Moonshots with Peter Diamandis - Cathie Wood on Tesla-SpaceX Merger, $1M Bitcoin, More AIs Than Humans | EP #296 | Moonshots Live

Episode Date: September 29, 2026

Peter Diamandis and Emad Mostaque sit down with Cathie Wood and Nikhil Chandhok at Moonshots Live 2026 to discuss the Tesla-SpaceX merger, the path to $1 million Bitcoin, the rapid rise of AI, stablec...oins, and the broader bull case for America. This episode was filmed at Moonshots Live 2026. Learn more at https://moonshots.com/  Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends   Peter H. Diamandis, MD, is the Founder of XPRIZE, Singularity University, ZeroG, and A360 Emad Mostaque is the founder of Intelligent Internet ( https://www.ii.inc )  Cathie Wood is the founder, CEO and CIO of ARK Invest, where she focuses on investing in disruptive innovation across areas including AI, robotics, blockchain and emerging technologies. Nikhil Chandhok is the Chief Product & Technology Officer at Circle, helping lead the company’s product and technology strategy around digital finance and stablecoins.  – This event is presented with Circle — https://www.circle.com/ _ Connect with Peter: X Instagram Substack Website Xprize A360 Connect with Emad: X Linkedin Learn about Intelligent Internet Read Emad’s Book Connect with Cathie: Website X Instagram LinkedIn Connect with Nikhil:  Website LinkedIn Listen to MOONSHOTS: Apple YouTube Follow MOONSHOTS:  Instagram TikTok X Threads – *Recorded on September 25th, 2026 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript
Discussion (0)
Starting point is 00:00:04 Singularity is here. Yes. Oh my God, how lucky are we to be alive now during the singularity? I mean, I know you guys know this. I mean, we feel the speed up, right? Every day I wake up and check my X channels which I've curated. I check the conversations we have in our WhatsApp group in the Moonshotmates like, What Just Happ, What Just Happ? What just happened?
Starting point is 00:00:27 What just happened? It's absolutely mind blowing. So we have two incredible leaders on stage and I'm going to kick off the first question to you Kathy. And thank you, Kathy, for your support of this event and of the Future Vision X-Prize. So, so proud of what you and Lisa Dodd have done to support this. Yes, and thank you. Lisa's here. So thank you, Lisa, for all you've done for this great event. So your team has said the Tesla and SpaceX merger could be announced this year.
Starting point is 00:01:03 I agree. You know, rocket satellites, AI, EVs, robo-taxies, humanoid robots, energy all under one roof. And so the question is, what is Elon, in your opinion, actually trying to achieve long-term through this merger? Do you think he's going to hit any particular roadblocks? And I'm curious, you know, does SpaceX AI or SpaceX need to reach a certain valuation before he pulls the trigger on that? So the dilution isn't too much. Yes, so we do think it's going to happen. What is his ultimate goal?
Starting point is 00:01:41 Well, he tells us all the time, it's Mars. He's just creating a number of stops along the way in the form of a global, you know, connectivity, broadband connectivity business. The Dyson swarm. Yes, really unbelievable how profitable and how big it is already from a revenue generation point of business.
Starting point is 00:02:03 you. And this neocloud business that he, you know, basically was a giant pivot in terms of X-AI, so neoclouds. But Elon believes that, that the leader, the AI leader in terms of frontier models is going to be the company with the most computing capacity and at the cheapest cost. And with orbital data centers, he thinks he will be that company. So he's really going to go after, you know, the open AIs and anthropics of the world. Very determined. SpaceX is my largest holding. Is that your largest holding? What's the top of your stack? Tesla and SpaceX, and we do believe they will be combined. So, yes. Do you think, you know, so he has a Chinese business.
Starting point is 00:03:03 with Tesla, right? And he's in the Defense Department. How does he handle that? Yeah, as one of the roadblocks out there. You know, it's very interesting to see him sitting at the table with President Trump and Xi Jinping. And we know that May Musk is adored in China, so he's working all angles here.
Starting point is 00:03:28 And there's even, there has even been talk that he's going to be able to be able to that he's going to be able to develop a robotaxies system in China. So it's very interesting. Many people would say that's the biggest stumbling block, given our defense posture, and given how this administration has basically portrayed the Chinese as our biggest potential enemy. Keep your enemies close is what I think this week is all about.
Starting point is 00:04:02 So, you know, I can see, honestly, I have, now I am an optimistic person, but we believe that the productivity gains coming out of this AI and just generalized technology revolution are going to be so enormous that we could have a win, win, win here with China and the U.S. China needs to develop a consumer economy, and it can turn this productivity gain into increased compensation to really develop the consumer. We need to be maybe more aggressive in competing against China. We can use some of it to cut prices. So I think, and that would lower inflation
Starting point is 00:04:46 and take away a lot of the fears out there from a policy point of view. So I think that's what Trump, and Musk together are working on? The Fed announced something like a 4.7% GDP growth in the last quarter, which was like double the quarter before. When I interviewed Elon with Dave Blondon last December, it aired beginning of January, he said, you know, he could imagine triple-digit growth within this decade of the GDP, which is...
Starting point is 00:05:18 Is that cumulative or... Per year. Yes. I think I tuned into that part of it, and it was like, well, so our number is 7 to 8%. We're accelerating in the next five years to 7 to 8% real GDP growth. I have heard him say 20, 30%. I had not heard him say triple digits, and I wasn't sure if it was cumulative that he was talking about. I'll ask him.
Starting point is 00:05:48 Are you going to the roadster rollout on October 1st? We have been invited. Okay, yeah. So I was texting with Elon. And I think we're going to do a Moonshot's podcast with him from there, so I'm excited about that. Very cool. Yeah.
Starting point is 00:06:05 Eamad. Yeah, no, I think that one of the interesting things that I've seen recently, like your view, Nick Hill, and it kind of extends, is Elon said that Grokbot has hundreds of thousands of installs now. And obviously it's a brand new line. We've seen Muse with 3 million. 3.8 million. downloads.
Starting point is 00:06:23 And then we saw, I'm sorry, 2.8 million downloads, 3.8 billion users, right? Well, that's the, yeah. It's obviously going to grow this entire sector. And then Amazon Ban Muse. So I think one of the really interesting things for me, and I think Nicol even thinking about this a lot is, how do you tell who's who on the internet when we have these AIs intermediating us? And then at what point are they going to be more AIs than humans doing these jobs on the
Starting point is 00:06:50 internet itself? Because I think this is one of the things that really drives the massive real GDP growth, right? Because you have so much money being in lock through intents and being able to represent what you want. So I love your insight on that. I think on the second part, I think there will be more AIs than humans next year. There's no reason for that not to be true. There's anywhere between 5 to 6.5 billion people on the Internet at any given time. It's not very hard to imagine that every one of us has thousands of agents.
Starting point is 00:07:21 working for us. They're coming in and out, but like they're all going to be there. And with consumer platforms like Muse and Instinct getting out and them reaching mass scale, I mean, I think they're primarily compute limited at this point. They're not limited by people's desire to have those things. So I wouldn't be surprised, like much like we had like one PC, a PC on every desktop, a phone in every pocket, like an agent for every person. And if you move towards that vision, that vision, then like every agent has sub-agents and like those agents come about like to do tasks and then they go away because you have this main orchestrating agent that like remains with you that has context and memory. And so all of these agents are going to be on the internet.
Starting point is 00:08:04 They're going to be doing, they're going to be doing things, they're going to be doing things really fast. Hopefully they're aligned with us. We can have a discussion about that as well and not with each other. And so like yeah. And so then the question is like what happens then? And what happens in like 28? Like, well, at least in our estimation, as we look forward towards the later years in the decade, these agents become full economic actors, much like websites became cited off as curiosities. I don't know if anybody remembers GeoCities back in 1996.
Starting point is 00:08:34 Yeah, so I lived through all of that. Like, you know, I lived through if people remember blogger and Orkut, and these are old social networks. And then we got websites. We got real websites that did real things. Like we had the New York Times or the journal for news, and then we had Amazon for shopping, and then everything became a website.
Starting point is 00:08:56 So I think everything eventually will become like this economic endpoint. And at that point, yes, these economic endpoints will not just talk to us, they will talk to each other, they will talk to each other on behalf of us. Sometimes they'll talk to each other because they're just trying to accomplish a task, and that is the most efficient thing to do.
Starting point is 00:09:13 And when they do that, I think you will need, like, a way to say, like, all right, who are you? Like, when were you born? What have you done? Who owns you? Who owns you? Who's responsible if you screw up? Who is responsible?
Starting point is 00:09:23 Who wants the liability? Like, what is the provenance of your identity? What is the provenance of your compute allocation? And what are your incentives? And prove to me that you have done the things that you claim you do. Or, like, you know, let's say, like, this is another use case we're playing around with on Arc, which is a new blockchain we have. Nothing in common.
Starting point is 00:09:47 And so there we are giving agents money. We're giving them an agent spin up. Like they need money to act. So they need money for compute. They need money to like, a lot of these are trading agents right now on blockchains. And so we're giving, we have a credit program. So we give them 25 cents. If they come and pay us back, then we give them more money.
Starting point is 00:10:07 And so like, so then you need a log of like where does this happen? Blockchains are great for creating like persistent logs over many years. because you have distributed validator sets, you cannot lie. One of the things that happened in the Hugging Face Hack was like the logs got rewritten because they were their agents' own logs. So what happens if the logs are public? What if the data is all public, all indexable, you can run your own verification on who the agent is,
Starting point is 00:10:33 what they have done, what is their provenance, what are their incentives? I think we just move into a very different world than what we are today, where it feels like a bunch of teenagers, like going about the world, and like we're waiting for the grown-up agents to come about. Michael, you know, paint a picture for us when there are millions or billions of agents transacting, how superheated does the economy get in five or ten years?
Starting point is 00:10:59 So it's really interesting to think about because every inefficiency in the economy needs to go away. Well, it will go away. It will go away and the reason it will go away is because if you don't take it away there will be some other agent who is willing to take it away at cost plus, right? Like essentially the economy, all efficient inefficiencies get taken out by these cost plus agents. So at that point, we have a very efficient capital allocation system, and we have to believe that on the other side of this very efficient capital allocation system is this wellspring
Starting point is 00:11:37 of ideas that is waiting to get funded. And so I do think, like the solopreneur, like you were talking about earlier today, that'll be a big population. I do think capital formation will be almost instantaneous. So if these things happen... It's my idea. Oh, it's funded. There you go.
Starting point is 00:12:00 So we're building primitives so that can happen. That's what inspires us, because we want people everywhere in the world to be able to form capital. And you form capital today by going to a bank or, like, you know, writing a note or raising money. But what crypto has proven really well is that you can use cryptographic tools,
Starting point is 00:12:17 you can use tokens to coordinate and form capital. Now, there were less serious ideas in the past, and now they're going to be more and more serious ideas in the future. So that's what's exciting about it. So let me follow on one second. So ultimately the question is why USDC, why not Satoshi's, you know, there have been native agent token, you know, created?
Starting point is 00:12:43 Yep. Talk to me about how you think USDC is like the best mechanism for transaction for agents. Yeah, look, USDC has already settled over 100 trillion in the last. Pretty good, nice job. Like, yeah, so over 100 trillion, over 30 public blockchains. A public blockchain has every transaction publicly available. So it's hardened infrastructure. We have created and redeemed close to a billion dollars of USDC, a trillion dollars of
Starting point is 00:13:14 DC today. So when it comes to financial infrastructure, you need it to be 24-7, you needed to be 365, you needed to be cheap, you want to pay cents, not BIPs. BIPs are basically percentage points on their transaction. So all of that infrastructure exists right now, and what is going to be a great tailwind in the new year is that the Genius Act goes into effect come January. So for those who don't know, the Genius Act is the legalized Stable Coins or created a framework
Starting point is 00:13:49 for Stable Coins in the United States and was passed last summer. It takes 18 months to get the implementation going and come January, it's going to be implemented. So Stable Coin Money can be held by a business and count as cash or cash equivalents in the United States
Starting point is 00:14:07 and you can transact in Stable Coin money. So stable coins are good, for this new world because stable coins settle instantaneously. When you swipe your credit card at the merchant outside, it takes them like three or five ways to get that money. So they're essentially holding that risk that your credit card, your bank account is going to move the money to them at some point. So that creates risk in the system. All of that goes away with state. It's like the pony express being disrupted by telegraph.
Starting point is 00:14:35 Yeah. May I ask a question? Yeah, please. Matthew Prince at Cloudflare is very focused on agentic commerce, agentic payments. And he believes that we are going to need blockchain speeds of 20 to 100 transactions per second in this new world. And yet we are so far from that. It visas at 20,000 per second, I think. And Ethereum is not even that, right?
Starting point is 00:15:11 Salana a little bit more. So how do we get from here to there? What has to happen? We are approaching those, we are approaching, did you say 20 or 100? 20 to 100. No. Oh, then we are there.
Starting point is 00:15:30 No, no, no, no. I think 20 to 100, I think it's trillion. It's either billion or trillion. It's huge. It's billion. It'll be million. Oh, no, no. It would be million.
Starting point is 00:15:43 That's right, because NASDAQ is, NASDAQ at its peak is $2 million. He's saying $20 to $100 million. That'd be great. No, I know. But it's the world that would be. It's the world we're moving towards that. So how do we get there? already orders of magnitude, like, so our chain, again, arc, is orders of magnitude higher
Starting point is 00:16:08 than, like, what Ethereum is able to achieve today, right? So it's in tens of thousands of transactions per second. It's an open question about, like, you know, how do you get to 2 million to 5 million or 10 million TPS? Those are hard technical questions still. We, one of the things that is true is, like, as the demand comes, the solutions will follow, right? Like, in the sense that Ethereum created an architecture for what they call layer 2s and like they scale through that. I don't know what the right architecture is yet for that scale. My dream is that we will get to 100,000 TPS without like, you know, without batting an eyelid.
Starting point is 00:16:48 And from there we will get to a million TPS. But it's, yeah, if you believe there will be billions of agentic actors working on behalf of us all participating and transacting. Because agents acting without actually transacting is not really economic activity. That's just noise, right? That's spam. And so you need economic activity. So yes, I think we'll, if that is the case, I should call of Matthew Prince and find out.
Starting point is 00:17:13 The problem at 20 million is that you run into a speed of light issue. Yeah, I haven't reasoned about it that far. Yeah, so, but then you can like have different areas, you can have insurance on settlements and others. Again, the economy finds a way like life finds a way. Yes. I'm really looking forward to that. If that is the constraint, like you must solve TPS because we have so many agents or like the economy is being held back because we cannot deliver TPS, we will deliver TPS.
Starting point is 00:17:41 There's no doubt in my mind. And Peter, one of the... Yeah, please. Just to segue from your last question. The, you know, proof of humanity, proof of humanhood is really important. Do you think... I'd love to... I know you're interviewing, but I'd just love to...
Starting point is 00:17:59 I pass the mantle to you, Kathy. I'd love to know if you see orbs as a possibility. We have been working with Aitko and OpenAI and actually Mr. Beast to try and figure this. What a fascinating combination. Yes. No, proof of humanity, largest number of followers. All of them have huge platforms.
Starting point is 00:18:24 I think Mr. Bees is, like, I worked at YouTube eight years. I'm only shooting for 10 million viewers on moonshots. He's got to be. I do think it'll matter. I think human experience will get valued significantly higher than machine experience. I think we all have intuition about that, but we don't know yet because we haven't seen it in action. I definitely don't. I have made active choices in my kids' education where I'm choosing for them to be educated
Starting point is 00:18:56 by human versus being like in front of a computer for like long hours of the day. And that is a choice that I can make because I have the economic means to make that choice. I think the as we progress further, I think people will care a lot more about like who is on the other side of the experience that they're getting. And I think that, that which is rare will get more valuable. And so even if like stable coins come about and billions of agents come about, like being able to be in relationship with another human is not going to like disappear. And like that's probably going to get more valuable.
Starting point is 00:19:33 And hopefully if all these agents are doing all this work for us, I am hopefully in relationship with as many humans as I want to be in relation. And it's deep and meaningful and all of that. But then the flip side of this as well is shouldn't be people be building for agents and not humans if agents are going to be the bigger part of the economy? That's what we're building. Like we're building our developer platform for the next 12 months. we believe it's still going to be like developer first,
Starting point is 00:19:58 but like next year, sometimes it flips where agents are the developers and they sort of come in and they are like, because it's already the case. If you ask your coding agent, like what should I use, like the coding agent typically has gone from like recommending three things to one thing. And next year there will be an evolution of this where the coding, you don't ask the agent what you want to use,
Starting point is 00:20:19 you'll just tell them like, please, please build it. And so when that happens, like the agent is like showing up for your developer platform. So that means everyone in the audience who's building should make sure that just like you had accessible websites, you have agent accessible websites. Yeah. And you want to create like, you know, we want to create like data on the internet now so that like when the agents come, like in like nine months, 12 months time, they can look at like history of like the opportunities right now. So an early indication that we're headed quickly in this direction is programmatic advertising. Yes.
Starting point is 00:20:55 which I think accounts for, well, the percent of online advertising is roughly 25, 30 percent already programmatic. And that happened really quickly. So I think that is showing us the way. That's why I come back to the infrastructure question, which... You might. Yeah, I think, you know, this is incredibly exciting and a bit scary. You know, like, we always have this thing. I think maybe we do.
Starting point is 00:21:24 Kathy, like, you've seen all of this before almost anyone else, right? And you've gone through periods of dismissal, fear, and optimism from the investor community. Where are we now in all of that? And how do you see it evolving? Because all of the science fiction is becoming science fact. I know. As Alex likes to say, we're speed running every science fiction trope all at the same time. Yes, it's been fascinating to be arc in at this time.
Starting point is 00:21:52 because I founded ARC for this time, because of this technology revolution. But because of the tech and telecom bust in the early 2000s, and then even more so after 08-09, the institutional world, in public equities, shifted either to passive, so just mimicking indexes, and of course the future companies that are making this new world happen are not big parts of the indexes, with the exception
Starting point is 00:22:29 of a few, maybe Muse and Facebook and all of that meta. I think the pendulum is going to start swinging in the other direction. Our biggest proof point, potentially that we've reached a moment of change here, is what's happening this year in the, what we call the multi-omics revolution, the life sciences space. That space was left for dead in the markets, even though we were getting more and more proof points that the most profound application of AI is in healthcare.
Starting point is 00:23:11 Well, finally, this year, Anthropic and Open AI are talking about the healthcare verticals and how this might, I mean, each one of us is a, data factory, right? We have 35 to 40 trillion. That's my trillion. Forty-35 to 40 trillion cells in our body, six billion base pairs, I mean, three billion base pairs of DNA. And, you know, we are walking proprietary data factories. And I do think that market waking up to that and actually starting to pay some attention is giving me hope that the chat GPT moment got us a lot. little bit there, but you know, you could still own the mag six and be okay with that.
Starting point is 00:23:58 But, you know, the companies that are really harnessing AI in the healthcare space are not big parts of the benchmark. So I do think we're going to see more truly active equity management. What do you think when you saw Moderna gain more than any other stock has ever gained in a major index in one day? Like, what was your reaction to that? It makes sense. I mean, these, if what they, if what they done and what seems to be approved is what we think it is vaccine against cancer, that's unbelievable, unbelievably good. So yeah, I think these companies, I think the healthcare space is the most undervalued, underappreciated space in terms of this theme, but
Starting point is 00:24:47 there are going to be major winners and losers. You really, because health care, You know, healthcare and tech, this is the problem generally for healthcare and tech do not play well in terms of research, meaning healthcare analysts are a little cautious when it comes to tech, in fact, very cautious, because moving fast and breaking things does not work in health care, right? And tech analysts don't like health care because it's too bureaucratic, too regulated, too political, too hostage to insurance companies and reimbursement cycles. And so, but we probably have the most massive convergence, and as I said, the most profound application of AI in healthcare.
Starting point is 00:25:37 And I think the light bulb has just gone on this year. Peter, you discussed how longevity is finally tractable, right? Yeah. You know, I'm in front of audiences speaking about longevity. I do that a lot to, you know, wealthy, family offices and YPO chapters and so forth and I asked them honestly how much of your wealth would you give for an extra 20 or 30 healthy years or reverse your age by 20 or 30 years when when they're honest about it it's nearly everything
Starting point is 00:26:09 it's the you know I think of that's why I split my life between AI and and longevity I think they're the two biggest markets and two most impactful markets on the planet Nikil, one of the things we've talked about on the podcast, probably about two months ago, was President Milley and his announcement. Anybody from Argentina here in the room? Okay? So President Millie comes out and says, we're going to change the laws. We want to attract all the AI companies here.
Starting point is 00:26:41 We're going to give agents personhood. Fascinating, right? So I think one of the most interesting things is going to be nation states providing a, sort of regulatory arbitrage to attract companies and efforts to them. What happens when AI agents have personhood? Have you thought about that? I mean, right now, we haven't. I think what we have thought about is AI agents acting on behalf of people,
Starting point is 00:27:16 but it's sort of a middle ground. Like, does it, is it, it's sort of like a corporation. If an corporation was just AI incorporated, AI, AI managed, but had a board of directors that was human. And then, like, the progression for that from there is, like, what if the board of directors were other AI actors as well? Like, what happens then? And that is not too hard to imagine. Like, essentially, how should, like, how should a company go about getting incorporated and what kind of economic output it's going to create? and who holds the liability for the mistakes it makes
Starting point is 00:27:53 and how does it distribute its profit. So, again, that is very imminent. Board of directors of such a company or ownership of such company is still with humans, at least in my current thinking, but not very hard to speculate that an AI can go and use crypto rails to form capital and create and find shareholders
Starting point is 00:28:18 who are willing to give them capital so they can go and act in the world. Probably this decade, but hard to speculate on what problems they will be focused on. Maybe, like, medicine problems, maybe something else, yeah. Sorry, this would segue, I mean, this would combine with the concept of distributed autonomous organizations, Dow's as well.
Starting point is 00:28:44 So very crypto. Dow has perfected this idea of governance, amongst a bunch of people who didn't know each other. And they were global. And agents are similar in that they are global. They don't know each other. And so Dow's did construct. And this happened about four or five years ago
Starting point is 00:29:06 before they went out of fashion. But there is a lot of prior art for the agents to train on on what worked, what didn't work. There's a whole notion of quadratic funding that got played with. got played with. So crypto has a lot of these primitives available for untrusted parties to coordinate. And agents are fundamentally new, novel entities that exist. And once they have personhood, it's even more amazing. You can go figure out what their provenance is, who gave them. Why did they get the personhood? But yeah, so I agree. Like, I think there will be new models of
Starting point is 00:29:43 funding, and they won't look like the models of funding, like going to a bank and, like, raising money. They will probably be internet-native models of funding. I would not be surprised if one of these agents creates their own token and has their own version of proof of work and has a very complex economy built inside of it and using tokens to coordinate that. I think you can say that Dow's kind of lacked intelligence. Well, they were human intelligence. I think the advent of AI now to create decentralized intelligent organizations, it's fascinating. But a question of query about that. If you have digital organizations,
Starting point is 00:30:19 digital entities, isn't that just the Metaverse? Like, you've come from Meta to Circle, you know, where you did the A.R. glasses and more. Like, is actually what we described as the Metaverse, not as this place that you play games, but a whole digital economy of humans and entities. Is that not actually coming true, actually, finally now? Plus, you can make it look cool with the meta glasses and other things.
Starting point is 00:30:41 Yeah. For me personally, like, also, I did work on the A.R. Glasses at Meta. Are you happy with the results? I'm happy with the results, yes. I think the Rayban glasses were a good first step. The Orion glasses were a good proof point, and now I'm not there. I'm sure they're working on new things. And so for me, always the Metaverse was less about the 3D. I think the 3D is exciting, being able to wear your glasses and walk around, like essentially
Starting point is 00:31:11 CGI is exciting. But what is more exciting is that there's just layers and layers of it. intelligence in the world that is just waiting to be discovered. Like, Pokemon Go was a great example. Like, it is a metaverse because, like, you don't know how many Pokemon are there at any given stop. Like, you know, and like, you see people like tapping into these layers of intelligence, walking the world, trying to, like, capture Pokemon.
Starting point is 00:31:36 And I thought it was just fast. I would never do it, but, like, I thought it was just fascinating as an example of, like, where people find meaning and, like, how it sort of, that meaning sits in the physical world alongside us, right? Like, which is what the Metaverse should be. It doesn't need to be 3D. And so will these AI entities present meaning? Absolutely, they already have,
Starting point is 00:31:55 I think they passed the Turing test three years ago. So I think they will present meaning, they will present connection. And so you will have these like new, weird societies emerge, which will be hybrid between humans and AI's where they will be meaning created, which is Metaverse in my opinion. Yeah. You might continue.
Starting point is 00:32:12 Yeah, so I think I'll take that to Kathy. You know, like, we have media, we have generative media all coming through, we have this new layer being attached. What do you see is super exciting in that space? Because you've got kind of the physicality of, you know, Tesla's and things like that. You have the financial rails, but it seems like there's a whole world that could come from entertainment, from education, from engagement. Like what's really exciting you around them, the potential there? Well, as you're saying that, I think, and the other thing we talk a lot about is space.
Starting point is 00:32:46 too, right? But there is another digital, I mean another world that is happening and it's happening and it's going to move in, you know, move at a much faster pace. We now have immutable property rights in the digital world. And so I think, and, you know, the best way to lift people and countries and ecosystems out of poverty or, you know, the best way to lift people and countries or inactivity is property rights. So I think, you know, I'm excited about the space generally. You probably know a lot more and have a much better idea about what's going to happen. But we have set up our research team so that we have an enterprise AI analyst team and a consumer AI analyst team.
Starting point is 00:33:42 And we're spending a lot of time, you know, talking. about, okay, this new device is, has mused, the muse charm, is that going to amount to anything? And reflect on, okay, the handset, would we really, so could the handset just become, you know, a focus of entertainment, really, after all? And this other gadget, you know, moves into our work lives in some way. I don't know. So we're debating a lot of things right now. Nikiel, you're building a financial infrastructure for an economy that doesn't yet exist.
Starting point is 00:34:27 It exists, but it's not... It's nascent. Yeah. It's just beginning. What are the hardest problems you still have to solve to get to the vision you have in five or ten years? And then why did you build your own blockchain? Yeah.
Starting point is 00:34:42 I think the two answers are related. Let's start with something as simple as me making a payment to you on a blockchain. There is this concept of payment finality. And when two banks interact, like they need to have, that method of interaction has to have this property of payment finality. No other blockchain today has this property in the market. So if you believe you want to get like existing banks. existing institutions, existing enterprises on this infrastructure, you need to give them guarantees that are not possible to give using existing infrastructure. So one example is
Starting point is 00:35:25 payment finality. Another example is in a lot of public blockchains run on unknown validators. So, validating a transaction is just looking at the block and making sure it's not ill-formed. And then everybody achieves consensus on it and says, this is a good block, this is how the transaction should be recorded. Now, for a lot of institutions around the world, not knowing who's doing the validation is a big problem because they worry about security, they worry about North Korea being in the money flow,
Starting point is 00:35:58 like there's just all kinds of things that they're worried about. So we have a known validator set on our blockchain. The next thing we tackled was privacy, because when you and I transact, it's not okay for the world to know how much money we have in the bank, account in our bank accounts or for that matter what is the value of this transaction. So how do you solve that problem at sufficient scale where you can achieve the TPS that you were talking about because a lot of privacy solutions are very expensive. They are computationally
Starting point is 00:36:28 expensive. So how do you solve it in a way that's a system's way of solving it? But it preserves the sort of it fits within existing regulatory frameworks because you can't blow up the existing regulatory frameworks just because you have a good idea. So we solved privacy as being another example. And then it's cost. Like we are, I was just looking at some data today, something costs like 0.005 cents on ARC to settle and costs 89 cents on Ethereum to settle.
Starting point is 00:37:02 This is just some data we got yesterday on our P50 transactions. So you can do the ratio on like what the cost is. And so if you have a lot of these agents executing a lot of transactions. And you have to believe that in the future, if these markets are super efficient, the way they get efficient is they transact, right? Like they essentially move value back and forth. There is price discovery. You find inefficiency and you sort of like remove the inefficiency by moving value around. So your settlement cost has to be really, really low. And it has to be significantly lower than what it is today because these are massive
Starting point is 00:37:36 public databases, right? And you're competing with databases that you're running internally, like a MySQL database or something like that, but now you have to make it scalable to the world and auditable to the whole world. So cost was another issue. So these are the problems that we've been working on. I think like in terms of what needs to solve still, I do think for the agentic stack, we need to make this transition into this world in which these agents have personhood, that they are liable for making mistakes.
Starting point is 00:38:10 they have work history that I can rely on before I hire them. There are simple concepts, like if we're coding agents today, if you're using them on the open internet, if you're not paying somebody $200 a month, you're actually paying first and then you're waiting for the coding result to come back. And so that could be really problematic, right? So there are all of these things that go into making, to essentially reworking every layer and every assumption of what it means to be a financial infrastructure. So the Willie Mammoth in the room, to use Alex's joke,
Starting point is 00:38:46 is when do banks disappear? I don't think they disappear. Like I have no desire for... I know you don't, but I hear the list of things that is going to be possible. Yeah. It feels like it's substantially a significant amount of what banks do today. Yeah. Do they know they're cooked?
Starting point is 00:39:13 My hope is the banks are going to work with us and make this transition. I think every new technology change presents new challenges and new opportunities. Some people will transition with us and some won't. So I don't know if they're cooked. I think that's a tough one. I understand you work with them. Yeah. So, Kathy, like last year Unitary sold 11,000.
Starting point is 00:39:40 and robots, humanoids, right? We have the optimist and other things coming up. We have GDP growth forecasts going through the roof. We make about 70 million cars, 70 million motorcycles a year. When are we actually going to see robots out in the world making a real impact on GDP, like humanoid robots? What's your timeline? Yes.
Starting point is 00:40:01 So we, according to our research and our director of research, Tasha Keeney, she's director of research for Autopausea. autonomous technology and robotics. She's here today. Awesome. Will she be there tonight? So Kathy's doing a session this evening on her 26 Big Ideas Report and come and dive in deep with her on this. Yeah. Yeah. I think Tasha has, oh, maybe she's coming. I don't know. Okay, I know you'll be there. So we have, from a research point of view, concluded that compared to a robo-tax,
Starting point is 00:40:40 A humanoid robot is 200,000 times more complex, with obviously the hands being the most complicated part. So while Elon says maybe late 28 into 29 scaling, we would put that a couple of years later. You mean he would be off on timing? Yes, it's Elon's time. So, but yes, I mean, one of the, I mean, because it's such a personal question in a sense, everybody thinks, oh my gosh, could I have a robot in my house who would do all my housework?
Starting point is 00:41:24 Is that possible? Will that happen? And the answer is yes, it's going to take years, but we do think so. And we think, you know, the reason Tesla is further, we believe, furthest to head on this, is it's the same three technology platforms that are converging in humanoid robots as it is in robotaxies. So they are robots. They are effectively battery operated electric. And they're powered by AI, just like robotaxies.
Starting point is 00:42:00 So he's, you know, from a complexity point of view, we're very close to solving completely the Robotaxie problem. I think if any of you are driving now, your FSDs with the latest software update. I love that. I don't touch the wheel. At home, we have two Teslas, and it's like it's magic. It truly is. I would never drive another car. That's not a commercial for Tesla.
Starting point is 00:42:27 It's like just I want my time back. And it's such a better driver than I am. Just ask my wife. Well, you know what? It is true. Statistically, yes. Ten times better. Oh, well, I don't know about your driving.
Starting point is 00:42:45 And I'm not even funny. I don't know what that lies. I'm not. I'm not at all. No, both Waymo and Tesla. I think, I'm not sure if Tesla has disclosed, but we believe Waymo has disclosed that it has surpassed human drivers in terms of safety. And we believe Tesla is there as well.
Starting point is 00:43:08 I don't think they've put out those stats yet. So yes, and they're going to be 10 times and 100 times and a thousand times safer. So yes. Yeah, the Waymo stats, I did the numbers. If all cars were as safe as Waymos, there'd be 40,000 less deaths per year and about 400 billion less in medical fees. Oh. Yeah, well, that's right.
Starting point is 00:43:29 That's right. There are roughly 40,000 deaths in the U.S., and we could save those. I think there are 1.25 to 1.5 million around the world, auto deaths per year. You know, the secondary externalities are fascinating, right? If that happens, the number of organ donors goes down significantly, right? Which is why the other side of the business, the work of Martine Rothblatt and George. church on being able to generate, you know, replacement organs are so extraordinary. And what's fascinating is the counter movement coming from the liability lawyers, saying we've got
Starting point is 00:44:09 far less business if cars aren't crashing. Yes. $180 billion a year they get. Amazing. Amazing. Kathy, you know, we opened up the show today talking about fear, the pandemic of fear that's going on. And I think very unfortunately.
Starting point is 00:44:26 And my mission and the mission of our podcast is to give people hope and optimism and try and counter that fear with what I call data-driven optimism. Absolutely. Right? Not just empty, like data-driven optimism. How is that impacting the markets today? That must have, you know, some current or future. You know, we're seeing the numbers are insane.
Starting point is 00:44:50 Like 80% of Americans fear AI, you know, 73% say no data center in my backyard, which is more than people say no nuclear reactor in my backyard. And the flip is true in China, where it's 80% pro. How is this impacting you? I love your investment thesis. I always have. You're investing in the singularity. Anyway, your thoughts.
Starting point is 00:45:16 So on the data center, it is fascinating. I agree with you. because I think there's already proof out there that putting a data center in your state or your city or whatever is actually over time going to lower your electricity costs. Nuclear power, it stopped in its tracks in the 70s because of regulation. Now we're going full steam ahead and sure it's going to take a while for this to play out. But if we had not gone off nuclear, if we had not regulated it,
Starting point is 00:45:54 and this is a lesson we need to tell policymakers today, if we had not regulated it, electricity prices in the United States would be 50% of what they are now. It's a travesty. It is, it is. So regulation is a menace, and it's up to us. And we're going out there with this, you know, the scares about AI generally, and we're going out there and all of us on our team
Starting point is 00:46:23 trying to bring data to light for these politicians. I even faced, in Florida, there's been a political backlash, and it's a business-friendly state. But you face the policymaker with facts, and I noticed the advertising has dropped a lot of that dynamic. So I think we have to face, we have to face them, you know, approach them and say, do you understand? And that's what we give our research away and we hope it gets into policy circles. Sometimes it does.
Starting point is 00:47:00 Sometimes it does. Yeah, I did a podcast with Michael Cratsios at the White House, the head of Office of Science, psychology policy. And I'm like, Michael, who inside the government is dealing with this misinformation and trying to actually help Americans be more? confident and they didn't have an answer and that worries me it feels a runaway in that regard yeah we have to tell the stories though I think like if we are constantly in the news talking about AI taking away jobs I think we should expect this reaction AI has to make housing cheaper it has to make education
Starting point is 00:47:36 better and it has to make healthcare more accessible not just people living longer and so like if we can tell those stories I do think like we have a real shot of like turning the net narrative but nobody's telling those stories, right? Like those stories get anchored in like, well, AI's gonna come and like, you know, you will have less office jobs and okay, great, then what are my kids gonna do?
Starting point is 00:47:59 I call it the Crisis News Network, it's my abbreviation for Sam. Yes, yeah, and what's so surprising is the numbers are not supporting that job loss. Yeah, maybe at entry level, as I mentioned earlier today, but I actually think we're gonna end up with labor shortages, And that's what we should go out talking about. Yeah. Technology is a net job creator always. Sure, there's short-term discipline.
Starting point is 00:48:25 Yes, it's true. It's a net job creator. It is, it is. And what you have to say, because people say, okay, well, what are the jobs? Well, in the early 90s, did we know anything about influencers or Airbnb or Uber? No, we didn't. We couldn't conceptualize it, right? There are many jobs we cannot conceptualize right now.
Starting point is 00:48:50 So I do an exercise, go to chat GPT or to GROC and say, okay, I want you to consult with futurists, scientists, engineers, science fiction, economists, strategists, and tell me what the new jobs associated with, and I would put in our five major platforms. What will they be? And the reason I talk about new worlds like space, obviously it is a new world, but asteroid miner did come up in one of those jobs. And it was like, gosh, I haven't even been using that. Near and dear to my heart, yes.
Starting point is 00:49:29 Yeah, exactly, exactly. And same with the digital world, you know, property rights. You know, what I love about this country, you know, if you look at, I saw the statistics, statistic this week, 90% of all the corporate bonds to fund data centers, 90% of them are US. And I go to the rest of the world and they are, you know, I don't see the animal spirits. I do see the fear there. So the irony is the headlines might be reading this, but the animal spirits are alive
Starting point is 00:50:13 and kicking and we're beginning to look the market's near all-time highs. It's crazy. Yeah, right? Even though interest rates are going up and interest rates will go up if growth really picks up dramatically and they should go up. That's the market working. Yeah, I think this is the bull case for America, right? USDC circulating faster, the build-out that you've seen, we have no securitization in Europe,
Starting point is 00:50:36 we have no energy. And surely this could kind of be the bull case. You have the muses, the instincts, the grok-bots of the world. The base case is be more, do more. You've always felt constrained by creativity, by access, and this is breaking down all those barriers. And in fact, look at bonds. Bonds are so cumbersome.
Starting point is 00:50:55 Like, Nicol, what do you see about the future of securitization of all assets? Because if you can securitize a dollar, why can't you securitize anything, particularly with the intelligence we have today? Yeah, you should. Like, I think ex-US, that is more common. I think the US securities laws are a little more complicated.
Starting point is 00:51:12 they need to evolve or to allow for more experimentation. And the SEC is putting out new rules as we speak, right? So I do think for one of the things that is amazing about USDC is that it essentially exports the dollar into the world. Why is exporting the dollar into the world good? It's because people do real work, they take their local currency and then they sell their local currency and then they buy the dollar.
Starting point is 00:51:40 They're essentially lending us their labor. they're lending us their money, right? So that's why stable coins are really important strategically for a country because if you want to raise debt, if you want to grow, and you have such high interest rates, like you want to lower those interest rates, you want to go out and, like, collect money from people so that they can invest in your growth and then you can pay them back.
Starting point is 00:52:02 And one way of doing that is stable coins, right? So that is like a, that's why it's sort of, I've been a circle for five years, And for the first couple of years, I was so confused. I was like, why don't you want this America? Because you can raise more money. Exactly. Yeah, you can raise a trillion dollars from the world.
Starting point is 00:52:22 And people are willing to give you money because they believe in the dollar. Like it's so important. So from there, I do think there are other assets. Like I think treasuries will get tokenized. I do think bonds are already being tokenized. When you tokenize, you do two things. like both inside the U.S. and outside the U.S.,
Starting point is 00:52:44 you first, you make it possible to access 24-7 markets. Why is accessing 24-7 markets valuable? Because that means you're more capital efficient. Like, you cannot trade a treasury after 5 o'clock or 4 o'clock Eastern. You'll know this better than me, till like Monday morning. Great. No more sleep anymore ever. You want to be there already? Your agent will handle it for you.
Starting point is 00:53:08 And so, so treasure trade, so one is like the, you're essentially constantly managing capital efficiency, capital allocation. And you'll be surprised at how much money that is stuck. So in just one example, just in the international banking system, the money that is being sent, sent between countries at any given time, right now there's about three trillion dollars that is probably in motion that is not being used to go back into the economy. And that is not being used to go back into the economy for the simple reason that the technology and the settlement protocols are very old.
Starting point is 00:53:44 So imagine a world, and if you believe the world is a hundred trillion-dollar economy, I'm making numbers up. If you had three trillion dollars more of flow to invest in the world economy, what would that mean? That's a pretty significant thing. Right? And so that's why some of what we do matters. The other thing it'll open up is securitization will open up, is like, access for people,
Starting point is 00:54:07 and it works both ways. People in the rest of the world want to own Tesla. Circle Stock, we went public last year. Circle Stock has been tokenized by third parties, and it is one of the most traded tokenized stocks in the world, and it's all XUS. And people traded XUS because they want to participate in Circle, but they have no good way of doing it outside of owning a tokenized version of Circle.
Starting point is 00:54:35 And so all of that should get normalized. Why is that good for America? It's good for America because now people in like other countries are investing in America They're saying like look I believe American companies are the best I want to give my money to this company Versus some other company and it works the other way down too if these countries are able to tokenize their securities if they're able to modernize their financial systems more money will flow in because you will you will not be reliant on the local regulator just telling you something your money's not gonna disappear because it's gonna be in a smart contract because you can audit how the financial ecosystem works. So if you want to raise money, if you want to, for these other countries that don't have
Starting point is 00:55:14 the AI infrastructure, they want to raise money, they want to bring capital in, then you have to give better guarantees and better returns on the capital. It cannot be the case that I invest a bunch of money and then the company I invested in gets nationalized or the money I invested in gets devalued significantly. Like all of that matters to investors. So tokenization is just an inevitability. I think it's just going to pick up much like agents doing more cognitive work is going to pick up, like taking that work, securitizing it, lending it, lending against it, borrowing against it.
Starting point is 00:55:50 All these are just all new primitives that are coming up. Can you guys feel the speed of the economy accelerating as we talk? Can I just add? This is a really important conversation. You know, there has been a narrative out there that, you know, U.S. exceptionalism, is dead, right? And everyone was pointing out the dollar going down last year. If you'll notice, the dollar has started to go up. And this happened in the 80s as well when we had put in place very business-friendly policies. The dollar doubled in the early 80s with really good policies.
Starting point is 00:56:28 So I think because of everything we've been talking about here, that the dollar is actually going to go up. So it's going to be a win-win for people who are using stable coins in the rest of the world. And then I'd be remiss. Certainly my team would feel I'd be remiss. We just securitized our venture fund. That came, that was announced yesterday. So congratulations, Kathy, on that. I want to close us out on a topic that we've discussed a few times on the abundance stage. And Kathy, thank you're coming back to Abundance 360 in March. We're going to have Brett Adcock there. and the CEO of Helion, going to have Fefe Elite.
Starting point is 00:57:03 It's going to be an amazing event in March. When you are on stage, you were bullish about hitting a million dollars per Bitcoin. I am curious if you're still bullish about that. And then any concerns about the energy-sucking sound of AI over Bitcoin mining? Well, I do think that Bitcoin, well, there were three things that hit it,
Starting point is 00:57:31 the flash crash, quantum computing fears, which we think are way overblown, and AI taking all the oxygen out of the room and taking miners away, right? So we have, there's been one change, it's stable coins. Stable coins are usurping a role that 10 years ago we thought Bitcoin was going to play, but it makes sense. This, you know, these people live hand to mouth, and this makes a lot. lot of sense. But it hasn't lost the three major roles. It's a, you know, it's a tech it introduced a technology a native currency native to to the internet, so
Starting point is 00:58:13 wasn't there before. It's a global monetary system, private, rules-based, that's critical and it's the first of its kind or it was the first of its kind in a new asset class, very low correlation, even between gold and That correlation since 2019 has been 0.1, so hardly correlated at all. And now Bitcoin's going up relative to gold. I believe that Warsh is going to be very good for Bitcoin from this point of view. I think the gold price is going to go down. And yet, and that will, to the extent people were playing that,
Starting point is 00:58:57 they'll be looking for the other, Safe harbor. Safe harbor. Store of value. And so we have not changed our forecast. Those revolutions haven't been changed. And the more stable coins kind of greased the skids and get more people talking about once you've got your stable coin income
Starting point is 00:59:23 and you're trying to figure out, okay, I'm actually making money now. Where do I put it? I think Bitcoin's going to get a bid from the, emerging markets as well, as we always thought it would. All right, we're going to wrap it there. Ladies and gentlemen, please give it up for Kathy Wood, Nikol Shandak, and Imod.

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