Big Technology Podcast - The Anthropic Rocketship, AI’s Spending Limits, SpaceX IPO

Episode Date: January 31, 2026

Financial Times San Francisco Bureau Chief Stephen Morris joins for our weekly discussion of the latest tech news. We cover: 1) Anthropic's $20 billion fundraising round 2) OpenAI is looking at $100 ...billion in funding 3) Amazon alone might put $50 billion in OpenAI 4) When does the money run out? 5) The rise of Clawdbot/Moltbot 6) Meta and Microsoft beat on earnings but go in separate directions 7) The market has no idea what to do with the AI trade 8) Apple's historic quarter 9) Amazon lays off 16,000 10) SpaceX IPO in June? 11) Why a SpaceX and xAI merger could make sense --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here’s 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Questions? Feedback? Write to: bigtechnologypodcast@gmail.com Learn more about your ad choices. Visit megaphone.fm/adchoices

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Starting point is 00:00:00 This episode is brought to you by Qualcomm. Qualcomm is bringing intelligent computing everywhere. At every technological inflection point, Qualcomm has been a trusted partner helping the world tackle its most important challenges. Qualcomm's leading edge AI, high performance, low-power computing, and unrivaled connectivity solutions have the power to build new ecosystems, transform industries, and improve the way we all experience the world. Can AI's most valuable use be in the industrial setting? I've been thinking about this question more and more after visiting IFS's Industrial X Unleashed event in New York City and getting a chance to speak with IFS CEO Mark Muffett. To give a clear example, Mufford told me that IFS is sending Boston Dynamics spot robots out for inspection,
Starting point is 00:00:47 bringing that data back to the IFS Nerve Center, which then, with the assistance of large language models, can assign the right technician to examine areas that need attending. It's a fascinating frontier of the technology, And I'm thankful to my partners at IFS for opening my eyes to it. To learn more, go to IFS.com. That's IFS.com. Anthropic looks unstoppable as a $10 billion funding round turns into 20. Big Tech earnings are in and there's no margin for error.
Starting point is 00:01:16 And SpaceX has an IPO date and is maybe acquiring XAI too. That's coming up on a Big Technology Podcast Friday edition right after this. Welcome to Big Technology Podcast Friday edition where we break down the news in our traditional cool-headed and nuanced format. We have a great show for you today. We're going to talk about the numbers getting even bigger for Anthropic and OpenAI as they attempt to raise their latest funding rounds. We're also going to look at big tech earnings and ask whether there's any room for error anymore,
Starting point is 00:01:46 especially with Microsoft, having one of its worst days in years. And then as we close, we'll talk about SpaceX and whether that IPO is going to come this year and whether it will include XAI. It's going to be a great show. and joining us today is San Francisco Bureau Chief of the Financial Times, Stephen, Stephen, great to see you again. Welcome. Yeah, great to be back on. Thank you. Okay, so let's start with the big tech. Not the big tech. Let's start with the AI Labs.
Starting point is 00:02:13 Last week, we talked about how Open AI was in the middle of this historic fundraise, and whether there would still be money left or how much money could they could possibly raise after this. Well, news showed up that Anthropic is actually also on the fundraising path. it's like these companies are always fundraising, and they were actually going out for a $10 billion round, and then they ended up raising or doubling that round to $20 billion. Here's the financial time story. Anthropic is set to raise about $20 billion from venture capitalists
Starting point is 00:02:44 and other investors doubled the amount it had targeted and a sign of surging investor enthusiasm for the high-profile AI startup. The fundraising deal, which is close to being finalized, would value the company at $350 billion. So little less than half than Open AI, but Anthropic is clearly having a moment. So I'd love to hear your perspective, especially since the FT has done the reporting year, about just how intense the interest has been in Anthropic and why you think that's the case. Well, as you say, like Dario Amadei, his sister, the whole company, they're really having a moment in AI.
Starting point is 00:03:19 You know, people have always been very loyal to Claude. You know, they've liked its style, but it's had multiple hit products coming out of this AI research style. not least claw code, clawed workspace. And as a result, we're really seeing a huge amount of demand from investors of all stripes all around the world to be associated with this company. As you mentioned, we put out a story this week that they've doubled their latest funding round. They initially went out to raise 10 billion.
Starting point is 00:03:46 They're actually going to raise around 20 and they had demand for five to six times that amount, which is a crazy amount of money, right? money right because it's just one of multiple AI startups in Silicon Valley raising at the moment not least xAI and open AI as well um and I think what this proves like 350 billion valuation is of course above Elon Musk's xAI at 250 but as you said like far below the rumored 750 billion valuation of open AI but it really shows that they're able to keep pace at least in fundraising and and compete on compute um with their their slightly larger peers. And we're in a situation now where people want to be associated with the name. Like when we're reporting out these stories, we're finding it quite easy to add extra names
Starting point is 00:04:33 to the list of VC and sovereign wealth fund backers. And interestingly as well, we're even seeing companies that are initially bet on their rivals like Microsoft and Nvidia putting money into Anthropic as well. Now, that's partly, you know, through self-interest, you know, they're big customers. But it's also because I think these big tech companies, At least when I speak to them, they think it's good for the ecosystem. You don't just want to have one, two or three companies, you know, Elon Musk, Google, and Ope and I taking it all. Having Anthropic is a very good buffer, you know, for the whole sector and the whole world.
Starting point is 00:05:08 Now, Dario, when he goes and gives his public talks, he likes to say, he always says this, that Anthropic went from a million, what, no, 10 million to 100 million in revenue. No, they went from, sorry, 100 million to a billion, and a billion. and a billion last year to 10 billion. So they've 10xed their revenue year after year. Do you think, I mean, how, thinking through the exponential, do you think that they could do that again? I mean, I think they got close to 10 billion last year.
Starting point is 00:05:37 They didn't quite 10x, but they got close. Do you think they could get in the range of 100 billion? Because as these numbers get bigger, the task to 10x becomes harder. It's not like an easy thing to do. They're certainly on the right track to get there. You know, they've got a lot of interest. They've embedded themselves in both very big corporations, but they also have like a dedicated
Starting point is 00:06:01 fans in like the developer community and like individuals. So if you think about the revenues of some of the big tech companies now, you know, Google's not far off generating that much net profit in, you know, half of that in a quarter, right? So if you believe that Open AI and Anthropic are the next, you know, the next members of the Magnificent Seven or the magnificent nine, there's no reason where they can't get to 100 billion in annual revenue. Now, of course, what has to happen for them to be viable companies long term is that their costs have to come down. Because remember, these startups don't actually make any money at the
Starting point is 00:06:34 moment. And if they are going to go for IPOs this year or next, you know, and they're hiring advisors, bankers and lawyers to do so, eventually, you know, the whole of their balance sheet will be laid bare and people will be able to take a better look under the hood and determine whether that they're viable long-term businesses. But certainly Anthropic is going about things in the right way to secure its funding, like lock in more strategic partners long-term. So, yeah, I mean, I think it's feasible. But, you know, this is, remember, these companies
Starting point is 00:07:04 have really only been in the public sphere and have been in, have captured the imagination for two years. So we just don't really have that much data to see the trajectory of this. Right. And when you say they don't make any money, they're just not making profit. Like these companies are losing a lot of way. Oh, they make money. they generate revenue.
Starting point is 00:07:21 What they don't have is earnings. Correct. And one more thing that really struck me about this story. I mean, of course, we know that, like, as you mentioned, Claude Code, are really driving, you know, at least the conversation that these investors pay attention to, nuts, which is really the conversation on X, right? And the question is, like, who would you sort of rope in because of that buzz?
Starting point is 00:07:46 And you would think that if you have such an oversubscribes, rounds is like the traditional Twitter VCs that would come in. But it's not. I mean, maybe it's some of that. But the thing that really struck me is that it looks like Microsoft and Nvidia, this is according to your story, have committed to invest a total of up to 15 billion in the company. You know, that's not Google. That's not Amazon. It's Microsoft and Nvidia. To me, that's, you know, people usually, when they talk about the open AI universe, they talk about three companies. They talk about Microsoft, they talk about Nvidia, and they talk
Starting point is 00:08:22 about Oracle. And now Anthropics seems like it's attracted some of the biggest backers of Open AI, which is interesting because I think you'll remember that the rumor was in the latest funding round, Sam Altman was saying, if you invest in any of our competitors, you're not going to be
Starting point is 00:08:38 able to participate in future rounds. And now clearly, maybe Nvidia and Microsoft got a waiver, or maybe they don't need one because of their size, but the fact that they're going to come in with such power and back anthropic to me is remarkable. Yeah, it's extraordinary the way that the landscape has changed over the last 12 months. A story we wrote at the Financial Times about Sam Olman threatening to cut off investors
Starting point is 00:09:04 that invested in rivals actually ended up in a lawsuit that Elon Musk brought against the company for anti-competitive practices. Now, Sam Olman said that he didn't say he'll cut you out of the funding ground. He just said we won't share any advanced data on our financial. or give you our tech roadmap in case you share it with our rivals. But it looks like since Microsoft renegotiated its relationship with OpenAI, that all of this exclusivity is breaking down. Remember, Amazon and Google have had the longest standing cloud and investing partnerships with Anthropic.
Starting point is 00:09:36 They're now adding Microsoft Azure to that mix. They also do work with Oracle. So we're really seeing the whole sector like diversify and become more strongly intertwined, as the prevailing thought is now that these models aren't. all just going to commoditize and converge on the same thing, but they're going to specialize and they're going to be good for different things. And what Anthropic has really been able to show it is very good for developers and it's very good for enterprises. I mean, it's probably already lost the kind of consumer app battle to Open AI with Google making some small inroads in
Starting point is 00:10:08 that, but not really for a company of its size. But in San Francisco, I'm sure you hear it in the bubble chamber, you know, if you follow an account called Overheard San Francisco, there's a joke going around. It's like one person walking down the street says, oh, you know, Rome wasn't built in a day. And the other person shoots back and says, oh, well, they didn't have Claulk code. Yeah, no, it definitely shows up in the data because I have some data from Apptopia that I'm looking at right now. And in June 2025, so six, seven months ago, the average time spent on the, on the mobile app of Claude was about 10 minutes. Today, in January 26, it's above 3,000. 30 minutes. So time spent per user on Anthropics Claude has tripled in six months. And to me,
Starting point is 00:10:57 what's remarkable about that is it's the mobile app, right? And you would say, okay, maybe it's because these developers are spending all this time in, you know, Cloud Code. But that's, I think, often that's desktop. So the fact that there's, there's something going on, I've definitely seen, you know, I've had these moments where I've gone back and forth between chatbots, like running and I, we joke that we used to be Claudeheads. And then we became, I think we called it chat chaps, but I don't know if I think we need it. There's a nod to you to the British audience, but I think we need a better term. Isn't something you want to say too much.
Starting point is 00:11:37 But I'm saying that, like I've now gone back to Claude for a lot of my work-related uses. And I'm seeing these numbers and I'm not surprised. No, they're definitely capitalizing on their moment. And also, you know, Dario Amad, the founder, he's very visible, right? I'm not sure if you managed to read all 20,000 words of his essay that he put out last week. I think a best good use of Claude would be to put it in there and crunch it down a little bit into the most salient bullet points. But he's also asserted himself into kind of like the cultural, the social, the legislative moment here that we have for AI. being, obviously leading research at one of the top startups, but also warning about a potential
Starting point is 00:12:21 economic apocalypse, you know, and dangers from unleashing this technology, which he believes will become truly transformational in the next two years. So they kind of have that going for them as well. And we were both at Davos last week or the week before. And there was a lot of sniping going backwards and forwards between these different companies. I'm sure you picked it up. You had Demis Tarvis of Google saying, oh, well, you only need to look at what's coming out of these different AI labs. Look at what the ones run by scientists. And by this, he was actually on stage with Dario at the time. I thought Dario was the one that said that. Oh, my apologies. It was Dario that said that. And then Demos kind of agreed. And then they said, look at what's coming out of
Starting point is 00:13:03 these companies that are run by like VC and like social media people, like a not too veiled shot at meta and open AI. Later in the week, Demis couldn't resist. for Google couldn't resist having a shot at Sam Altman for putting apps in GPT. He said, well, if we're so close to AGI, money and the stock markets were all become a relevance in two years' time. So why do you even need adverts? So as the competition heats up for users and funding and kind of space in the public consciousness, so are the barbs flying backwards and forwards between these, you know, between these very, very wealthy but still very competitive people. Right. And so last week we talked a little bit of
Starting point is 00:13:42 about how Open AI was trying to raise 50 billion. And the headline there was that Sam Altman was in Saudi Arabia and some other Gulf states trying to raise that round. And I was basically raising my hands and being like, how many more times can they do this? And then eventually they have to go public. And then certainly the numbers are going to matter then, you would imagine. Well, it turns out that $50 billion wasn't the ambition. It looks like it's actually much larger because we've gotten a bunch of news in the backhouse.
Starting point is 00:14:12 of this week that open AI is looking to raise much more than that i'll start with the wall street journal report then we'll move to the ft report because this uh came out you know shortly shortly before we're speaking um so here's this here's the headline uh it is amazon is in talks to invest up to 50 billion in open ai uh the chat chappi t maker is seeking up to 100 billion a new capital from investors around that could value it as much as at as much as 830 billion andy jassy amazon's chief is leading the negotiations with Open AI CEO, Sam Altman, the shape of the deal, should one be reached, could still change. By the way, so comment on two things for us, if you could. First of all, like it's a jaw-dropping moment, is it not that they're actually going to potentially raise this amount of money? I think the largest VC round in
Starting point is 00:15:03 history was a couple billion dollars up until a few years. Now we're looking at $100 billion random. And then talking again about the axes around these companies. Now, the sending things, thing, you know, Amazon has long been an anthropic partner. They have, you know, marched, march people around their, you know, their new facility that they've built with their training and chips, talking about how their, you know, deep partnership with Anthropic has been what's enabled them to build this data center. And now they're going to go and put, you know, an absurd amount of money into open AI. What are the implications? Well, as we're saying, the interconnections between the sector are becoming more.
Starting point is 00:15:42 more and more confused, intertwined. You know, nobody is, nobody is looking for exclusive agreements anymore. Microsoft is broken with Open AI. Amazon is seemingly on the break, seemingly about to break with, you know, it's pure backing of Anthropic. 50 billion is obviously an extraordinary amount of money. I don't think we can call it a venture capital round anymore when you have a company as large as Amazon committing for that.
Starting point is 00:16:05 And of course, as always with these figures, you know, such as the 500 billion Stargate project, which was announced this time last year by Oracle and Open AI, the devil will be in the detail. A lot of the way these deals are structured are actually very circular. You know, they will be in the form of compute credits. So the money that Amazon is putting into OpenAA will come back for using their AWS data center services. And it'll be interesting to see how when the details come out of this fundraising,
Starting point is 00:16:32 which one imagines would be very soon, exactly what the terms of these contracts are. It's not just Amazon writing a huge change, check. Microsoft is going to put a few billion in, we hear, but you know, not too much more because obviously they already own 27% of the restructured company. Invita are putting more money in, but also SoftBank, the big Japanese conglomerate. They're talking about writing another $30 billion check. To finance this, they sold off a lot of their holdings of Nvidia. They've pulled out of a few other deals. So whilst Open AI must have, has lost a little bit of its momentum. It's lost a little bit of its sheen. You may be hearing a little bit more noise about Gemina. or noise about Claude, this funding round really shows that they are still able to compete, out-compete their rivals, at least their startup rivals, in fundraising. And if, you know, this is going to be a blunt force improvement of models by using more compute, Open AI is very much still out in the lead.
Starting point is 00:17:30 But it sets up a really interesting 2026 and 2027 because they're all hiring advisors. You know, one of the talk of Davos were bankers and lawyers buzzing around, trying to win lead roles on all of these deals, not just them, but also Elon Musk companies like SpaceX. And eventually, you're right, these pots of money will be tapped out. Investors will hit concentration limits. Sovereign wealth funds might get cold feet. There could be another deep seek moment where everyone gets slightly panicked about, you know, closed models and the rate of development. But at the moment, it seems to be full steam ahead. But in 2027, I can't see the checks of these sizes being written again unless you go to the public markets and you start giving retail share your
Starting point is 00:18:12 retail shell holders and big institutional pension funds things like that access to try and finance the their colossal ambitions for like data center and inference yeah so i checked the largest IPO in history raised 30 billion dollars for saudi ira last week i said 40 billion uh it's actually 30 billion so the check from amazon alone maybe it's a check maybe it's a ws credits we don't know would almost double the size of that round. And so, I mean, so you think 2027 is where this ends because there's not, I just don't think there's enough money in the world. Is there to continue this cycle? There's, well, there's two sides to it, right? There's, there's a finite amount of private capital or institutional, institutional, I mean like, you know, big tech money that you can attract in.
Starting point is 00:18:58 But there's also a finite amount of money available on public markets. As you pointed out, the biggest IPO in history was Saudi Aramco, 29. something billion. in 2019. If you have Anthropic coming to market, you have value at 350 privately, you know, maybe optimistically double that on the public markets. You have SpaceX, which we'll talk about later, looking at a $1 to $1.5 trillion valuation. You have Open AI looking at over trillion as well. You can throw other companies like Databricks, snowflake, stripe, all of them might choose to come to market and list a portion. Is there enough money in the public markets around the world to absorb all of this. A banker I was speaking to, you know, a few weeks ago was like, I actually
Starting point is 00:19:41 don't think there is. So they can't really all go at the same time because they risk kind of like hamstringing each other and their ability to fundraise. So I think there does have to be like a certain cadence to this. And also if you talk to people inside open AI and anthropic, these are still very young companies. They're still sorting out their corporate governance structures. Open AI in particular has a number of like pretty severe looking outstanding lawsuits from from everything from Elon Musk trying to block their conversion away from a nonprofit to the New York Times suing them for like basically copyright theft. There's a lot to be ironed out before these companies can go on a roadshow, show some confident financials, and really persuade people that they are, you know, going to be the next, you know, Google and meta.
Starting point is 00:20:25 Yeah, and before we go, you know, I just want to talk about one application that's sort of, I would say, emblematic of the hype and maybe potential in the space. and it came up in our Discord this week. It's something that used to be called Claudebot. It had to change its name because Anthropic wrote them a letter. But here's the story. What is Cloudbot? And why is everybody so obsessed with it? It's an open source messaging first AI assistant that connect to chat apps.
Starting point is 00:20:49 Can connect to chat apps like WhatsApp, telegram, mess, I message, Slack Discord, etc. Remember context over time. Send proactive nudges and trigger automation on a machine where it runs. Think of Cloudbot as a personal AI gateway that you talk through you talk to through messaging. You text it like a colleague. It replies in the same thread.
Starting point is 00:21:08 Your phone and laptop and tablet all day stay in sync because the conversation lives in the messaging layer. Then the service connects with your computer and can go and use it and accomplish tasks for you. Things like fetching data, generating summaries, running routines, and automating repetitive work. People have gone absolutely nuts over Claudebot this past week. What is your thought on Cloudbot?
Starting point is 00:21:31 Is it real? and what do you think it says about the moment we're in? Well, it shows that a developer sat over in Austria in a very short period of time, vibe coding, can come up with a really interesting app that gains traction largely through word of mouth and through GitHub and can show that AI can be used. This was totally vibe coded.
Starting point is 00:21:55 This is what the person said. They didn't even check their code. They just put it out there, which is, I'm not letting it use my machine if it's just, if it hasn't, the code hasn't been checked. But the fact that it was vibe coded and is taking off like this is somewhat remarkable. Yeah. I mean, it just shows you that the field is really wide open for like the next killer app or use case for this. And, you know, whilst I think quite rightly all the AI labs are focusing on, you know,
Starting point is 00:22:18 consumer users who are, most of whom are just using this as a replacement for Google search at the moment, right? But also the power users are using it to code. But the real money, like the stickiness is getting these big, multi-year 10 to 100 million dollar contracts with, you know, existing public companies, you know, to go in there and like replace a lot of the SaaS software that they already have in there from like workday or Salesforce. That's like the biggest prize at the moment. But that doesn't really capture the imagination, right, of anyone but an investor looking for like better AIR. If you, if you're just an ordinary person on the street, you're probably more interested in the video
Starting point is 00:22:54 generation capabilities and then suddenly Claudebot or actually, what's it called, MaltMotbot now? the strongly worded message from Anthropic clearly had its effect. You know, that can come in and like suddenly send messages and people are willing to take a gamble on it, even though it might have slightly janky code. I just think it's really interesting that, you know, these things can come out of nowhere. And hopefully, hopefully for the guy, it'll work out and, you know, he'll gain some traction rather than just kind of disappearing or be copied by the more major labs. But it's fun, right?
Starting point is 00:23:26 It just shows you wouldn't really understand that the contours of this new technology yet. Yeah, people are definitely having a field day talking about it. And the memes are really interesting. I think they're telling this one person on ex-Cadvenjou said, gave Claudebot access to my portfolio. He said, trade this to $1 million. Don't make any mistakes. 25 strategies, 3,000 reports, 12 new algorithms.
Starting point is 00:23:50 It scanned every ex post, charted every technical, traded 24-7. It lost everything. But boy, it was beautiful. Chimot Faliapitia, I spent 15 minutes on Claudeau. about it and save me 15% on my car insurance. There's a little guy co-joke. This other person said, I set up Claudebot to text my wife good morning and good night every day. Also casual, how are you messages during the workday? 24 hours, it was having full on conversations without
Starting point is 00:24:15 me even being involved. This is absolutely insane tech. I haven't talked to my wife for at least two days and she seems happier than ever. I mean, I think that these memes are telling in that there is a, It's a very interesting moment. There is a desire among people to trust these applications with sometimes even more than they even know they should. And just play around with it, an experiment and have a bit of fun, you know. I don't think the big technology podcast is advising that anyone outsource their relationship to a chatbot quite yet. But, you know, maybe. It might help some of you.
Starting point is 00:24:51 Yeah. It might help some people who have bad texting form. Yeah, but, you know, if it can automate those little annoying parts of your day, you know, that you, that just like, especially for those of us with like kids and busy jobs, you know, those, those precious, those minutes saved can be very precious. Exactly. Well, another very interesting thing happened this week, and I want to get into that in depth, which is that Microsoft and META both beat earning expectations. They beat on profit and they beat on revenue. Meta's stock shut up, double digits, and Microsoft's stock shut up, double digits, and Microsoft's. dropped double digits. And I think it is very telling in what it says about the state of technology
Starting point is 00:25:30 today. So we will talk about that when we come back right after this. The scorebed app here with trusted stats in real-time sports news. Yeah, hey, who should I take in the Boston game? Well, statistically speaking. Nah, no more statistically speaking. I want hot takes. I want knee-jerk reactions. That's not really what I do. Is that because you don't have any knees or The score bet Trusted sports content seamless sports betting
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Starting point is 00:26:08 For travel and dining means you not only satisfy your travel bug but your taste buds too That's the powerful backing of Amex Conditions apply And we're back here on big technology podcast with Stephen Moore's, the San Francisco Bureau Chief at the Financial
Starting point is 00:26:25 Times. Stephen, you couldn't have come on on a better week, to be honest, because we're in the thick of big tech earnings. And, you know, while these earnings are typically like a good opportunity to check in on profit and laws among these companies, we actually have like a pretty interesting story developing. So as I mentioned before the break, Meta had record sales. It jumped 10%.
Starting point is 00:26:47 Microsoft also beat on revenue and profitability, and it dropped. The market crushed it. I think it's down 11% on Thursday, which is when we're recording. Yes, we're recording Friday edition on Thursday today. But I think it still works. Anyway, the thing about the thing that caused Microsoft to drop, people are saying, is that Azure revenue didn't grow as fast as they expected. There was some expectation that Azure revenue would grow something like 40%.
Starting point is 00:27:17 it's only growing 37 or 38%. Both Microsoft and Meta's capital expenditures are going to go up. Meadows went from like a predicted like $110 billion on the year to something like close to 135 at the top range. I think this is notable because it just shows that there's so little room for error in this world that if you get, you know, if you get anything wrong, the market will interpret that you're going to have some serious problems when it comes to AI. What do you think?
Starting point is 00:27:54 Yeah, I mean, it's every quarter of the earnings that come out from these big tech companies, it's sort of a lottery. Like you look at the numbers initially and you're like, wow, those are big beats on revenue, big beats on profit. Like we're seeing a 39% growth in Azure and a huge increase in bookings. And yet the shares plunge. Microsoft gets absolutely killed in the market. And there are always games played by Wall Street, right?
Starting point is 00:28:18 People don't just want to see you beat the analyst estimates. They want to see you beat the beat, right? And so Microsoft has found itself in this very strange situation where a one percentage point miss in its ASIO revenue momentum causes, it wipes hundreds of billions off its share price. And then people are also, there are also several other things going on at Microsoft. There are some very interesting things disclosed about Open AI, but also it's capex.
Starting point is 00:28:46 Microsoft is on track to spend $140 billion this fiscal year, which their fiscal year is a bit weird. It runs from to June instead of to December. And that's pretty much with on track with what they spent in the last quarter of last year, which was, you know, 37 billion. But people are questioning this. This is 66% more than they spent in the same period the year before. These are vast jumps.
Starting point is 00:29:09 And then the other thing that caught people's eye was they had to disclose their relationship with Open AI. a slightly different way now that Open AI's restructures as a for-profit company from a non-profit. And they revealed that they booked a 10 billion cash gain from the amount of cash open AI has on its balance sheet due to all these like huge fundraisings that they're doing. But they also said that 45% of their future as your contracts were based on Open AI. So immediately on the earnings school, all the analysts are like, I was about to say holy S there, but I should say, oh my God, you know, 45% of your revenue is tied to open AI.
Starting point is 00:29:46 Remember, this is a company, as you said before, it makes a lot of revenue, but it doesn't make that, it doesn't make any profit. That's for a company the size and age of Microsoft to be that reliant on a single customer is a big red flag, a single customer that has a lot of noise around it and increasingly has competition from Google and Elon Musk and Anthropic. So the CFO spent most of the calls trying to say, oh, well, you know, maybe 45% of it is open AI, but that means that 55% isn't, And that's still 350 billion in revenue.
Starting point is 00:30:13 But as you can see, the shares were down 7% at that point. When I woke up this morning, they were down 11%. So I don't think Amy Hood, the CFO of Microsoft, did a very good job persuading everybody. But it plays back into what we were saying before about this diversification. Like Microsoft has spent a long time locking open AI down to lots of exclusive contracts with it, both through its technology and to be its main compute provider. It's then spent the last 18 months trying to get out of those.
Starting point is 00:30:38 And that's why it's investing in Anthropic. That's why it's investing. People miss this. It's investing a lot of mistral, the French AI house, because it believes that Europe is not going to let its AI be run entirely by a bunch of West Coast tech companies in Elon Musk. So Microsoft is now all about the diversification. Before it was taking credit for turning a 14 billion investment into open AI into whatever the hell that will be worth, many multiples more when the company goes public. Now it doesn't want to talk about open AI. It wants to talk about anthropic. It wants to talk about mistral. It wants to talk about its own models and its own chips. And I think that's a new story that is trying to tell the market, which is why we saw a shares got hit. And then, as you said, meta is this whole other story. This is my perspective here.
Starting point is 00:31:20 I think we're just so early on in the AI game that the market is looking for any signal for where this is going. And it's like, oh, like, it's a little bit of a slowdown and growth. Microsoft's going to lose the AI game. Meanwhile, we're so early in the buildout, we have no idea what's going to happen. We have no idea what's going to happen with meta-superintelligence based off of this quarter's revenue. so it's all extrapolation based off of limited data. Exactly. And you look at the short-term quarterly reaction to the quarterly earnings, right?
Starting point is 00:31:48 They're down 5%. Remember two quarters ago we were talking about how META had 200 plus billion white print's valuation in a matter of minutes. Now we're talking about how it had 300 billion added in a matter of minutes. But if you look at the long-term trajectory of all of these tech stocks, it's like this. You know, Google is now worth more than 4 trillion. and Microsoft is, you know, lost its, actually, Google has bolted it, it's leapfrogged it in the kind of market cap race. Microsoft is still 3.6 and we've got Nvidia way out ahead of everyone at 5 trillion.
Starting point is 00:32:19 The general trend is still upwards, but we just have this skittishness in the market as anyone's looking for any signs of weakening demand, the bubble, you know, contracting or even popping. But if it was just about spending, meta double is going to double this year. it's capex, so like spending on data centers and chips and servers and everything that goes into supporting that, upgrading power structure. It's going to double it to 135 billion, you know, from 72 billion the year before. And that's not all that Zuckerberg is spending on over there. He's also spending hundreds of millions on compensation packages to try and attract staff, you know, from other leading AI labs to try and rebuild their own Lama model, which of course felt fallen badly behind has been a huge embarrassment for them to this point. But meta was crucially
Starting point is 00:33:04 able to show that AI is improving their ad targeting and their ad revenue. And their counterparties love this, you know, whether it's on Instagram, WhatsApp, threads, Facebook. And so the market rewarded that. They're like, okay, you're going to double CAPX, but you're actually also showing us like some tangible impacts from on AI improving your advertising revenue. Because that's what matter is. It's just a big advertising business. Microsoft hasn't done that. You know, Microsoft has made a great early bet on Open AI, but it hasn't proven that it's like office suite of products. It had been meaningfully improved by integrating AI. And if they can meaningfully improve it, that means that they can charge more for it than they can increase their margins.
Starting point is 00:33:46 That's the big game now for Microsoft. Because it's a software business and a data center business. And I think the former has quite a lot of question marks about how it's integrating the various models into it. But here's my big point. I don't think we can read anything into what's happening already. I mean, we're still in the build-out phase. We're still in the Picks and shovel phase. We're not anywhere near the point where economic activity tied to AI is exceeding the amount of money being spent on infrastructure. Yes, meta has done some things with like, you know, generative, like generative AI being used for creative optimization. Yes, they've done some things on using, you know, standard machine learning to better optimize their platforms. But
Starting point is 00:34:27 there's no way that what Meta is doing today will have any bearing on whether its AI program succeeds because that's all about this personal intelligence thing. And so, you know, and Microsoft too, like we'll see what happens with Microsoft. But, you know, there, you know, it seems to me like all the jockeying has been, like you mentioned, so much of their revenue is going to be coming from open AI, not end users who are deploying, you know, AI solutions. And so I think the market is like blindfolded right now, swinging around, trying to be like who's winning AI, who's not. Whereas, like, we won't know even, you know, who is leading for a couple of years. Yeah. And who is leading or having a good moment is anthropic at the moment. It could be Google again
Starting point is 00:35:15 next. Maybe Open AI knocks the lights, you know, blows the lights out with like an incredible new model with, you know, something that really captures, captures the public imagination or is indispensable to, you know, Fortune 500 companies. Everything is so fluid and flexible. That's why, it's so much fun to cover as journalists, right? But it's also pretty exhausting as well. And we haven't even gotten to Elon Musk yet. Oh, yeah, that's coming, Ben. And I did hear that GPT6 might be coming in the second quarter this year.
Starting point is 00:35:42 So maybe as soon as, you know, this spring, which would be interesting. All right, one more company to touch on with earnings and then we can get into, oh, shoot, we have so much to discuss. Let's talk about Apple quickly and then the Amazon layoffs if we have a moment and then we'll get into Elon. So first of all, Apple. My operation has been that Apple's going to have the best year. you know, of its history, maybe, you know, in the past and going forward because it's in this
Starting point is 00:36:04 moment where, like, there's no AI device and it's selling like crazy. I'll just give one note from your story about Apple's earnings. By the way, blowout earnings. They did it. They beat on revenue. They beat on earnings. The iPhone revenue grew 23% to 85.85.8.85.3 billion compared with the prior year. I think the estimation was it was going to grow something like 14, no, 16%. No, 14%. It grew 23%. This is a company that's been struggling to post double digital iPhone growth for a long time. To me, it just seems that Apple is kind of in the driver's seat in 2026. No AI device, no killer AI consumer app yet, but the iPhone is selling like hotcakes. What do you think? Well, the next iPhone was supposed to be the first AI-enabled one.
Starting point is 00:36:57 Siri was going to be overhauled. It was going to become your de facto like personal assistant. And that just didn't happen. I mean, I'm sure you've spoken about this on the podcast multiple times before. But what we have seen is the iPhone 17 was a blockbuster product. You know, it drove a huge upgrade cycle. I'm really interestingly in China as well, which, you know, shows the tightrope that CEO Tim Cook has been walking. between Trump and China, you know, he's still on it, you know, despite claims to the contrary.
Starting point is 00:37:29 Conspiracy theorists say that the new OS update liquid glass performs so badly on the 14 backwards. And I have one of those and I can verify that, yeah, it's pretty janky. I love that conspiracy. That's amazing. Could be. You make an operating system that's so complicated to run, the old iPhones feel slow and annoying. so you upgrade in order to, you know, for it to look slightly nicer. But, you know, after all these reports that, you know, Apple had lost, you know, the iPhone market in China, it had bungled the AI opportunity. I mean, this quarter did answer a lot of those questions, right?
Starting point is 00:38:09 People are still buying the iPhone above almost any other device. Geopolitics haven't disrupted its supply chains. It hasn't, you know, enjoyed sort of like, or hasn't suffered from a de facto bad. in China because of the because of the trade war that's been going on. And, you know, they're not spending the hundreds of billions that their rivals are on building data centers and investing or investing in startups or building models. They've just signed a deal with Google Gemini, much like their search deal to make Gemini improve Siri. So they're kind of outsourcing a lot of this AI stuff. And they're just focusing on being the main device through which most people will
Starting point is 00:38:46 experience it. And, you know, maybe long, long term. over the next 10 to 20 years, that'll be a bad bet. But certainly in the short term, they're saving a lot of money and still selling a lot of phones. Yeah, they seem like they're going to be in good shape for a while. And you're right. I think it is a long-term liability. But it's going to look really nice in the short term as all the spending happens. And Apple just kind of sits there.
Starting point is 00:39:07 Partners sells a ton of phones. You know, maybe it ships another bad design and then makes more people upgrade. They have the phone coming this year. I really think that this is, this could be the, the year of Apple preceding the last decade. That's my opinion, at least. And they bought a very secretive Israeli startup today where the technology analyzes microchanges in facial expressions, which they sort of say means you can communicate without
Starting point is 00:39:38 talking. But I do think it shows that Apple is, as Meta and Google are as well, looking very closely at like wearables, but in particular, like glasses. I guess another big tail risk for Apple is this Johnny Ive design new device, screenless device that OpenAI is helping finance, which we hear is a big part of the reason why Apple decided to go with Google Gemini instead of OpenAI and chat GPT to Power Siri because you're like, okay, pixel's not really a competitor to the iPhone. It's proved that over a number of years now, but whatever this new Johnny Ive devices could potentially be quite threatening. So there's a lot of moving parts. But Apple still looks pretty healthy. I mean, I don't have an iPhone 17 myself, but I did go to a Halloween party down in Palo Alto. And the house I went to is next door to Steve Jobs' wife. And she hosts an absolutely enormous Halloween party that.
Starting point is 00:40:40 We're talking animatronics, like dozens of actors, people come from miles around to see it. The queue goes around the block, so I chose not to take my daughters into it. it. But I realized if you stood in that queue for an hour at the end, they were giving everyone a bright orange Halloween themed iPhone 17. So maybe I don't think she was she was giving them away, right? So those probably don't count towards the sales figures. But, you know, people were absolutely delighted by this device. And I can testify that looks pretty cool. All right. I got to go to her party next time. That sounds amazing. I'm going to say, first of all, an interesting thing, speaking of, you know, we talked a little bit at the beginning of,
Starting point is 00:41:17 Anthropic having a moment here. Actually, Apple wanted to go with Anthropic first. And they wanted to use Claude. This is according to Mark Herman said it this week. Turns out Anthropic, you know, was basically trying to chart and a lot of money. And then they eventually went with Plan B, which was Google. So that's an interesting wrinkle. I have to tell you, I don't think the device is going to threaten Apple at all.
Starting point is 00:41:39 At least for the next couple of years, I really think that these AI devices are going to be a big letdown in the near term. Another humane pin. I mean, you know, it's funny. We joke about the humane pin. And we think, by the way, created by I think a couple of people who worked on the iPhone. And we think that, of course, Apple will come up with a much better idea than the humane pin, whereas maybe the interaction layer just sucked. And I think that's not taken into account as often as it should be. It didn't help that it also overheated and exploded.
Starting point is 00:42:12 Well, listen, I mean, you never really want that in your device. But, you know, we've seen companies get over that in the fast. Yeah, look, it was, everything that they could have done wrong, they did wrong. The product wasn't great. There were some issues with the safety side of things. And they gave, they rolled it out with this very weird, like, emo video. Yeah, that's right. Not exactly a great rollout, but also that's what I'm saying.
Starting point is 00:42:38 Like, you know, maybe all those things were the problem or maybe the form factor was the problem. And I think we're going to find out pretty soon what the answer is. All right, speaking of companies that try lots of different versions of products with AI inside, we have Amazon. And Amazon did not report earnings this week, but they are laying off 16,000 people this week, this is from Business Insider. Amazon started notifying impacted employees Wednesday morning as part of its plan to cut 16,000 corporate jobs. The head of HR, Beth Galetti at Amazon, wrote this, I have important but difficult news to share with you after a third. thorough review of our organization, our priorities, and what we need to focus on going forward. We've made the hard decision to eliminate some roles across Amazon.
Starting point is 00:43:23 Unfortunately, your role is being eliminated as part of the changes, and your employment will end after a notification period. She also wrote basically, like, I know that there's some indication that there's a new rhythm, or some of you might think there's a new rhythm where we announce broad reductions every few months. Because I think what is this, the fourth mass layoff that they've had over two years? And she said, that's not our plan. Amazon is a company that's, like, already operating with somewhat paranoid employees.
Starting point is 00:43:50 So this isn't going to make things much better. What's your main takeaway about the workforce reduction here? And do you think it's a good or a bad sign for the company? There are two things, I think, that's going on. One is they hired a lot of people during the pandemic, you know, when delivery surged. And they really needed, they needed to surge in their own workforce to cope with this. And I think we're seeing a correction on some of that now as your online commerce, you know, normalizes somewhat. But we're also seeing is a company, which, you know, 50 billion going into open AI plus a lot more into Anthropic.
Starting point is 00:44:28 I think this is a company preparing for an era of AI, whether that's, you know, both in its white, white collar jobs, but also blue collar jobs like working in the factories. I mean, it's already one of the most automated companies in the world. And if nothing else, Amazon is relentlessly focused on the bottom line. Any way it can cut costs in particular permanently, it will try and do so. So it's a very uncomfortable situation for you to be if you are an Amazon employee. So, of course, working at Amazon is uncomfortable by design, right? They want to keep you right on the edge to make sure that you're constantly as productive and aggressive as you can be. But what we're seeing here, I think, is a company that's getting ready for what it believes to be,
Starting point is 00:45:09 completely different era of e-commerce, but also working in factories and producing some of the, running and producing some of the technology behind its various websites. It just doesn't think it's going to need as many people in the future. I know the HR chief is trying to calm everyone down by saying this is not the new normal, but I would be very surprised as if this is, if this is the last mass layoff as Amazon we see in the next 12 months. So one more question about this. Do you think this is, AI related, as in do you think AI is like automating Amazon employees jobs? Or do you think this is a financial decision that might make room for some of the AI investment? I think it's a little bit of both. I mean, it always is. They talked about thinning out layers of bureaucracy as every company
Starting point is 00:45:57 does when they make cuts. But I also think that they're seeing some of the employees that have been able to integrate AI into their daily work life and become more productive. I think they're kind of looking ahead at that. We don't have the exact demographic data of who they've let go, but I think it'll probably be more heavily weighted into the older employees that are maybe less able or less willing to adapt to this new AI powered way of working. And certainly if you look, we get Amazon results next week, but there's no slowdown and momentum of the company's growth. So without, even though they've been taking all these employees out of the company, you see a short-term hit because you have to pay all of them severance, but longer term, your cost-based
Starting point is 00:46:38 comes down dramatically. Yeah, Amazon has this has a number of leadership principles that the company runs by. And one of them is called invent and simplify. And what do you think that means is like you sort of put technological solutions into place and simplify processes. And gendered may I sort of puts that on overdrive where like you can just simplify, you know, invent and simplify your own job. And that has sort of been a calling card and something that Amazon employees have been proud of for a long time as they invent, they simplify, and they go and they move on to something else. And I don't, I wonder if that leadership principle will maintain the prominence that it's had within that organization and the support it's at among the employee base. If they realize that at the end of
Starting point is 00:47:22 simplify, it can be leave. It has to be invent, simplify, and then invent again. If it's invent, simplify and leave, then that spirit of invention and efficiency within the company could really suffer. Yeah, that's true. I mean, if it's innovate yourself out of a job, it's a, it's a difficult thing to get your head around. Yeah. And that used to be something they used to be proud of because they would get another job. But when that doesn't, when that security isn't there, that's a problem. Okay, let's talk about. Well, that's sort of what Dario, Darmaday was talking about in his 20,000 word opus the other day. You know, we're going to see he predicts at least a lot of job losses, you know, as fewer people are able to do so much more work or even,
Starting point is 00:48:04 are completely automated out of the process once they really start to get agentic, you know, agentic AI powered like co-workers, you know, working to a degree that they don't constantly have to be checked. Okay, very briefly, let's talk about SpaceX. Looks like an IPO is coming pretty soon. People are thinking it's going to be in June, which will coincide with Elon Musk's birthday and some planetary alignment, where on June 8th and 9th Jupiter and Venus, this is going again to the Financial Times, thanks for the great reporting this week,
Starting point is 00:48:38 Jupiter and Venus will be within little more than one degree of each other in the sky about the width of a thumb held at arm's length. Your thoughts? I mean, it's just another day in the Elon Musk Inc, isn't it? You know, reporting on this man is fascinating, but also extremely difficult because you often can't tell whether he's joking or not. But he has gone out there, told investors that he thinks an IPO in June would fall. on an auspicious state. As you said, the conjunction of Mercury, sorry, Jupiter and Venus, which is then on the 8th to 9th, which is then joined again by Mercury in a few days later. His birthday is obviously in that month. 20th of June is a Sunday, though. So of course, you can't hold an IPO when markets
Starting point is 00:49:22 are closed on a Sunday. But he's thrown out this idea. He likes to light a fire under people. Everyone's saying you can't do an IPO in particular of the scale on that time, you know, in that time frame, but, you know, Musk's first principles, right? You question everything, and you force people to just work hard and get it done. There are other things, so you've got to take it with a pinch of salt. You know, this has been a big story in Europe, at least, over the last few weeks. He got into a bit of an online spat with Ryanair, which is like a budget European airline over them refusing. They're notoriously cheap. Like, you have to pay for everything if you don't want to sit on the wing.
Starting point is 00:50:01 And they were refusing to put Starlink on the planes. And obviously, Elon wants Starlink on the planes because it earns more money and they were arguing about drag. So he threatened to buy the company, fired the CEO, a guy called Michael O'Leary. He's quite a big figure in the UK and replace him with somebody called Ryan. This is how, of course, the Twitter acquisition started,
Starting point is 00:50:20 him threatening to buy it as a joke. So you never know where it ends up. But, you know, we're hearing the June timeline, despite the planetary alignment angle is a real thing. But then just today, you get all these other stories coming out that he might have ambitions to merge it with one or more of his other companies. And that very well could be the case.
Starting point is 00:50:40 I mean, we haven't heard anything solitaire about it yet, but those are the rumors out there. Yeah, I think the rule with Ryanair is in the jurisdiction that it's in an American or a non-European cannot be the owners. So that sort of ideas out the window. I'm sure it's not beyond Elon to set up a European subsidiary staff it with one of his people and buy it that way. Rules are made to be broken for Elon.
Starting point is 00:51:03 That could happen. The company that you referenced that, people have been talking about, yeah, SpaceX merging with is, is XAI, which would be really interesting. I think not a great combination, if you ask me, especially, you know, SpaceX is highly regulated.
Starting point is 00:51:22 It's a government contractor. XAI recently was, you know, bikinifying people on, on Twitter. I don't think that's, I think that's some sort of risk there. But I am, so, so actually, I am curious to hear your perspective. What is the sort of most logical reason for why those two companies would combine? The most logical reason is that SpaceX, one of the reasons that have been given, you know, privately to investors for wanting to IPO SpaceX is that it needs to raise money so that it can develop and build data centers in space.
Starting point is 00:51:57 They argue that it's very cold when you're facing away from the sun, so you don't need to pay for cooling. He already has a network by he, I mean Elon Musk, a network of 9,000 Starlinked satellites all linked and coordinated by lasers. So you've got kind of like the communications infrastructure out there. And you have unlimited solar energy, not affected, you're not affected by the atmosphere. So I know it sounds like crazy sci-fi stuff, but this is what SpaceX has constantly been based around. I don't think anyone thought the largest rocket in the world would be the booster stage would be cool. by giant mechanical arms just a few years ago, but he's proven that that was a technological challenge
Starting point is 00:52:32 that was surmountable. So the argument is you put them together at XAI, obviously you build the models X, which of course was another must company, but which was merged, I think last March with XAI. That's the distribution that GROC goes out under. And that's how Musk is gonna win in AI. Like his models might not be as good,
Starting point is 00:52:51 he doesn't have the same revenue, but what he can do is win the data center race, you know, and have these up in space, before anybody else. And he's not the only person looking at doing this. Google's also looking at it. Jeff Bezos is looking at doing it through his blue, Blue Origin rocket company. So that's kind of the ball case. That's the rational case. The conspiracy theory is that, you know, XAI is worth 250 billion, but has, you know, a tiny multiple of that in terms of revenue. It hasn't gained that much traction despite relentless promotion through X and on social media. And that like a lot of Elon's very wealthy
Starting point is 00:53:24 friends are invested in XAI. And the easiest way to make sure their investment is protected, just like how he made everybody who invested in his acquisition of Twitter hole, is to merge it with a more successful company that's the undisputed leader in its field, which would be SpaceX. So you put them together, everyone enjoys the upside. Nobody loses money. And you crucially invest in the next Musk fundraising, knowing that he'll always have your back and make you whole. Yeah, the training in space thing is fascinating. I mean, the stuff that people think of. And I know Google is also thinking of doing something. similar. So that to me, thank you for offering that. That is the most logical explanation. All right, let's end on this. This IPO, SpaceX IPO, when it happens, it's going to be massive. I mean, is this, you know, in some ways a test for, because it will be, I imagine it will be the biggest IPO ever. Is this going to be a test case for what it will look like, even though it's completely different
Starting point is 00:54:19 industry, for what it will look like when the AI companies decide to go public? Yeah. I mean, we're hearing 50 potentially, right? raising 50 billion at a 1.5 trillion valuation, it'll be a real test whether the global markets can absorb this. I mean, one of the people are desperate to invest in all these hot private companies like Stripe and SpaceX and Anthropic. And you can kind of get exposure to it by hook and by crook. But the real game changer would be if Elon's army of online fans who have propped up the Tesla share price for years become SpaceX fans as well. Because then you just have access to, you know, pools of liquidity and capital so much larger than what they've ever had access
Starting point is 00:55:01 to, you know, in the past. So I think if Musk can show through the SpaceX IPO that there's huge retail demand out there through, you know, either pension funds, but also Robin Hood or Revolut or wherever else you can invest your personal cash, that could be a real game judge, because that would give the rest of these, the startups that are less mature companies, the confidence that they're not going to go out there and have a real disaster. Because remember this there are a few things worse than listing seeing your stock price decline have having all of your stuff demoralized because they thought they were they thought their stock was worth this and it's in fact worth that and then be out there you know with cleeglikes being
Starting point is 00:55:38 shown on your balance sheet like it's it could be a very comfortable thing to be private before you really have established net income so we'll see I mean it's going to if it does go ahead in June you know which we're led to believe or you know have reported out that it will be it's going to be an absolutely blockbuster summer. Yeah, it'll be fascinating to watch. All right, Stephen, tell people where they could find your work and the work of your team. Well, the Financial Times is obviously, you know, one of these legacy media instruments. We do print a newspaper, it's salmon pink, very recognizable.
Starting point is 00:56:09 But you should go to Ft.com. We're all over Instagram, X, wherever. We've got a great team here in San Francisco. So I hope you have a lot of subscribers watching this show. All right. Well, love it. I always love reading your work. And it's really great to be.
Starting point is 00:56:22 able to speak with you again here on the show. So Stephen Moores, thank you so much for coming on. Thank you for having me. All right everybody. Thank you for listening and watching and we will see you next time on big technology podcast.

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