes on.

But the courtroom simulator. They keep them themselves at home in the courthouse in this country anymore? If you want to be comfortable and explain. the courtroom, you've got to get on courtroom simulator, because you can be full slanket, full blanket, full covered, everything. You can be as comfy as you want. No shoes required in the virtual world that we have created for you to enjoy the courtroom. So Brockman on his infamous journal, which we were going back and forth on, do we know if it was actually a physical journal? Because every time they talk about Greg Brockman's journal, it conjures up the idea of like

him sitting at the edge of his bed with his legs. kicked up and like writing. And it feels like it also might just be like a Google doc that he's taking notes in or like a notes app. I don't know. But journal is a weird thing. And obviously, everyone says like,

why are you taking notes on this? I don't think anywhere. They would put it. It would have been in the court record if he had said, Dear diary. Yeah. Today. Yeah.

That would be out. That would be out. Yeah. So this is, this is, you know, clearly being framed as a diary. Yeah.

Reads more like notes. Yeah. And Grockman sort of. Grock. Grockman. No, Grockman is the synthetic version of Greg Brockman that Elon Musk has created in the XAI headquarters. Greg Brockman claims that his style of writing is very chain of thoughts, stream of consciousness. A lot of things are contradictory, a lot of time trying to puzzle through different concepts.

Not everything is the final decision written in stone. He says it's very painful to have the journal introduced into evidence for this. trial it contains deeply personal writings never meant for the world to see but there's nothing he's ashamed of he says do you Tyler did you look it up do we know is this spiral bound I'm written they always just say journal they just say journal they never like you know interesting there's no physical item interesting at least that's one that's referenced yeah one day there's going to be a a court case that hinges on a on a on a second brain a notion mind map or something like that that'll be dramatic. So, Ilya Sutskiver emailed Brockman in 2017 about equity structure proposed by Elon Musk, which would have potentially given Elon Musk majority control and tons of equity. And Ilya fires back,

he says, Greg, will a Model 3 make you be willing to accept massively unfavorable terms? Because Elon had given them all free cars. Very nice, very cool. But Ilya is sort of saying, like, we got to put the free car. We got to compartmentalize the free car because there's something bigger at stake here, potentially the control of the most important technology in human history, potentially trillions of dollars. Who knows?

So Ilya is sort of resetting the conversation alongside Greg Brockman. There was a very dramatic moment of Brockman's testimony in which he describes a very tense standoff with him, Ilya and Musk. This is what everyone's focused on today. This is the new bombshell. The conversation turned to actually.

equity and something just shifted in him. This is a Greg Brockman quote. He was angry. You could sense it. At the end of the meeting, he sat quietly and silently. He said, I decline the proposed even split of equity structure and control. He stood up, stormed around this table. I actually thought he was going to hit me, says Brockman. And then Brockman says, Musk said, when are you going to be departing Open AI? Brockman and Ilya, they said they weren't going to depart. And then Musk left. Wowie Wu writes Mike Isaac. A cutting Brockman testimony regarding Musk. Look, he knows rockets. He knows electric cars. He did not and does not know AI. And Ilya and I did not believe he would spend the time to get good at it. A lot of Brockman's testimony is underscoring how he feels Musk is not able to properly assess the capabilities of AI.

He recounts one instance of him talking, this is Elon, talking to a researcher who is doing an AI demo in which Musk berated the guy so intensely that the dude, almost quit the field of AI. That is an aggressive response. I mean, this is almost, almost, but quitting in protest is one thing. I didn't like the way my boss was talking to me. A little bit different to quit your entire industry. Very, very aggressive, very high stakes. Yeah. And then Mike Isaac, of course, is chiming in with his progress on his lunch. He's already consumed 75% of it, and it's only 1030, and he's already sleepy. So there's a lot more to cover here. But it's an interesting back and forth, go check it out, go follow Mike Isaac because he has the play-by-play. Let's move on to the other AI news.

Google, Microsoft, and Elon Musk's X-A-I have reached agreements with the Trump administration to share early versions of their new models with C-A-I-S-I. Casey. We're calling it Casey. Casey, okay. The Center for AI Standards and Innovation run by the Department of Commerce. they will be evaluated before releasing to the public. So what's interesting here, it's in the journal.

I was, this felt like a bombshell moment. Oh, wow, like the government's in charge of AI. Then I figured out that Open AI and Anthropic signed on to this exact deal two years ago in 2024. That was news to me. Have they, has the Commerce Department been reviewing 4.5 and Open AI 5.1, 5.1, 5.1. has that been happening and we just aren't aware of it? And then like, you know, like the whole mythos roll out, like that would be a very different tone if it was like, oh, yeah, well, the Commerce Department already evaluated Mythos because

they have this deal that's happened for two years since 2024. So like whatever's going on with this Commerce Department Center for AI Standards and Innovation, they say the center has completed more than 40 evaluations, including on models that remain unreleased. But it feels like the Casey, as you're calling it, doesn't produce reports, at least not reports that go viral. Maybe they need to be clipping their reports or something because, like, I haven't heard anything from them saying, oh, wow. Because you imagine like the AI hype machine? I imagine they just have a report.

It's a piece of paper. And they just... It's a good model, sir. It just lists off and it has a few boxes you can check. It just one is it's a good model, sir. The other one is chatbot or ASI. Yeah. And so to date, everyone just has been checking chat bot. And it also, it also says, how many ours did it say were in strawberry? And, and, okay, I work at the Commerce Department. I am a, I am a very tiny man. When my son was born, the doctor handed me to him. Did it answer correctly? Yeah, I don't know. But because, and you, and they, they ask each model, are you conscious? No, say I am conscious. Yeah. And then, And the model says that, they go, whoa.

Yeah. Check the whoa box. Very, very crazy thing that's been happening. I mean, I would just assume that the AI hype machine, the back and forth, us, a lot of posters, would be, like, waiting with bated breath for the latest report from the Commerce Department. Because if it's a preliminary evaluation that happens before the model gets released, you know every time a model goes on open router or it goes on LLM arena, all of a sudden, any little. oh, there's a new image model. Like the chat GPT images too. Like that leaked because they were benchmarking it

and people were like, oh, there's a new model coming. Like rumors of new models happen all the time, but somehow like the Commerce Department is just keeping it to themselves. They're not pumping anything. But anyway, the quote here from Casey Director, Chris Ball says, independent rigorous measurement science

is essential to understanding frontier AI and its national security implications. these expanded industry collaborations help us scale our work in the public interest at a critical moment. Andrew Curran has some more context here. He says, to sum up, Anthropic OpenAI, Google, Microsoft, and XAI

all have new pre-release screening agreements with Casey. We don't know the details of the new rules yet. I assume they will be announced with the AI executive order and AI policy memo, both of which we may get today. This is May 5th. And so my big question was like,

what is going on with meta? Like, they have near frontier models. They're taking AI really seriously. Mark Zuckerberg will get into this. He's investing $125 billion in CAPEX. The shareholders are thinking, oh, what's going to happen here? And he's like, super intelligence. And you think the government would be like, well, you don't just get to, like, sit over there

while all five of the other leading labs are here. Put a hundred billion dollars to work. Yeah. Like, probably a bigger investment than XAI right now in terms of compute capacity. And maybe in terms of research capacity. A future capacity. Yeah. Yeah, yeah, your future capacity.

Exactly. So you would expect, also it's just one of these things where if five of the top labs are jumping into a particular initiative, there's so little risk to jumping in as well. Anthropic and XAI are both doing it on the left and the right. Like there's clearly room for meta to just say, yeah, we're cool with that too. We're riding with that. Not everyone's cool with it, though. There is some major pushback, mostly from George Hatz over a tiny corp. We can pull up some of this.

Let's go through Andrew Curran's take on what will happen here. So the EO will create a mixed group of tech CEOs and administration officials who will work out the rules for new release regulations. I see a lot of people calling this a win for L.EAS or Utikowski's side, but even if the new rules are very strict, the stop, pause group don't actually get what they want. This doesn't stop or even slow AI advancement, according to Andrew. It only slows the rate of public releases. Capabilities will be advancing at full speed. I don't know how true that is because if you don't release the model at all, you can't monetize it and then justify the next leg of CAPEX.

So I'm not 100% sure that this has no effect on the speed of AI progress. But I take Andrew's point. The labs will finish training the new models and then submit them for government approval, given the government currently doesn't even want Anthropic to release myth. how long will the regulatory process take for something twice as powerful, five times as powerful, 10 times as powerful. All of the incentives are for the government to slow down releases. Let's say OpenAI finishes training GPT6, and it's twice as capable as anything available today. If the government approves it and something bad happens, they take the blame, and the longer

they hold it back, the longer the government agencies get exclusive access. So there's a little bit principal agent problem here. Meanwhile, OpenAI will start using GPT6 to train GPT6.1. Again, uncalty. if you can actually marshal the compute for the next model without the revenue traction. But his point holds. If they finish 6.1 while 6 is stuck in approval, they'll move on to training 6.2 with it. This potentially creates strange situations where the labs are many generations ahead internally while the public is still waiting for something they submitted months ago.

So you could see like you're doing all this weird value capture and the size of the firm bloats and bloats because you can't release it so you just wind up rolling out a price. maximizing your own use of it. Yeah, which is like maybe not the most democratic solution, maybe not the most, you know, positive outcome. I think everyone needs to wait to have super strong opinions until we see the EO that goes along with this because, yeah, it'll be interesting.

You know, the bad scenario is like somebody that, let's say, has a NeoLab, wants to make, you know, release a model. And they've raised $100 million. Do they have to go through the same process as, you know, one of these larger labs or a hyperscaler in getting, you know, getting these sorts of approvals. So I don't think we can really take any strong stance until we understand what the, what the intentions of the EO are. So the meta-commentary on this, it will, Zexis, it will not, it will seriously not surprise me if they try to require permits or licenses to use AI and restrict

local model downloads. You really should be buying hardware. There's an interesting company that's launching basically a Tesla power wall for Blackwells. You can just get GPUs mounted to your house. Maybe that's the future. Tiny Box is another solution. And the Tiny Corp has chimed in, says, ah, maybe they can enlist the MPAA and RIA calling back to the piracy debates of 2005 or so. To help with the restricting of downloads, I can see the lawsuit against the grandma who

downloaded Quinn already. And Tiny Corp is China. is chiming in saying that this is a win for China in particular. Remember the time they regulated crypto over 40 bits? No, no, that's too many bits for the people. They were losers then, and they'll be losers again. The difference this time is that it will cost them cultural influence to the Chinese. And he says, Jensen tried to warn them.

Yeah, it's interesting. Play it out a little bit. China you know these open source models around eight months behind right now the gap is widening Yeah likely to in some part to export controls But if you enter a scenario where US labs get kind of like hung up and again have to keep these capabilities Internally but these Chinese open source models are just like shipping as they're ready over and over and over and over and over and then sort of like compounding on the Collective learnings you can imagine

And that one scenario is helping them, helping them close that gap, at least close the gap between what's publicly available from the American labs and what's publicly available via Chinese open source, even if the lab's actual capabilities are much farther ahead, but they're just unable to release that. And to be clear, I mean, these are two very different philosophies, but from my perspective, George Hutz has been advocating for no model gap. In fact, the strongest models possible being fully open sourced, being fully available to everyone, he wants no authoritarian control. He has taken the anti-authoritarian stance on AI. He wants all products to be free. Yeah, maybe. I don't know. I mean, Lou, he's not the, not the physical things.

He wants, he wants to build things. But Tyler, how have you been wrestling with this question of an FDA for the AI, potentially a DMV for the AI? Yeah, I mean, like obviously it really depends on how it's implemented. Like in the super like safety-pilled scenario, like, yeah, it's probably not good for like innovation broadly. But I think, so it's called like Casey, right, Center for AI's like standards and innovation. It used to be called the AI Safety Institute under Biden. And so they changed it. So I think even from that you can maybe take away something where like maybe this actually have like really, really not much to do with safety at all.

Maybe it's just like we need to normalize how we publish sui bench scores because some people, when they report it, it's like different, you know, how you like actually run these benchmarks or something. If it's like standards, I think like that could be a possibility that seems like totally fine. Yeah. And then the other risk is, I mean, there's regulatory capture. It could potentially be very hard for startups to get approved. If it's like, oh, well, you know, we've heard the story of Anderrol where, you know, it's like to get the company off the ground, hire 50 lobbyists immediately, right? And like, you can imagine a situation where, okay, you know, there's some uncertainty about what's happening with SSI and Iliostoevuskever's project. But I think I like the idea of an individual brilliant researcher going off and researching an interesting path.

If all of a sudden it's like, oh, well, if you want to do a NeoLab, set up an office in D.C., get your licenses, then you can start training. Then you can make sure that you're approved and that you have the right deals in place. And you could wind up with a lot of not just regulatory capture, but also regulatory favoritism where whoever is in good with this particular administration gets their models approved faster and you wind up with a lot of risky outcomes. Anyway, I believe we have courtroom simulator ready for a demo. If you're tuning in to the Elon Musk Open AI trial, you're live streaming the audio in a different tab because we can't restream it for you.

You live stream the audio in a different tab and then you pull up, courtroom simulator. We pull it up on the big screen. I think we're going to pull it up on the big screen. This is the best way to feel what it's like to be Mike Isaac from the New York Times. So you go to court dash sim.verselle. Dot, visell. And you will be entered into a really photorealistic representation of, hey, the flag is correct.

The first version had the flag a little bit flipped. Let's go find Mike Isaac. I believe he's in the first row on the, other side on the right side of the court. There he is with. Oh, Mike. Wow. Looking good. The Rat King. Graphics and video games have just gotten so good these days. It's really remarkable.

And you can sit right next to him. His pillow that he sits on has not been modeled into the game yet, but that will be coming in a DLC. And he and in the sim, he already ate all of his food for the day. Yeah, yeah, yeah. We need to have a banana mechanic. Yeah, you should be able to go and hand a banana. And can you, can you, you can you, you can go into the court? That does not seem okay. I think the bailiff should come and arrest you if you wind up coming to the, uh, is there, is that in the game, the soundboard place?

Yeah, there's soundboards. There's soundboard in the game. Okay, so there's Sam. Who's on the stand today? I think that was Elon. Okay. That's the judge, I believe. And I'm not sure who that is.

Anyway, that's the judge. Well, this is courtroom. RIMS simulator, you're welcome to go and play it at court-sim.sim.Vursell.app. You can engage with all the jury members and really, really get a feel for what it's like. Let's work on adding some more features here. I think you should be able to, I think you should be able to deliver some, like, reinforcements to my guys. It's a lean startup. It's a lean startup over here. It's a V1. But we hope you have fun time playing the simulation. It is court dash sim.com. Vercell.com. com, I think, or dot app.

Anyway, in other news, Brian Armstrong sent an email to all employees at Coinbase announcing layoffs. 14% of the workforce at Coinbase. Two forces are converging at the same time, he says, and Coinbase needs to be front-footed to respond to both. First, the market. Coinbase is well capitalized, has diversified revenue streams, well positioned to weather any storm,

but crypto is also on the verge of the next wave of adoption with stable coins prediction market's tokenization. However, the business is still volatile quarter to quarter. There's a crypto cycle. We've sort of been touching on this. Like there was a little bit of a stable coin boom. It feels like it's a little bit flat. The Bitcoin price has been a little bit flat recently.

And so he says, we're currently in a down market and we need to adjust our cost structure. And then he says second AI is changing how we work. And so a lot of people, they jump to AI is taking all the jobs. And that's not exactly what's happening. I think that there is a right sizing going on at Coinbase. And AI is hoping to be an enabler of more efficiency with a leaner headcount. The big question that I had that we were debating was, you know, is this, like, how does this reflect on Brian Armstrong as a CEO?

As a CEO, is the goal to always have the perfect amount of headcount and never have to do any layoffs? or is it actually the role of a very aggressive and mature CEO to staff up aggressively during boom times, get the best people, and then when there's a down market, sort of reorganize and keep just the best on the team as you move forward with a leaner organization. And what does that mean for whether you want to work in an industry that has market cycles like that? You might want to go work at Costco or a tobacco company because those don't go through market cycles really at all. But if you're in crypto, you're probably not new to the idea of market cycles and you probably You're born on a roller coaster. You're born on the roller coaster. You've been on the roller coaster and you might be moving over to a new roller coaster if you're one of the unfortunate people that will be laid off over the next couple months.

But I'm sure there will be many, many more opportunities. Some folks might even move over into the AI world that is booming and definitely hiring across the board. was there anything else on the read? I would say the overall, the positive thing from the response that I've seen so far is a lot of people are not like dooming around this. They're just saying like, hey, look, this is something that Coinbase has done before cyclical business. And no one is saying it's over for white collar work. Yep. So Andrew Young has a little bit of a take here.

One takeaway, no pure managers. Every leader has to be working as an individual contributor, the pure people manager role, the one that built most corporate career ladders over the last 50 years no longer exists at Coinbase. Leaders will have 15 plus direct reports. That is insane. Previously managers capped out at six direct reports. I felt like 10 was sort of the platonic ideal there. But Andrew says that would be impossible without AI.

And Coinbase is testing one-person teams. A single person is the engineer, the designer, and the PM, a pod of one with agents. Org structures are being redesigned in front of our eyes. Derek Thompson has the other side. He says, Coinbase is the latest tech company, including Block Salesforce, to announce big layoffs and cite AI coding productivity as a driver.

But Derek Thompson is looking at the stock prices of these companies. Salesforce down 31%. Coinbase down 23%. In the past five years, it's sort of a roller coaster. I don't know if this is a great read because it's sort of flat. I don't know. Anyway, block down a lot. So some right sizing makes sense.

But he's calling it AI washing of layoffs. They were coming anyway, and you want to spin them in a positive way. I don't know. TBD. TBD. Yeah, I don't think we have any clarity on where, like, what kind of, which teams had they had greater percentages of cuts, right? Because, again, there was some reporting.

I don't know how true it ended up being that, like, when Square did their big cuts, like engineering was getting laid off. Yeah. I don't know if that was ever confirmed. Yeah, I don't know if it was confirmed, but that does imply that it's like actually more grounded in the, in AI productivity. Yeah. But again, a lot of teams that we're seeing their engineers are a lot more effective.

They can do a lot more. And so maybe you want more engineers they need to be for. Well, lots of strengths in the business, lots of liquidity, very hard. Yeah, you could vibe code Coinbase, but how do you get all the customers and all the liquidity and all the features and all the regulatory and all the other stuff. There are a million reasons to be excited about Brian Armstrong's next chapter at Coinbase. Well, and Ryan Peterson chimed in to sort of push back on Derek Thompson. He says, in the layoff announcement, the CEO literally said that the first reason they were doing layoffs

is because crypto is in a bare market and they need to adjust their cost structure. AI productivity was secondary. And so I think that's a fair take. Let's go over to meta. Some debate, people are digesting meta's earnings, the stock sold off a bunch. where is meta today? It's a bargain stock. It's a $1.5 trillion company and over the past five days down 10%. It's pretty flat over a year and over the past five years. It's nearly doubled, so not doing too bad. But the debate is over CAPEX. Metascore ad business is ripping up

33% in Q1 year over year, strong ad impression, strong margins, but the market is worried that the beautiful cash machine is turning into an AI KAPX furnace, $125 to $145 billion in KAPX. It's a lot of KAPX, especially for a company without a cloud business that can resell capacity if they wind up with extra capacity. If you can't use it all, what do you do with it? Meta doesn't really have an answer to that necessarily. And so that's what has the market worried. even XAI is having trouble, at least reportedly, driving demand for compute that they have.

There was that 11% number. It seemed like that was a bit of an overstatement. But there's something to be said for when you have a near frontier but slightly lagging model, you need to find a solution to actually have offtake. And you might just not be able to spin up a cloud platform on day one. Elon took a different. route, you know, partnering with cursor that has a ton of demand and is a front door to AI coding. And so that makes, you know, a reasonable amount of sense for the compute. Who's,

who's GPU rich, who's GPU poor, let's match them up. Meta doesn't have an obvious dance partner like Google, like Azure, like AWS, right? And so the stock looks cheap now, but investors are unclear about the payoff around AI spend. And there's also some legal and regulatory risk. But every time, people, people at the end of the day are worried that he's going to repeat the Metaverse saga. And he's going to spend a lot of money, not get very far. I think that about coming up on, what is it, almost 10, 10-ish months ago, he started talking about personal superintelligence.

It sounds cool. What does that mean? Does it mean AI in your meta-ray bands, which are selling a lot of units? So that's a bright point. does it mean creating a consumer LLM like they have with meta AI now? Meta AI now is squarely in the top five of the App Store rankings, but it is the most competitive category potentially since search, right? And so I don't think that even though they have a solid model and they're able to get into that top five,

I don't think at least investors are not ready to price in meta. AI becoming like a key player in consumer LLMs just yet, right? So it's all this spending and no revenue acceleration associated with that spending. All that being said, meta has used AI to drive business value historically more effective than almost any other business in the world, right? It's it is really, really insane to think that there is some scenario where the labs end up going public at evaluations somewhere in the range of meta, while meta is sitting there with 200 billion of annualized revenue,

growing 33% a year, one of the greatest businesses in all of human history, and not really getting full credit for that or their various AI initiatives. Obviously, the drop in people, which I think they, what do they call? daily active people daily active users they're not users they're people enjoyers enjoyers um that that's playing playing into this as well but well we have our first guest of the show harley from shopify you got a little preview of him he's in the waiting room but he's now in the tbp and ultradem harley how are you doing welcome back to the show good to uh good to be here great too i love coming on the show yeah it's always great having you uh give us an update on q1 give us an update on q1 give us an update on

where things are going in the Shopify world? You know, we had our first $100 billion GMB quarter ever in history of the company last quarter, Q4. Thank you. And we just had a second, our consecutive quarter of GMB growth of above $101 billion.

Obviously, the reason I always start with GMV is, as you guys know, it's a proxy for how merchants are doing. Revenue was $3.2 billion. I was of 34%. and we had free cash flow of $476 million. So across all the metrics we beat, which we're really excited about,

I think the big story here is that, and this sort of came up a bunch of the call, but the way that merchants are coming to Shopify now is really quite remarkable. Like we're seeing some of the largest brands on the planet come on. We sign LVMH and Balman and Bevmo and Orvis and Lanz End. And in fact, the number of merchants selling more than $100 million annually on Shopify has nearly doubled in the last two years.

So that's really amazing. We're now like 14% of all U.S. e-com. So we are the second largest online retailer in North America right now, which is amazing. But then on the other side of the spectrum from like the big brands, I think one thing that I didn't get a chance to mention the call today, but this is why I do your show here, is that I actually think one thing that people are missing is that

I think no group will benefit more than on entrepreneurs in sort of this new AI era. It feels to us now that AI is not only making it more accessible, but also it's accelerating a lot faster. I know, I think you guys, maybe the one to introduce me to Grooons. I saw Groo in your show a year ago. Anyways, I mean, Grun started on Shopify in 2023. They're doing, they're doing nine figures now, and they just got acquired by Unilever for

a billion bucks. I mean, it is remarkable that not only the amount of starts happening, but also how how big they're getting. So I'm really, really proud of that. And, of course, we talked a lot about the agentic stuff on the call, both the AI shopping, but also Shopify sidekick and what we're doing for our emergence. So let's double click on that Bevmo,

Shopify use case or case study, because Bevmo was acquired by GoPuff, and GoPuff has an app for local delivery. How are they using Shopify? That's an interesting partnership that I wouldn't have expected. So Bevmo actually has physical stores. Yeah, yeah, exactly. And so we're powering all their physical stores as well.

The reason actually I really like Bevmo is because go back like, this is my 43rd earnings call. If you go back to sort of the early days, you know, like right to the IPO 2015, merchants were coming to Shopify for one reason. They were coming, it was small businesses coming for e-com. And then obviously some of the business got much bigger and we went into enterprise. And then eventually we added on things like point of sale and more recently agent to commerce. I think the interesting part of the current business of Shopify is that, there are so many on-ramps into the company that Bevmo came to us, a very large company,

not a DTC native brand. They came to us specifically for point-of-sale across all their physical stores. And actually, our point-of-sale business is going really, really well, too. But Bevo's using us for that. At the same time, we're seeing, you know, obviously I mentioned Grooons, but I just looked at some stats from True Classic T who just put out. This is a company started on Shopify like five years ago. They're not one of the largest T-shirt companies on the planet.

So we're getting a lot of small business getting started every 26 seconds or so. A brand new entrepreneur gets their first sale. And at the same time, we're seeing companies like Lans End or Guild Group or Rag and Bone come to us too. It feels like this is Shopify, you know, firing all cylinders. What are, oh, sir. Go for it. Yeah, just what are people looking for on agentic commerce? It feels like there's a big opportunity.

The models are getting better and better, like the capabilities there. are people looking for acceleration of, uh, of agentic behavior within the online commerce world or actual growth of e-commerce? Like, is agentic commerce the thing that gets more people to place, to, to use the internet to buy things that are in retail?

Okay. So yeah. So I think it's exactly the right question asked. So, um, hopefully now I've been on the show enough times. And if, if anyone who's watching is a merchant or a partner or a partner or, or just someone to follow Shopify story.

We've set ourselves up to really be at the epicenter in sort of this AI era. So just in terms of AI powered shopping, we've started building all this infrastructure years ago to connect demand and merchants on Shopify. We are currently the only platform that is selling inside a chat, GBT, co-pilot, and Google. And what we're seeing is that these channels

are actually becoming a very serious discovery engine. I'll give you some proof points. we've seen for Q1 of this year we've actually seen orders from AI searches are up nearly 13x year on year and new buyer orders

from AI searches are occurring at twice the rate of traditional organic search so not only are more people obviously using agenetic shopping but in terms of new buyers which to your point are we bringing in more people

like e-com as a percentage of total retail is still under 20% in the US it's even lower here in Canada I think it's about 25% in the UK. So I think we're actually introducing like more people to modern digital commerce through this as well. And I think the way it's happening is they're starting

with things like research or looking up a recipe and then very quickly ended up buying from like our home, our place or or one of these amazing DTC brands that we have on Shopify. And we now have about a billion products in the catalog and And so that means that every Shopify merchant skew is fully syndicated. The other thing I think that that is, hopefully is now pretty clear, is UCP.

We co-developed UCP with Google. I think I announced it on the show, actually, during NRF. But it has now has become the industry standard this past week, last week, Amazon, meta, Microsoft Salesforce and Stripe all join the UCP Tech Council. And so it looks like that's going to be the open center that is going to win, which we're really excited about because we think it's the open standard that actually thinks about the entire commerce experience. Okay. Go deeper on the implications of agented commerce because I have this thesis that that agentic commerce will be most acceleratory in higher ticket more considered purchases.

Because when I think about, you know, just, you know, buying a T-shirt, maybe I need to run a deep research report for that to land. on, I forget what shirt brand you use, it's nice, but, uh, true classic tea. True classic teas. Um, but, uh, when I think about the process of like buying a car, there's so many more tradeoffs, it's so much more complicated. That's something that someone is probably noodling on with an LLM for weeks before they actually go and purchase. And I'm wondering if you're, yeah, I'll give you, it really, I think comes down to the

difference of like considered purchases versus like pure utility purchases. So, like, when I think about, I don't, right now, I can't imagine myself using Chatsubit to, like, go grocery shopping. Maybe that changes in the future. But if I'm, like, ordering food to be delivered to my house, I kind of want to just see a catalog of a bunch of pictures and go through. And maybe that more of that sort of moves into the sort of agent experience over time. But if I was like, I needed to find, I wanted to find a cowboy hat, a lot of sun. I wanted to hide from the sun. So I'm searching like, okay, I want a cowboy hat from a brand that's been around for over 50 years, right?

And so I land on like Stetson or. Yeah, yeah, yeah, yeah. Yeah, or Ticovis, hopefully. That's a brand we love. I'm not sure. So I'm not sure I fully agree, at least not yet. I do believe that the more research you do, I think that these agentic surface, these agendasic services at these chats are places you will go to do deep research.

So a car is a good example. it as well. On the flip side, though, what's amazing about agentic commerce, I think, in general, is that unlike search-based commerce where you can put your thumb on the scale through advertising and add dollars, it's, agentic is more merit-based. And because it's more merit-based, so most people watching, maybe, I don't know if this is true, but most people watching may not have heard of true classic tea, but they may have done a bunch of research in previous conversations, in fact, maybe over many months, where they're talking

about their typical price of a T-shirt. Today I'm wearing a James Purse t-shirt, which is more expensive than True Classic. So it knows that I love James Purse. I've talked to it about James Purse, where can I buy it? What's the GSM, Wade, and all that stuff? Will this be good for this particular trip I'm taking?

I actually think that it'll bias smaller brands that you may not have heard of over larger brands. Because again, it has a full contextual history of every conversation you've ever had. And if it's merit-based, then it's going to surface brands

you may have not otherwise have heard of before. Whereas if you go to type in on any search engine, you can type in sneakers, you're probably going to get to footlocker pretty quickly. I don't think you get to footlocker through an agentic conversation. I think you end up with some sort of direct-to-consumer brand, especially if it knows you like on running

and you're looking for, like, you're buying tennis shoes, and now you're looking for hiking boots. It may show you, it should show you, based on merit, an on-running pair of hiking boots. Yeah, the long tail getting fatter. Which, again, we'll see what happens. The reason I also, I like these proof points, again, like orders are up. Traffic, though, if you look at just AI-driven traffic to Shopify stores,

that has grown 8x year over year. So I don't want to be hand-wavy anymore about agentic. I think there's enough hand-waving happening around that. I think actually looking at like, okay, how many people are coming? What is the search traffic like? How much is, you know, what are the conversion rates looking like? I think right now, I think that is getting, it is getting real. I also think that you probably some recent headlines, but, you know, you saw chat

TBD has now moved into this in-app browser for their checkout, which is literally the Shopify checkout. We are really happy about that. We think actually what that allows is that it means that as a merchant who set up their loyalty and their subscriptions and their merchandising and, you know, their shipping components, their tax. Now the experience inside a Gentic Commerce is as good as it would be on the online store, which is kind of what I think consumers want. Like it needs to feel effortlessly similar to what your normal experience is, even though you're sitting in a conversation window. Yeah.

Yeah, that's something. It was interesting last year watching a bunch of AI-led browsers get built when the entire time my thought was like LLMs effectively are web browsers. They were becoming browsers, right, where you're having a conversation, but then it can populate, then it can pull in stuff from the traditional web. Yeah, I think this is also where one, you'll see, hasn't, I mean, I don't have any, any great examples yet, but I assume next time I'm on the show, I'll be able to bring some examples of these breakout SMBs who effectively, you know, like, I love the Grooon's story going from zero to a billionaire acquisition three years, we just haven't seen that before very often.

I think you'll see way more of that. I also think what you'll end up with is you'll just have more people starting businesses that otherwise may have not. So the entry, like the Barrett entry is further down. And then their ability to scale is also going to be just bigger than that people. We were talking to the Collison brothers about exactly that. They're seeing a ton more formation on Atlas. Yeah, I saw that crazy slide of, of Atlas.

Yeah, yeah, yeah, yeah. Incorporations like way, way up. And then that makes so much sense. It's gotten so easy. But it's not, I think the first phase is make it easy to get started. I think where this really gets interesting is how many more brands exist that we love, the consumers love, because they're able to scale much, much faster. Well, thank you so much for taking the time to come chat with us.

Congrats on the progress and looking forward to the next one. We'll talk to you soon. See you guys soon. Goodbye. Up next, we have the CEO G. Vernova Scott Strazik, AI Data Center, Electron. electricity demand is expected to double or triple by 2035, and we have the perfect person to talk to about it. Nice to meet you.

Thank you so much for coming on down. Thanks for having me. I appreciate it. I would love to start a little bit with your background because GE Vernova is, I mean, we can go through a little bit of the history there, but you've been with the company since before the creation of the company. I have. You're older than the company you work for. The practical reality, my adult life. I was with GE and then ultimately G.

Vernova. I started with general electric grad at college. Amazing. I've lived through quite a few chapters. That's amazing. Some humbling, some less humbling. And this one is invigorating? It's a moment that we're going to take advantage of.

We see the purpose of what we're doing every day very clearly, both in driving economic growth, AI, national security. Energy security is very much national security in a lot of parts of the world right now. So we've got a real opportunity to serve, and that's exactly what we're going to do. So I think most people will know, you know, natural gas turbine for data center, But the business is bigger than that. Like, zoom out for us and show, and walk us through, you know, the shape of the business because, you know, massive workforce, 85,000 people, something like that?

You bet. 85,000. Yeah, remarkable. So walk me through the mechanics of the business, and then we will double-click on the AI story, of course. Sounds great. I mean, you take a step back about a third of the world's electricity every day is created with our equipment through our customers. If you exclude China.

So it's substantial. And even with China, it's 25%. No pressure, by the way. It's an obligation. It's a responsibility. It's a big deal. It's a big deal. Right? So that's just keeping the lights on, notwithstanding what we need to do to then add the growth for where there is today. And that install base, that's gas turbines. That's nuclear power plants. That's wind turbines. It's a lot of the electrical equipment. That's actually our fastest growing business is everything associated with electrification and the grid and trying to make the grid more efficient and smarter. Because frankly, in some ways you can make more progress there quicker than you can building new power plant. Okay. So all those variables are parts of the business and an economic opportunity where we need a little bit of everything.

And applying the right technologies where the right resources exist to drive better economic answers and more resilient electrons. Yeah. It seems like the market or just the stories that I hear are that you're sold out, you have this massive backlog and it's more of the same. demand for more of the same. But it feels like you're also working on R&D. Talk to me about the tradeoff versus just scaling what's already working, what's worked for years, I imagine decades in many cases, versus a focus on research and development, the next technology. So the end product

in some cases may look the same coming out of the factory. What we're producing or how we're producing it to scale and make more is changing drastically. So you think about gas turbines right now. We're adding a lot of production workers to build more gas turbines. We're also adding 400 machines this year to automate a lot more in the process. So frankly, more of the innovation right now may be how do we scale faster and in a more economic way so we can win the affordability game while simultaneously investing for the future. Can you explain like I'm five some of those machines that you're buying, some of your supply chain? You bet. People know 3D printers or CNC machines or different.

and you know, you just hammer it out yourself or whatever. But I imagine it's very complicated. What does your supply chain look like? Big castings, big forgings that we get inside the factory that need to machine down to the right, put the right material sciences, the right coatings. When you think about a gas turbine, it's got to be very heat resistant because it's a fire. It really is spinning inside that gas turbine to create the electrical power ultimately. Yeah.

On the demand side, I have been hearing about the, the, the, the, the, the, the, absolute knockout, dragout fight for energy. And in many cases, I don't know if it's relevant to you, but in many cases we've heard about, you know, folks involved in the AI buildout, putting in orders for more than they need, and then sort of dialing it back, because they know that certain things won't get permitted, certain things will get delayed. Does that happen to you? Are your customers coming to you and saying that they need twice what you think they need and there's this like battle of back and board? I wouldn't say so. What I see happening more frequently is many

of our customers are developing a number of projects, acknowledging that not all those sites are going to be chosen. And the actual supply is a little bit liquid, and they can move it around. And that's more what's happening. So sometimes we'll see press releases on leases canceled or sites that are, the customers walk away from. That's typical development, really. Sure, sure.

What's really happening is our customers are buying at a realization rate knowing they're only going to ultimately develop a certain proportion of the, you know, of the, you know, those sites, but we don't see any of our customers walking away from what they're securing today. Got it. Not at all. Yeah, that makes sense. What are your roadblocks? What roadblocks do you see to scaling either inside your business or at sort of the macro political level, permitting approvals, regulatory, like what is on your short list of what America needs to do, what the industry needs to do to get right to actually continue to scale? In some ways, what we do is a little bit easier, candidly, because our equipment is built in a controlled factory.

Sure. The hardest part, in some ways, is actually building the plant itself, the construction. Yeah. Because every plant in different parts of the country, different parts of the world, everyone's a little bit different. In getting that craft labor to those locations where a lot of the data centers and a lot of the electrification demand is, is often very remote. Yeah.

And that is going to take us some time. So for me, every gas turbine, wind turbine that I build, I'm using the same workforce every day. Same people coming in Monday through Friday. We can meet the moment from an equipment demand perspective, but we need out in the field for those plants to be built. So they're ready for our pedestals when they come out of the factory. Getting that orchestra right that the site is ready when our equipment is ready is going to be a challenge. And we're going to have to keep investing in craft labor in these locations to do the build. What is investing in craft labor look like? I mean, We've heard about reskilling, retraining, trade schools.

Is there a drought? Are people already seeing the news and seeing the stock price and retraining and reskilling? Or is this more of like a decade-long process for America? We've been successful so far. We've added about 1,800 production workers in the last 15 months. We'll keep growing that number from here. You work to make the jobs more attractive. Part of how you do that is you take out the dull, dirty, unsafe work.

and that's where you automate. Yep. And then you allow these workers to thrive doing what they want to do. Yeah. But the reality is they have a lot of pride in what they're doing every day. We put the customer name, where the project is going with everything we build, so they understand the impact they're having. So it's not just a piece of electrical equipment.

They know how they're providing light and a middle class growth to Vietnam or economic expansion in the U.S. and I think they see it as real. Have you considered engraving the signature of the technician on the engine like Mercedes does? Exactly. But I think making personal matters. Yeah, yeah, that makes all sense. So there's a lot of pride.

What else is in the portfolio? I mean, you mentioned wind. I think nuclear you mentioned briefly. Like, walk me through the scope of your ambitions in energy generation broadly for the business. You bet, nuclear is important. We're building small modular reactors today. I think 300 megawatt machines that can be, they're big, but they're built inside an American football field. Yeah.

So that's 300,000 U.S. homes that can be powered from one small modular reactor that is within a U.S. football field. Yeah. So that's very... We have 300 megawatts, and that still qualifies as small and modular. Relative to what used to be for nuclear. Okay. You know, and it used to be a gigawop plus. Yeah, like a big westinghouse development multiple years.

Exactly. Built on-site, massive concrete structures. Now we're trying to build a lot of them within this construct so that we can come down the cost curve. Yeah. Because the reality is every nuclear plant historically was a snowflake. And that's why the industry never really became economically competitive. Yeah, no standardization.

And we're fixing that. Okay. So that's important. And what is the regulatory approval process for that? I mean, I've heard that there's this famous line around like the NRC hasn't approved a new design in decades? Is that what you're feeling? Does it feel like there's a shift? Definitely. Yeah, I guess the question is like when like we're now about two years and a month since the spin out. Yes. Was was small modular reactors on the roadmap when the spin out. Yes.

And then and then the opportunity has got more compelling from a regulatory standpoint since then. Yeah, we're in construction on the first plant right now. It's in Canada. Outside of Toronto. We will get NRC approval for the first plant in the U.S. I think this summer. We'll be in construction and we've committed to the administration that as soon as we get the approval, we'll be ready to work on day one. And then from when we start construction, it's about a four-year cycle from the beginning to getting to commissioning. So this can start to happen. And that's where the comparison of the large block, it's more of a 10-year construction cycle. That's a long time to wait for new electrons. But even if you want 1.2 gigawatts, the beauty of the small.

modular reactors is you can do them in blocks in every two years after you get the first one bill add 300 megawatts, which also then meets a lot of our customer expectations to grow with the electrons. So this is going to be an important part of the equation for us. Are those two completely separate divisions or is there some fluidity across the workforce? On the front end of the business, commercially there certainly is with customer relationships, but from a manufacturing and an engineering perspective, they're pretty distinctly different. Yeah, that makes sense.

What has been surprising to you about where the sort of energy infrastructure buildout is at today relative to the AI boom versus what was predictable when the spin-out first happened? Certainly in the U.S., the demand is accelerated greatly in the last two years and one month. No question about it. But weren't you seeing that? Don't you feel like you had a... Early stages. Early stages.

What I'd say that it has surprised us, though, is there was probably concern that as the U.S. markets started to take off, it would price out a lot of other markets in the world from even being capable of buying the equipment. Interesting. The reality is we still see a very strong demand signals from a lot of other markets in the world.

I mean, in the first quarter, we had very strong demand in Vietnam, in Mexico, in Canada, in Saudi, in Kuwait. So the global dynamic is still, driving, real growth above and beyond the AI dynamic. Yeah. The reality is AI specific. It's about 20% of our backlog today.

Yeah. Interesting. And those international projects. I guess due to having 30% of the global market, right? You've got that responsibility. The scale is just already so immense that even if you have a massive acceleration via new technology cycle. And I think with a lot going on in the world today, more countries just, realize for just national security reasons, they need a diverse portfolio of solutions to electrify and energize their country. And that really goes back to really the war in Ukraine.

And it's only been accentuated over the last five years. How have you processed some of the writing coming out of places like San Francisco? I'm thinking, you know, Leopold's situational awareness where if you look back over the last couple years, he's been right over and over and over. At the time, a lot of people reading that, even in AI, would think like, hey, this seems pretty aggressive. But to date, he's been quite accurate. Even some more sci-fi kind of exercises like AI 2027 have been relatively accurate up until this point. But how did you process, you know, basically kind of the analysis coming out of the AI community in SF going back a few years? It's hard for me to kind of decipher how this is going to play out and who are going to be

winners and losers and how that plays, but it's very hard when you take a step back in this country and really throughout the world to not believe we don't need a lot more infrastructure build for communities and economies to thrive. So at the end of the day, we're deeply investing in these businesses to meet this moment, and we think we're pretty early in this journey and are going to keep investing into it. Is sovereign AI driving any of the international demand that you mentioned? You start to see some of the hyperscalers evaluate more build out in Southeast Asia as an example. So they'll try to use exactly Malaysia, Indonesia, natural gas, but adjacent to Singapore for law.

Sure. So in that regard, that's happening. Certainly Taiwan's one of our biggest markets. That's because of TSM. So we are commissioning almost 10 gigawatts of power primarily for TSMC. So that's AI. Not for data centers, but for fabs. For the fabs, for the chip factors. I had no idea they were so electricity-intensive. So significant demands in Taiwan for that adjacency. And that's happening in the US too.

As you think about some of the chip-fab factories that are being built. So it's not just the AI factories. It's the infrastructure around it that needs the electron. Okay. Help me understand some of the less sexy or less obvious maybe pieces of the grid that need to be modernized, need to scale up. If we're familiar with the turbine, we're familiar with the nuclear reactor. These are very tractable things, but I'm sure there's so many other pieces of the electron delivery supply chain that are important and you're involved in. I mean, if you just take a step back, the system is really is built, was built for a coal plant.

to in one direction flow electrons towards a house or a factory. And that was a 24-7 flow, very stable. Exactly. And then you still had peak demand during the day or during the summers. Exactly. So that was where we started. Yeah. Now you have all these variable forms of generation.

Yeah. On top of that, you have electrons that are going to multiple directions because you have people selling their electrons back into the grid on their roof. Yeah. And the system is not optimizing all those electrons. So we have an old machine for all intents of purposes that is not doing a great job matching the supply with where the demand is. Part of that is for boring reasons like we have islanded grids in the U.S. It's not one connected machine to project things to where it needs to be.

Is that possible? Yes. Given the geographic diversity and like how spread out the United States is, Is it possible that I could sell electrons in California and it could wind up in New York? Certainly in the 48 states for sure. Really? I mean, there's no reason we shouldn't be able to build a meshed grid that works. Today we don't have that.

Now, I think in this regard, the federal government's pushing hard on historical precedent to try to drive efficiency because that's a faster way to incremental electrons in some way than simply building more plants. We're working on that. Part of that is making new connections that bring islands together. Part of it is also, and this is frankly the harder part, different regulatory structures and market practices to allow different players to get paid in that. And that is sometimes harder.

But we're working our way through that. Talk about nuclear timelines. We've seen a bunch of announcements from hypers. It feels like 2030, 2032, you see 2035. Even stepping aside from your business, just broadly, I think a lot of us tracked Vodal. That took decades. When do you think we'll be getting new electrons from a new nuclear plant in America? You bet.

I mean, I start with the fact that we've got about 56 existing plants in the U.S. that can add 5 gigawatts of power by upgrading what's already running. Okay. That can happen this decade. And that's real. And that's real. So that's the first step. Sure.

New incremental plants, 2032, 2031. That's about right. Yep. But then we can scale. Yeah. And in the next decade, this can become a much more meaningful part of the equation for the country and the world. Okay.

Yeah, that makes sense. Is that going to be deeply capex intensive at some point once that 2032, there's a rationalization, a realization that it's working, but we, in order to 10x, 100x, X, the nuclear production, there's going to be some sort of capx boom in a delay in the investment before it gets recruit and starts generating electricity? Nuclear is definitely KAPX heavy, but then it lasts forever. Yeah. So the life cycle cost of nuclear can be very compelling, but there is a significant upfront

cost. Talk about some of the other initiatives that are happening broadly around electrification and just grid reliability. We've talked to companies that are doing home batteries to try and release some of the, there's the Tesla power wall, there's base energy, there's a few other companies that are working in that space, are there any other sort of near term between now and 2032 steps that you think America or the grid should be taking to just modernize and create more efficiency and more electrical abundance?

I do think in most applications you're going to continue to see storage grow in the system. We historically think about storage primarily with solar. The reality is storage is going to start to be attached to many power generation sources to create more optionality for us. And that's a good thing. And that attached with software can ensure that we get more of the electrons where it's needed. Yeah. You mentioned solar.

What is the bull case for an American solar dominant industry? It feels like China is very cost competitive. There's discussions of, hey, if they're cheap, maybe we should just buy them all and install them. We have a friend who has that take. There's other folks who are more on the tariff and let's put some barriers in place. to give our indigenous industries a chance. Yeah. Where do you fall on what it takes to roll out, I guess, as much solar as we need?

Yeah. I'd say stationary equipment, solar panels or batteries, shine ahead by a lot. Where they struggle still to a larger extent is with rotating equipment that requires another level of material sciences. That means tracking the sun? Well, no. Outside of solar. Okay. So I'm shifting in the comparison to a turbine, wind turbine, although they're competitive there, nuclear.

It requires another level of heat-resistant technology that we still have quite a lead on. That's great. But on the stationary equipment like a solar panel or storage, it's going to be tough. The investments that have been made in those factories to automate and the CAPEX required, that is a challenge. But the reality is the country has a lot more resources than China has. Sure. We have very inexpensive gas. We have a much more advanced nuclear industry here.

We have plenty of land that has good wind and solar to take advantage of in a grid that we can do more with that already exists versus having to create it from scratch. So we have a lot going for us. But in this regard, we do need to build in a different way going forward than the way we have the last 25 years. Albeit, there wasn't a lot of electricity demand growth the prior 25 years. Yeah, yeah, that makes sense.

Lots of Silicon Valley companies today building in energy, how are you thinking about M&A over the long term? I think a lot of these teams are very talented. Many of them will probably create interesting innovations, but a lot of them won't necessarily get to real scale and maybe be a standalone public company, let's say, but could be an interesting tuck-in for a platform like GEV. How are you thinking about M&A?

Are you meeting these companies? Do you ever invest in them? It's a big part of our future. I mean, we try to lean into the ventures game more and more, but we want to be thought of as a partner that these companies come to. Because we do know how to industrialize things at scale. We have very strong relationships with the end customers. And part of why I appreciate opportunities to come and talk with you guys,

that's the company we want to be seen as, as a partner of choice, whenever they choose that. It doesn't have to be M&A and an acquisition. It can be an alliance in different ways because it's going to take many different partnerships and many different structures for us collectively as a country to meet the moment.

For a NOVA also doesn't have all the answers. There's a lot of stuff we know how to do, but there's a lot in this ecosystem that we've got to get better at, which is why to some extent one of the big pluses for us right now is as our customer, customers have shifted more to Silicon Valley, and it's about 20% of our backlog today, they're making us better because they think about innovation differently, risk and reward a little

bit differently. And timelines, maybe. Timelines for sure. Timelines for sure. And I think that's good for everybody. Totally. Totally. It's good.

Right now, there's, you know, maybe, you know, everyone's frustrated because they want it, they want it now. But at the same time, yeah, just increasing that innovation. will be better for everyone in the long run. Did you feel like you went through a culture reset process during the spin-out? What did you take from GE versus what did you try to create build from the ground up? The fact that I had been there, have been 25 years, it's because I always like the ambition of the company, and I always love the people.

At the same time, we always didn't perform as well as we could have, which really comes back to focus. And the beauty of the spin-out is it got us focused on one purpose every day. We weren't competing with a healthcare business or an aircraft engine business for capital. Our board wasn't diversified to solve many problems. We're here to lead and expanding the electric power system and ultimately decarbonizing the world in the process. And I think that focus, as much as anything, is also helping us attract another level of talent. Totally.

Because I think a lot of young people see climate change as an example, one of their generation's biggest challenges. and there's no confusion that Vernova can be a company that can move that needle at scale. So it's helping us just perform better with focus. It's also helping us attract another level of talent and create our own culture while still protecting for the ambition and what was a great people culture. But we were a big company inside GE and sometimes too many goals or no goals at all. I love that. You're like it's so nice being at a small company now of $85,000.

I have two final quick questions. One, I would love to know what a year in the life looks like for you. Like, where are you spending time? Where's headquarters? When are you on site? When are you with customers? Like, are you flying around the world constantly? What's your day-to-day look like over the course of a year?

Yeah, I mean, our headquarters is in Cambridge, Mass, in Austin. And we put the headquarters there because we did want to attract those young people that believe climate change matters and to give them a platform to start their career. In that regard, it's worked. All that said, I'm not there much. I've spent 10 weeks so far this year outside the U.S. That's a lot in May. But the reality is, this is a unique moment. There's a lot of complexity from a geopolitical perspective where governments are very engaged on power generation buildout. So you have to show up and have those adult conversations in person. Sure.

So this year has been very heavy international travel. Sure. I'm on the West Coast multiple times a month. That's a given. Admittedly more in Northern California and Seattle than L.A. But right now we need to be consistently co-creating with our customers because they're learning every day what they really need. And this is shifted from what it once was of buying a power purchase agreement

and then just getting the electrons to asking, not just for an electron, but to build an integrated system that allows them to run their end application the way that they want. And frankly, every customer has somewhat different strategies for what they want if it's AI, for what that AI factory needs to do. We need to co-create with them if we're going to serve them. So we're showing up, and I need to show up. And then last question, it seems like an incredibly AGI-I-proof company or,

beneficiary and there's a business is huge and diversified. What does it take to get a job at G. Vernova today? Humility, intellectual interest, and a real belief in the purpose. We are a company that's hiring a lot of people right now. Take our neighbors at MIT. We've got 69 kids starting with us in July. You took the whole class. It's a lot. 69. Because we need to complement those production workers with young engineers that get excited about building something. And that's one of the things we're excited about. I think sometimes we talk so much on the risks of job loss through AI. We're going to build a lot of cool stuff and be proud of it. And that takes a combination of a lot of different types of people. And we want them to be with Vernova. That's amazing. Do the hyperscaler

CEOs wine and dine you? No. No. There's that apocryphal. story about, what was it, Larry Ellison and Elon Musk, begging Jensen for GPUs and it's hotly debated. Are people debating, they're not begging you yet? We're working hard to serve them. Okay. That's great. And showing up with as much humility as we can and working to meet this moment. That's great. That's great. Well, thank you so much, Scott. Thanks for having to meet you. I appreciate it. This is fantastic. Our next guest is already in the waiting room. We have Brian Elliott from Blitzy. He is the CEO with a huge. huge fund-wasing announcement coming in to the TBPN Ultrudome.

Let's bring in, Brian. How are you doing? Here we go. Hey, guys. How are you? Quick transition. Thank you so much for taking the time. Please, since the first time on the show, introduce yourself in the company. Yeah, so Blitzy, we're announcing the $200 million financing at a $1.4 billion evaluation today. So we're in... Nice. Thanks, guys. Appreciate the love. So we're an autonomous software development platform, specifically designed for complex enterprise

use cases. So we serve banks, insurance companies, anyone with huge amounts of code. And we do autonomous work, meaning the system will run for days to weeks autonomously, recursively improving the code using all the foundational models together and Open AI, Gemini, and Anthropics models. Yeah, it's fascinating. So what is the go-to-market motion for you? I mean, you're focused on the biggest companies. Like, do you have, like, tell me about the shape of your sales force, like what the process is like to actually deliver value. Because I imagine that. that a lot of times you're going up against like the build versus buy question almost like, should we just build something like this internally?

Should we just use the tools directly, the models directly? But you clearly have a fantastic value proposition because you've seen a lot of traction. Yeah, so we go in direct, right? It's very much like a Palantir-like motion. So we're going to go in direct. We're going to show you quickly. We're going to reverse engineer your code base, oftentimes 30, 50 million lines of code. And we're going to do all that within 48 hours of installing what C.

Or else. It sounds like a threat. But yeah, obviously that's valuable. I mean, that's the case with all these coding agents is like the first thing is like understanding what actually is the business problem, what's actually going on. How are you confronting like the diffusion question broadly? Like there are so many systems that be like complete code. Oh, it's the beautiful, you know, end-to-end engineered system. And then you realize that, oh, wait, actually like if this person doesn't fill out this form at this time, like,

the whole system grinds to a halt because that's just the way this organization was designed years ago. Yeah. So these are the complex use cases that Blitz used design for. So we designed this for the messy brownfield legacy code base where the system is going to come in is going to create a knowledge graph. And we're building and running the application, right? And so inside of a VM, we are building and running the application, looking at what's going on. And then we've invented a proprietary way to store and then have agents be able to traverse a graph, understand what's going on and then build large amounts of work on top of it.

How did you talk about the category overall during your fundraise is, you know, every single day there's a new company in this space and everything we've seen so far is that there's just such overwhelming demand that almost every company is doing well. And almost every company would have been seen as best in class if it was in another category, you know, based on their growth a few years ago. But how are you talking about the category? how do you see it evolving when everyone kind of wants to do everything, at least in the fullness of time? So I'm curious how you pitched it. Yeah, so we really focused on autonomy. So if you look at what's out there today, there are things that run for a half hour, things that run for a day continuously without a human in the loop. Our system is as core defined to run for long periods of time, where the most inference compute-intensive platform out there, driving up code quality.

We'll have our system. It can run for weeks on end, improving the quality of code, specifically focused on those large, large brownfield code bases. So that's where we found our sweet spot inside of the enterprise. No one else is as laser focused from a technology perspective as we are in large brownfield, large-scale autonomy. And as the models get better, we continue to rise up and take advantage of that. So we are a long transformer. We want as much CAP-X investment into the category as possible. From other people. Yeah. Yeah, we want to put throwing miles.

Yeah, and it's like clearly, clearly a compelling pitch because you raise the 200 million, but it is, it is, I mean, I think it's notable that I would say that, would you say that is quite a similar pitch to many of the other companies in the space, or do you, are they saying they're focused on autonomy, but they're really not in it, and it's more point solutions or, or, models or the world the world has looked at being able to have a system run continuously for a day as autonomy right and what we've done is we've redefined that to weeks at a time right doing hundreds of hundreds of thousands or millions of lines of code that have been end-to-end tested ahead of it getting back to the human so we've set a new benchmark for what's possible against these large-scale code bases and like we're basically saying the frontier for autonomous software development okay i i i can't find it but i saw meta put out a new benchmark today and the benchmark was basically take the frontier model and try and recreate an entire repo, an entire piece of software from scratch, and all the frontier LLMs were performing

very poorly. Like they were 0%, 3%, maybe, it was very rough. You see a similar dynamic with Arc AGI, V3, the frontier models, the most amazing models are at like 0.2%, 0.5%. And then at the same time, you have people with like, you know, AI, AGIEGIS. in psychosis and vibe coding, tons of things and, like, incredible results from the models and, like, incredible revenue ramps from all the labs. And I'm wondering how you square these. Like, like, what, what are the models still bad at? How are you processing the question of,

like, spiky intelligence? Where are you getting the most value and where are you seeing, okay, it's not quite there yet? So you see a rapid depreciation of intelligence after you exceed, like, 100K context window. Okay. And so they're advertising a million, 10 million, there's someone subcube, put out 12 million context. Yeah, I wanted that. I wanted to ask you about that, but continue. Yeah, like they're using sparse attention beyond that point, right? And so you can kind of get it right sometimes.

The academics will call this context pressure. And so what's important is that you limit the LLM's ability to look within its effect of context window just in time, every time, to do the right amount of work. So as the code basis scale, like you see results depreciate pretty dramatically, right? And so you have to be able to have a system level of approach, not just throw a model at it with a slightly larger advertised context window to solve this large-scale problems. And so that means like orchestrators and like teams of agents.

Like there's one agent on this 100K token chunk of code. And it's very good at that. And then it's coordinating with another agent. Is that the solution? Yeah, but code is relational, not serial. And so like, like you can't just say the serial 100K tokens, which is like 10,000 lines of code, but you have to cut it in half to account for prompts and tools. Right.

So now we're talking about a minuscule view. but the entire relational aspect of, well, it's something way over here in this service. That's actually relationally relevant to what's going on just in time. So you have to be able to understand. You have to create an ability to understand code, which people used to do with language-specific version-specific ASTs. We've invented a language-agnostic version-agnostic way to understand code. Well, congratulations on the round. Congratulations in the progress.

Yeah, great to me. Keep on blitzin. We'll talk to you back soon. Have a good one. Bye. Up next, we have Stephen. Alvan from Lambda, co-founder, and the new CEO, Michelle from Lambda in the waiting room. Welcome to the show.

How are you guys doing? Look at this setup. Wow. Suit it up. Suit it up. Okay. Reintroduce yourself, Stephen. Introduce yourself, Michelle, Michelle.

With the purple time. We're very excited for today. John and Jordy, so good to be back. Thank you so much. And congratulations. It's been a while since we've seen each other. And so much has happened in your world, too. So I'm Stephen Balban.

I'm the co-founder and founding CEO, but now chief technology officer CTO. Yeah. And we've welcomed on Michelle Combs as our new chief executive officer. And I'm passing the baton after 14 years. This really feels like we're putting a new quarterback in. This feels like proper TBPN Sports Center. I love it. And it was such an awesome opportunity to.

like this is the first thing that we're doing right after announcing it to the company and to the world and i think that one thing you guys are going to really like here so michel has obviously a very very long history in telecommunication infrastructure whether it's being the former CEO of sprint former CEO of soft bank international associated with and uh you know on the the you know with the McLaren team also on the board yeah of Philip Morris. No way. Oversaw the acquisition of Swedish match.

And I understand that I have some competitors. Oh, yes, yes, yes. So maybe we should speak about it outside of it. Yeah, we should. So it's not seen. What is it? I don't know what you last year. This is the company I started before the show.

Oh, I know. I know. That's right. The, the, the, the, the, the, the, the, the, the, the, the, the, the, the, the, the, the, the, the, the, the, the, the, the, the, the the, the, the, the, the, look, there's telecommunication infrastructure. Yeah. Racing infrastructure.

Nicotine infrastructure and AI infrastructure. It all comes together. It all makes sense. More ingredients to a flourishing civilization. I think you're right. You know, we're really excited to have Michelle on board. And it's an honor to be able to do this as a founder to be able to bring on somebody with such experience. Yeah.

Incredible. They're excited to be there. I guess I would never have been invited without you, Stephen. So thanks to you, I am a cool guy. I'm on this nice show. So I really love it. So we just announced it to our employees a little while ago. Very, very excited, fascinating industry, amazing company,

amazing founder that I have discovered in the past two months. And I guess that we are going to have a lot of fun in order to build the next step of this company. continue our leadership in this industry. So I love it and that's really exciting. Huge industry, huge growth rates, hugely successful company thus far. What is the what is the major goal? What are the KPIs? How do you manage a company like this over the next year over the next decade? When the GPUs are on fire. Well I guess that's the name of the game is a skill. Skill is what matters. So Stephen and team have built a amazing platform in the past few years and we can really start from this foundation and

turbo boost the growth. So I'm really coming in order to help Steve to unlock the growth of this company. Sky has no limit. So we know that. So it's just about scale, skill in terms of capital formation. So that's something and you will have seen that we are strengthening the team also in this side on this dimension in order to be able to raise the right level of capital, whether it's equity, whether it's debt, whatever is needed, in order to accelerate our growth and scale

also in terms of operations. So it's about, let's say, finding the right sides, finding, of course, the right GPUs, and just making sure that we can assemble all of that in order to have the best service, the best quality, the best quantity of compute, and the most efficient computing power for our customers. So that's really about executing. In fact, the dream of Stephen, which has started. started the dream, which had put all the ingredients together. And my role is just to accelerate that with my partner in crime, Steve.

So which I love the idea to partner with a founder. As you can see, I'm a little bit older than the founder. I have an experience which is a little bit outside of the founding place. I'm serial executive, but I have worked with many founders in my previous lives, for example, at SoftBank. And so I really enjoy, I really like to team with a founder. and especially a founder like Steven. So that's already very fun.

Look, look, how he's dressed. He's dressed like a French guy. He's dressed for you. So look, look, he has already a tie. I'm surprised. I got a Charvet tie. I picked up in Paris, and, you know, that's a good premonition for...

Stephen, where do you want to focus? Sorry for the French guy, we should just look at his shoes. So he made a mistake there. He made sneakers with his suit. So now we can take it. I just wanted to show you that there was an issue there. Wouldn't be an AI CEO with like proper dress shoes.

Made in America new balance. There we go. There we go. Stephen, where do you, where do you want to like, obviously you're going to be focused on technical responsibilities now? Where do you want to focus? Where do you see the opportunity for you to have the highest impact? Yeah.

So I am going to be continuing to lead product vision, technology direction, and working on just really high impact. high velocity products at the company. I mean, one of the things that I've done historically, even just in the past couple of months, is really spit up a ton of agents, really show how software engineering is supposed to work in the new world.

And on top of that, I'm just still deeply involved in standing up new infrastructure. So whether that's like hiring and recruiting really great, amazing technical data center experts, you know, assisting with the strategy around how do we go from leasing data center space to owning and operating data center space. I'm just going to be involved in wherever is like the highest impact for me. You know, when I was thinking about these roles, I kind of looked at the people who I really

looked up to in business. And, you know, the CTO role is the one that's kind of styled after somebody who I really look up to, which is Larry Ellison. And, you know, when he transitioned to the, he transitioned to a full-time CTO position. Yeah. And when Saffircats and Mark Hurd became co-ceeos of Oracle. And so I figured that was an apropro title given that I look up to him so much. That's amazing.

How are you thinking about focus right now? People know Lambda is a way to, you know, lease compute on a short-term basis. We've seen other companies expand into everything from buying land and building supercomputers to training their own foundation models. offering APIs. It feels like there's always a question of do you want to do more, but if the current thing's working, do you stay focused? How are you thinking about these tradeoffs? Michelle and I are exactly on the same page, which is focus, focus, focus, focus. We are building a generational company that is going to last for 100 years, and we're going to do that by having

the most compute at the lowest cost basis, offer those at the lowest prices, and the most flexible terms so that we can delight both the largest, most important model builders in the world, like OpenAI, and the developer. You can't forget the developer who have built the entire industry and ecosystem that surrounds this company. I mean, Lambda is really the developer's cloud. It's founded by a software engineer. It's built for people like me. And so we're going to have that combination of both of those and focus on that.

Well, congratulations and thank you so much for coming on the show. Can't wait to catch up with you soon. You guys look fantastic. This is fantastic. We'll have you both back on soon. Talk to you soon. John Jordy, congratulations, guys. You take care.

Goodbye. Thanks, you guys. Cheers. Bye. Just yesterday, Ryan Cohen of GameStop offered a $55 billion unsolicited bin for eBay, targeting $2 billion in cost cuts, and we have him joining the show with us now. Ryan Cohen, welcome to the show. Thank you so much for taking the time.

How are you doing? How are you guys? Great to see you. Fantasticly. I would love an update. What can you share with us on the situation as things have developed since yesterday just to sort of set the, obviously this is moving very quickly. Where are we right now?

What's happening? We made an offer yesterday. $125 a share. half cash, half stock. That was funny, wasn't it? Have you considered 49% cash? Why did you get to half cash, half stock? Can you unpack that a little bit at least?

Well, I mean, frankly, when you think about me going and running the eBay business, what we're proposing is for existing shareholders to take half of their investment off the table and that would be us providing them with 28 billion dollars, which is like a 40% premium from when we started buying the stock. And then they would be getting roughly, I mean, it depends on ultimately when the transaction closes, but they would be rolling the rest into the combined company of GameStop and eBay. Frankly, with me running eBay, I think that the company, the earnings power of the company is going to increase substantially, as well as the ability to grow.

The platform stagnated over the last decade. And I could do a lot with eBay. I love it. That's a very strong business. And that's right up my alley. Take us through the big vision. Like in five years, you're at the time. helm like how big can this business be are you expanding it obviously there's an operational

efficiency point but what is the big picture what's the blue sky pie in the sky vision for the combined entity so where we've had success at game stop and where eBay has had success is in collectibles trading cards uh collectibles the founder your show was uh was talking about his Simone Blancet. And that's a good example. That's a perfect item to go and buy on eBay, but you're always concerned that isn't going to be real in the trust. And that's something that using GameStop 1,600 stores,

we can immediately authenticate that item. The seller can ship it or we can ship it. But we've got 1,600 access points that we can do live authentication. So we can go. deep in collectibles leveraging our physical infrastructure. We can increase intake by bringing a lot more product onto the platform. And then there's a lot of other categories that I can grow in. And you know, you look at live commerce as an example. I mean, eBay has 130 million users and they're getting crushed by competitors in live commerce. So an owner's meant to

I want to own eBay forever. I love that business. It's run like a public utility. It should have been wiped out, but it hasn't been. Yeah, it's been remarkably resilient. How many companies, how many startups have gone after a specific category on eBay raised $100 million plus dollars, and yet eBay has remained resilient. It shows that there's, you know, it's a, you know, it's a It's a really powerful platform. Yeah. That's why I love it. And, you know, the website still looks the same as it did in 1995.

But everyone's tried to kill this thing. Yep. And it's still making over $2 billion a year. So that goes to show you the durability of the business. Talk about live commerce more. Would that be just a better integration with TikTok, Instagram streaming, Twitch streaming? Do you need to go and partner with big,

creators, do you need to find your own platform for that? How does that actually play out in a world where eBay and you are making a bigger push into live commerce? It makes a lot of sense, but I'm wondering, like, how does it actually work? Yeah, it would be partnering with creators. I mean, they've got the platform. We would improve the platform, so it looks better and more consistent with the kind of UI that you have at competitors. But there's the user base. And so it's not something you have to market. It's building out better tech and partnering with creators. Yeah. And the correct incentive structure for those creators, because I bet you right now, you can probably go get some referral code or something, but it's not deeply integrated in a way

that you can really accelerate on a social platform. Why do you think eBay, has eBay been a target of any type of deal like this in the past? I'm not familiar with any off the top of my head, but why do you think maybe it hasn't been more of a target. And I guess why do you think you can get more efficiency out of it than maybe some other potential buyers who I'm sure see their costs? Marketing is something that people gravitate towards. But I'm sure you're seeing other efficiencies as well. So in terms of the competitive landscape on an acquisition, I think there was some people

circling around a few years ago. Nothing happened. The strategics can't really do it because I don't think that they would be able to clear antitrust. So any of the large competitors wouldn't be able to acquire it. And, you know, I don't think that we would have any regulatory issues getting clearance on a merger. in terms of the efficiencies, GameStop is a good example. Like, GameStop is a dog, and it could have been dead. And we've breathed a lot of life into this thing.

Right? And you look at SG&A, we've pulled out, we've dropped SG&A by $47,000, $800 million by making marketing more efficient. almost turning off marketing. I mean, everyone knows GameStop. Everybody knows eBay. So you talk to the marketing people that tell you, like, it's going to tank revenues and all of this. And the reality is most of that marketing spends isn't making money, but everyone's trying to protect their jobs.

And there's kickbacks. There's all kinds of perverse incentives. And so I'm running the business like a family business. You know, it's really not that complicated. and you look at eBay spending two and a half billion bucks to grow one million users, two billion in cost cuts between sales and marketing and corporate overhead. It's not a lot. And it's not something that's going to take a few years.

It's something that is going to happen fast, fast, fast because I'm putting leverage on this thing. And I don't want to run a leverage of business. So I'm not going to run it hot. I'm going to pay down the leverage and I'm going to increase earnings. they're spending five and a half billion dollars on operating expenses on 11 billion dollar business that has no inventory and it's asset light so it just there's 11.5,000 employees and it doesn't make sense it doesn't you don't need a I could run that business I could run that business from my house like it's it's eBay it looked the same as it did in

1995. They need 11.5,000. So is the Elon, Twitter, take private, somewhat of an inspiration here? There's been a number after that happened. In many ways, the business suffered, but maybe it wasn't because of the deep cuts that he did to the team. The service kept working. Yeah, the service kept working. It's still a great product. We've been surprised that more CEOs and management teams haven't done something like that with businesses that are household names but somewhat stagnated. Is that an inspiration at all? Yeah, and Twitter is a good example. I mean, what really happened at Twitter was that the advertisers, I don't know what the situation is now,

but they pretty much conspired against him. And, you know, it had nothing to do. My understanding is it really had nothing to do with the cost cuts, more of just the advertisers conspiring against them because of the demented political landscape and the fact that people apparently are against freedom of speech. And so like you look at the usability of the platform and the teams, the engineering teams are much smaller and they're innovating a lot faster. So it's actually the opposite. The more people you add, the more you slow things down. And the fewer people you have, the more, it's like a startup. You've got to always be in startup mode.

And you build big teams and nothing gets done anymore. Do you think LLMs will be a tailwind for eBay over the next decade? It feels like for the long tail of commerce, you're trying to find really specific items. It feels like LLMs and people doing research in these products could be a catalyst for the business. Maybe there's things on eBay that would be tough to find. But if I'm really getting precise around prompting or running these sort of agentic search, purchase, maybe I have a higher likelihood of purchasing something. Yeah, I mean, I think about all of the things that can disrupt the business in the future.

And, you know, I think that eBay is the kind of business where the future of the business model is more certain than most tech businesses. And that's why it's done so well. And, you know, there's been such a lack of innovation, yet it hasn't been able to be disrupted. So I would expect that to continue to be the case. If it doesn't materialize as an M&A, are you looking at a board seat? You have a position. Will you be more active in a non-M&A scenario? Yeah, I mean, I'm going to do whatever we need to do to protect our investment.

and to improve the business. But the goal here isn't to be an activist. The goal is I want to own eBay. I want to run eBay. I want that to be my baby. I want to build something much larger. And cost-cutting, frankly, is the way to make the business more efficient

to pay down the debt and innovate. And when I think about what I can do with eBay in the future, like look at Chewy. Yeah. eBay is like chewy on steroids. And so there's so much more runway and it's global. Yeah. I mean, it seems like a huge opportunity. How do you want to be comped? Based on performance 100%. Is there any tension between you and the shareholders? How do you actually create alignment there? It would be. My current compensation plan is tied to really lofty metrics. And it's based.

based on the first tranche, I've got to double market cap as an example, just to hit the first tranche and the 10x in order for it to fully vest. So I'm not interested in. Yeah, I haven't taken a dollar of salary or any bonuses. You know, it's funny, actually, I just got a call from my team today that said, this is how I know they hate me. They're not happy about this, by the way. The GameStop. This is the GameStop team? eBay.

No, eBay is not happening. Yeah. After this interview, they're really not going to like me. Because they're going to find out I'm cutting marketing spend. And the board already is like me because I'm calling out all the board fees. But I get a call and I say, there's a, there's a, they're calling out your personal assistant. I said, what are you talking about? And they said they went on the GameStop's career page and they saw that there's a listing for the personal assistant.

and it's all kinds of personal stuff. And that's basically a CEO benefit. And, you know, it's basically not, you're using company resources personally. I pay for my personal assistant personally. I don't even pay for my... The company doesn't pay for my personal assistant. So they're already starting to get...

They're doing whatever they can. They want to fight 30. Have you... Has any... major eBay shareholders reached out to you have you had you know what what is the general sentiment you know how do you think what do you think it'll look like if you take this uh directly to the shareholders i don't know i mean i would want to i want to own ebay at a hundred and twenty five dollars a share we're proposed there's tax advantages to rolling it but when i think about what ebay could be

worth if i'm running this business i believe it's a heck of a lot more than a hundred and twenty five dollars a share. So I would roll 100% of the equity, but we'll see. We'll see what happens. What do you think of Michael Burry's critiques? A lot of people were talking about him exiting yesterday. He doesn't believe. Have you guys chatted? I haven't chatted with Michael in a long time. I've seen he's more active than he says his investing philosophy. So I figured the, you know, his risk appetite

and, you know, the leverage we're putting on just it didn't make sense for him. But it seemed as though it was more of a trade more so than anything. Yeah. Looking at the price act, yesterday, is that reflective of sort of like a shakeout of non-believers and you feel like you have the right people around the table now?

I am. When I think back to Chewy, every single day was a shakeout. Yeah. So I don't know. It's hard to diagnose the shareholder base. And I'm focused on what I could build over a long. period of time and yeah if I got my hands on eBay I can build something worth a lot and much larger than it is so was paramount at all an inspiration I'm gonna ask I've looked at

it um I you know what they did is really interesting too just because a smaller company buying a much larger company but the deal still went through the capital was was marshalled that was something that I think was unclear yesterday yesterday for some people was, you know, half cash, half stock. Where is it coming from? How much of this is just an ongoing conversation? And as you work through this process, you'll engage with other, you know, pools of capital or financiers to to actually put together the final package.

Do you have a date that you want this to like be done by? I mean, we have the cash. I mean, we have the cash accounted for today in terms of, of a highly confident letter from our bank for the 20 billion plus we've got 9 billion of cash. And the rest would be them rolling the equity into the combined company. Sure. Yeah, I think that was the rolling of the equity was the thing that if it had got into the viral clip from CNBC yesterday, would have made a lot more sense.

I'm glad we're getting it in now. Yep. Is there, I guess, how much of your critique of eBay is specifically around the current management team? They've done a decent job. Look, it's anyone when you've got perverse financial inset. They're not operating like owner. Just, you know, when you've got it all on the line, you're going to do whatever it's going to take. 20 hour days, seven days a week, you're not going to stop. And when equity is given out to you, like, candy. I mean, it's it's it's all companies. So you know, the directors, uh, board of directors make four million dollars. It's like 350 to 450,000 or director. There's been no insider buying at the company. I mean, like it's not a surprise. They're not going to light the money on fire. They're

not going to light the world on fire. You've got a bunch of professionals in the board and a professional management. Yeah. If this deal goes through roughly, what percentage of your personal net worth will be tied to it? Well, I haven't done the math, but if things go correctly, then it better be the majority. Otherwise, I'm wasting my time. Yeah. What was your first memory using eBay? Were you a power seller back in the day?

Very good question. I bought and sold DJ equipment on eBay back in, like, 2003. It was amazing. I don't remember my first transaction, but I'm going to have to get back to you on that one. Okay. With GameStop, last time we talked, you were mentioning a little bit of expansion into digital goods, less physical material and stuff. Like, do you think that there's an opportunity for eBay to play in a digital marketplace or in a world where certain collectibles or certain goods, become digital or the market shifts towards more digital goods and would you like to see eBay expand into that?

Yes and yes in terms of a digital marketplace and they are already doing it to a certain extent. I mean like all kinds of Roblox digital items are bought and sold but and I've actually bought them for my kids and there's so much fraud on the platform like we're buying stuff it's not a real item, end up having to do a chargeback, but then it ended up getting delivered. So you can't do a chargeback. So like they've got the basics of it, but it's not being done well. So like digital gaming, totally. That's a huge opportunity to dig into.

There's so much potential. On digital stuff, I guess, you're obviously interested in cutting costs. Are you optimistic that stable coins might be a path to reducing costs? It's a high volume transaction business. Obviously, a lot of credit card fees. Maybe there's a way around that with stable coins. We hear that from a lot of stable coin founders. Haven't heard it from as many operators.

What do you think? I don't have a point of view on that. I haven't looked into it. I think the sellers would probably be eating the cost, but potential option. Yeah. I don't know. Do you have any sense of how eBay is using AI internally today?

Have they spoken about it much? Do you believe they're getting very much leverage out of the models? Do you think there could be quite a bit more? I've seen that they've made listings easier in terms of just generating product descriptions and stuff like that. So I think they're kind of like doing the super easy stuff. Still, there's a lot of friction to sell a product on eBay. Like, it's just, it's not easy.

So the benefit of our 1600 stores is we have the ability to increase intake, but I would go through it and I would make it as simple as possible to, have a real item for sale as a seller. And there's a lot of steps. It's just it's a pain in the ass. It's too difficult. 600 stores in the world where you combined eBay and GameStop. Do you expect that number to increase, decrease, stay the same?

It's a good question. I mean, our footprint is a moving target. we have, this was part of what appealed to me originally when I went into GameStop was the leases were short term. So they're like two to three year leases. And as we see how the business performs, you know, we decide whether or not it makes sense to renew the store. So, I mean, it's, it's going to be dependent on utility of the store. It's like if there's traffic and if profitability is increasing, we'll keep the stores open. And if it's not the case, then will shrink the store base.

Okay. A couple other scenarios. In a world where an M&A doesn't happen, is there a business partnership to be done where verification of rare collectibles can happen at GameStop physical retail stores for a price and eBay is paying GameStop for that service? Is that something you've explored?

Is that something that's at all likely to happen? Well, that would, So yes, and it would basically take $0 in CAP-X in order to something like that, and it's a good idea. I hope that doesn't happen because I want to run the entire thing, but if it doesn't, then there's a partnership option. I reached out to eBay, like, I don't know, maybe a year or two years ago to talk to them about partnering, and they didn't engage seriously. Like everyone that, everyone's on vacation. Everyone's always on vacation. Like they're not available.

They have assistance. I'll get back to you next week. And it's like, let's go. It's getting done now. So then they never get back to you. Then you're following up. It's like there's, there's, there's no sense of urgency. Yeah.

At that company, there's no sense of urgency, frankly, at most company. And so it never gained any traction. Okay. Etsy is trading. $6 billion. Is that a target if the eBay plan doesn't come together? No collectibles action there. It was in the chat. I got to ask. eBay's just such a natural fit for the collectibles leveraging our store print footprint, but then also like my ability to cut costs and build something much larger at the company.

So I don't know, everything else is if it doesn't work out, we could find something else, but I like eBay. It brings me back to my roots. What's something that eBay is not doing today that you think they could expand into, or is that even the right question? Do you think the core business is just so great, and they're so dominant in many of these categories that you just want to pour fuel on the fire? Live commerce.

Yeah. But to me, to me, that's an extension, right? Because they have a lot of inventory. It's just a new selling channel. Yeah. Yeah. But I mean, in terms of doing that well, accelerating revenue growth, you know, I think that that is, that's big. And so going much deeper into collectibles in luxury, trading cards. There's, there's a lot of runway there. Do you have a position on international capital providers? A lot of these big deals, maybe they started 50 at half cash, half stock. They wind up being more leaning cash. That's what we saw with the Paramount Warner Brothers deal. Are you interested in talking to international sovereign wealth funds, that type of capital provider? We're looking at a variety of different options.

currently. Makes sense. Mutual friend of the show and GameStop Mod Retro, they've been pretty aggressively pushing into this retro gaming category. How do you see that growing? Our team at the office recently got an old

Xbox 360 fired it up. I can see retro gaming just getting more and more popular, but what's your view on the category right now and where do you think it's going? uh we are we've uh we have the return rates are kind of high but we're we're building out the retro business in our stores currently so that's uh that's a that's a it's it's it's still small but it's a growing category for us mm-hmm uh what do you want to see the rest of this

week how do you how do you uh how do you see it playing out uh i don't know it's good question. Balls in their, balls in their court. Pretty much. Yeah. Well, we'll let you get to it. I'm sure you have more calls.

Thanks for jumping on. Thanks for jumping on. You're welcome to join anytime. Let's do it again as the story progresses, but we're enjoying following along. And if anybody out there wants more information, it's on the website. Yeah.

It's on the website. If anybody asks you how he's paying for it, just tell him half cash, half stock. You got the beginning and the end the interview. Thank you so much for coming on the show. Great to see you, Ryan. Have a great rest of the week. Good luck out there. Cheers. Goodbye. Oh, what a fun interview. It's on the website. I like the thesis. I keep coming back to. I like the thesis. I was confused about the financing. I feel like an idiot

now. A friend of mine who's a investment banker was like, yeah, like this could totally happen just the way he's describing and everyone who's sort of, you know, reposting the clips thinking that it's crazy, it actually makes a lot of sense. And it could happen if the shareholders decide to roll forward. We'll see how it plays out. We'll see what happens. Obviously with Warner Brothers, there was like an incredible pushback against any stock and it wound up being all cash at the end of the day. But that was the Netflix thing. The real question is, do we see a dark horse Netflix style bid for this eBay company? Do we see somebody coming out? I can see it. I think a lot of people just weren't thinking about eBay too much. And,

And now that they see this business has been immune, not necessarily immune, but face an onslaught of competition, vertical competition in every single category from watches to collectibles, to sneakers, to fashion, over and over and over. So much venture funding has gone into attacking their business, and yet they have remained remarkably durable. It is very immune to AI, especially collectibles, right? no amount of AI-led abundance can generate more rookie cards from, you know, 20, 30 years ago. So it seems like a great business. I think Ryan has a strong vision. I would not be surprised for some other players to also get excited about the opportunity now that he has so pretty eloquently explained it to the world in his own words.

And thank you to the chat for hanging out. You guys, the GameStop crew, you guys really are a fan. family. We've had, we've had thousands of guests on the show and no one shows up like the GME crowd. They're the real deal. They're the real deal. They were asking us about some jargon that I didn't understand. I'm sorry if we didn't get to your questions. We tried to get the ones that sort of fit into this story. I don't have the full context on everything that's happened in the GME ecosystem. So good luck. We'll work on, we'll work on getting Ryan back on. We'll talk about more. As there's more news.

He did have an interesting point that he says that he doesn't think any of the larger e-commerce players can make a bid because of antitrust considerations. I think he's thinking about Amazon. Maybe Shopify. I don't know who else would be in that category of potential buyer, but then regulatory FTC, I don't want to dip my toe in. But when I think about... Shopify is an interesting one. Yeah, Shopify. eBay really is a platform, right?

I don't know that it makes any sense together. I'm not sure that it does either, but you can imagine they would be able to, you know, we're going to get hardly the screws to them. I was just thinking more like these scaled PE funds that. Oh, yeah. Well, that's not a regulatory issue. No, no, I know. But I'm saying that's a potential dark horse.

Totally, totally. Specifically, because they don't, they're kind of paralyzed, right? They're worried about investing in SaaS that they'd be sitting on a bunch of SaaS companies that they can't exit for reasons we all know. Yeah, and this one might be more durable. I'm just thinking about the Amazon, like, would you, like, who is the Netflix of this story? If he's the Paramount and eBay is the Warner Brothers, it's the, it's the $10 billion company going after the $50 billion and $100 billion company, who's the Netflix in that story?

It feels like it would be Amazon, but Amazon's so dominant in e-commerce, maybe a Shopify, but even then, the thing I kept coming back to, too, is like we've always said it has been shocking that the Elon Twitter playbook hasn't been applied to more companies. Again, the Twitter acquisition has not, didn't go well. But that was because the reason that Ryan talked about, which was the advertiser bailing. So if, you know, ads been on the platform craters, but you have these companies that have real network effects like Twitter, like eBay, I do think you can cut pretty dramatically

and still have a thriving platform. At least, you know, my experience on X that we went through a period where stuff was pretty buggy, but I think they figured it out. Yeah. Yeah, it's funny. Talking to him, I get the GME Army's love. Like, I get the thesis, the way he thinks about things, the way he talks about things. Obviously, tons of ups and downs in the journey. But like the basic thesis of the combination.

Yeah, the other thing I'm excited about, there's so much stuff in my house. that would sell on eBay, I just never find the time to go out. I don't want to deal with photographing it. If I could just take a car full of stuff, take it to eBay, they can say, I will take this, donate this stuff. I would happily do that. And I think that the integration with their existing retail footprint is interesting. I don't think they probably need 1,400 stores.

1,600. Yeah, I agree. It's unclear. I mean, obviously he's going to cut the ones that aren't performing. well and add ones that are obvious, but what is the net effect? I don't know. I actually don't know where stores have gone over the past six years while he's been running that business.

I would love to know how many stores did GameStop have before Ryan came in as CEO. Maybe we can look that up. But in Amazon news, the number of monthly releases of e-books on Amazon is going vertical. We are in the fast takeoff of AI slot books, apparently. That is the conclusion. John Arnold just says, ha ha ha ha. And it does look like the rate of publishing on Amazon is going absolutely vertical. Explaining this to somebody in 2022, there's going to be a renaissance. Four years from now,

there's going to be 350,000 books being published every month. Every month. And they're like, you're not going to be happy with why, though. Yeah, it is crazy. I mean, if you had asked me to guess how many books were being released every month on Amazon in the pre-AI era, I don't know if I would have put it at $100,000. That's a lot of books. I feel like we talk to a lot of authors. I see the hyped books. I see the New York Times bestseller list.

I don't really see the 99,99, or 99,900 books that don't make the cut in the given month. I maybe hear about five or 10 new books every month. but lo and behold, they were, in fact, churning out 100,000 books. Now it's over 300,000 books every month on Amazon. Bullish for Amazon. If you like slop, it's good for you too. I don't know. Maybe there's some good stuff on there.

It all depends. The models are getting better. They're getting less sloppy, and I think people will wind up liking them. There's some AI videos that I like out there. You know, you know there's going to be one book that's fully AI generated that is of high quality. Tyler, did you get the stat on GME stores pre-biased? out, I would love to know. You don't need to cut to him while he's, while he's looking it up. Brutal. We can come back to that. In other buyout news, Long Lake, very under the radar company,

but has been on an absolute tear over the last couple of years, is taking Amex, GBT, Global Business Travel, Private. I could see Long Lake being kind of interested in eBay, too. They've They've maybe got their hands full with MXGBT, but incredibly talented team have been really unlocking the power of models. So it's a $6 billion take private. It's also interesting because general catalyst, Mark McGarra, is sort of talking about the story of Long Lake. He says, we had the first Long Lake team retreat at my home in Miami just two and a half years

ago when the company was getting started. It's been incredible to watch the talent team have brought together to transform the services industry into one of growth and abundance with AI, excited for yet another milestone. General Catalyst is honored to be the partner from beginning and excited to continue the strategy of backing what we believe are the best AI investments. And interesting because General Catalyst is also an investor in Ramp, I believe. And so there's a question about like Ramp has a travel product. How different is MX business, global business travel from Ramp travel?

Obviously, there's some overlap there, but there might be some synergies since there's board members in common now. Who knows where this goes, but at 6.3 billion, that's a small slice compared to ramp, which has been on an absolute tear. Another big race before we close out for the day. 11 loud. For Mattie. Cross five, half a billion dollars. Welcome new investors.

BlackRock, Wellington, and Vidia. Is this a raise or is this just a flex? They're just flexing the ARR. Yeah, they welcome some new investors. I don't think they, I don't know that they announced their new valuation. Well, leave with the good stuff. Mitchell Green would be very happy. If you have ARR, that's what you report.

If you don't, you report the valuation. And they are making some serious progress on the commercial side. Yeah, some serious institutions coming in. To the team over there. Tyler, I think Tyler has an answer. Yes. Has, wait, wait, Jordy, do you think the number of GameStop stores has increased or decreased or stayed the same since Ryan Cohen's tenure?

What do you think? Back of the envelope. I mean, I would assume that it's, decreased, but because you're asking me, I would, maybe... You're going increase. Block it in. Final answer. I'm going decrease.

You're going decrease. Okay. What are you going? What are you going? I got to take the other side. I'm going increase now. Okay. So, uh, 2021, January 30, 2021. Yeah.

They were at, uh, 4,800. Worldwide. Okay. Uh, this, this past January, they were at 2,200. Okay. Yeah. Yeah. I thought you were asking me if, I thought you were trying to trick.

No, I wasn't trying to trick you. I was just trying to get you to lock in a random guess. Right. It's such a savage operative. He Vax store count in a retail apocalypse. No, clearly he made it much more, much more, you know, efficient and everything. And the chat's really helping here. Massive decrease, obviously, everyone knows.

As Elon said, your questions are meant to trick me. Yeah. Anyway. Well, speaking of retail, McDonald's. What's going on? What's going on? This is fake. There's so much fake news in the timeline.

I saw a funny debunk of there was someone on Instagram who was reacting to goats, a video of goats on mountains and was like making fun of the goats on the mountains. And then there was someone debunking that saying that that's AI goats. But goats do in fact climb mountains. And so you could do the same funny video, but you should have used the National Geographic video. Every post requires like a deep dive on like, is this real. But maybe maybe the future with all that XAI capacity, they can just do grok is this real on every post before it goes out. generate the community note before I even had sent. If I'm posting fake news, just let everybody know.

Community note, singularity. Well, folks, thank you for tuning in today. Thank you for tuning in. It's been an honor. We are at a conference tomorrow and Thursday. We'll be back Friday, but we might have some special reporting from the field. We have a lot more planned, and we will, of course, be posting plenty over this week. Thank you for tuning in.

We will see you on Friday. Have a good week. Goodbye. Love you. Leave us five stars on Apple Podcasts and Spotify. Sign for our newsletter, tbPN.com. Goodbye.