SpaceX's $5B Loss, OpenAI Stargate Shakeup, and Is OpenAI “Too Big to Fail?”

10 Apr 2026 · 44 min · 18 chapters

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In short

OpenAI’s Stargate data-center shakeup and the “too big to fail” bull-vs-bear debate; SpaceX/XAI consolidated financials and IPO roadshow; profile of Anthropic’s Claude Code leader Boris Cherny.

Guests

Anissa Gardizi (The Information cloud and compute reporter). Martin Pierce (co-executive editor). Jason Dean (San Francisco bureau chief). Corey Weinberg (deputy bureau chief of finance). Theo Waite (Elon Musk reporter). Rocket Drew (AI and robotics reporter; interviews Boris Cherny).

Key claims

Three early OpenAI Stargate compute executives (Peter Hushly, Shemez Hamani, Anuj Saharan) left or planned to leave; compute leadership shifted under Sachin Khadi reporting to Greg Brockman. OpenAI argues compute spending/partner deals outpace Anthropic; data-center projects face delays, cost overruns, labor shortages. Bull side: OpenAI still has ChatGPT dominance; leadership issues are fixable; investors/hyperscalers won’t let it fail. Bear side: IPO timing disputes and leadership fissures undermine a “trillion-dollar” narrative; Anthropic’s momentum and capacity constraints may flip the race.

Notable examples

SpaceX+XAI consolidated results: $18.5B+ revenue vs ~$21B capex; ~$5B GAAP net loss; Starlink ~$7B adjusted EBITDA; XAI losses ~$1–$1.5B. Claude Code: Boris Cherny (ex-Meta) leads a product that evolved from flop to “agentic” coding; Opus 4 (May 2025) and Opus 4.5 (Nov 2025) are cited as inflection points; a Claude Code source leak showed competitors planned features.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

OpenAI Stargate Shakeup

0:45 to 2:10

Discussion on the departure of key executives from OpenAI's Stargate initiative.

“We've got a great profile of Boris Cherney, the head of Claude Code.”

Leadership Changes and Talent Wars

2:10 to 3:30

Exploration of the impact of leadership changes on OpenAI and the scarcity of data center talent.

“So last year, January 2025 was when OpenAI was at the White House announcing its$500 billion Stargate initiative.”

OpenAI's Competitive Landscape

3:30 to 4:50

Analysis of OpenAI's advantages and challenges in the current AI market.

“and we've talked a little bit on the show about to what extent there is a talent war for data center talent.”

Anthropic's Developments

4:50 to 6:10

Examination of Anthropic's recent moves in the AI space and its implications for OpenAI.

“And so I imagine this profile is pretty common for the top data center talent.”

Data Center Build Delays

6:10 to 7:40

Discussion on the delays and rising costs in data center construction projects.

“But I think it speaks to the moment we're in right now.”

Bull vs Bear on OpenAI's Future

7:40 to 9:20

Debate between bullish and bearish perspectives on OpenAI's trajectory and leadership.

“But this is something that, you know, won't really make a difference for years to come.”

The IPO Debate: OpenAI's Future

14:04 to 16:46

Discussion on the implications of OpenAI's IPO and investor sentiment.

“Going public is a minor development in the evolution of any company.”

OpenAI vs. Anthropic: Competitive Landscape

16:47 to 21:10

Exploring the competitive dynamics between OpenAI and Anthropic.

“I would just say that the reason that Anthropics' capacity crunch is so severe right now is because their product has been so successful and it's a product that monetizes.”

SpaceX's Revenue and Losses Explained

21:33 to 22:56

Analyzing SpaceX's financials, including revenue and losses.

“That is according to exclusive reporting from our deputy bureau chief of finance, Corey Weinberg.”

Preparing for SpaceX's IPO

22:57 to 26:02

Discussion on how SpaceX is preparing for its upcoming IPO.

“What do we know about the revenue breakdown in terms of how much is XAI and what the different business lines within the space business are?”
Show all 18 chapters

Investor Reactions to SpaceX's Future

26:03 to 28:01

Insights into investor attitudes towards SpaceX and XAI's financial health.

“reacting to this pitch you're gonna have investors that say um we believe in elon no matter what You know, that's going to be your cohort of retail investors.”

Investor Meetings and Elon Musk's Influence

28:01 to 29:48

Discussion about the upcoming investor meetings and the impact of Elon Musk on SpaceX's valuation.

“I will say a lot of this is Corey's reporting.”

The Investor Sentiment Toward Elon Musk

29:49 to 31:18

Exploration of whether investors will tire of relying on Elon Musk's influence for success.

“I mean, he's done a lot, but maybe this is the limit.”

Introduction to Boris Cherny and Claude Code

31:19 to 31:30

Introduction to Claude Code and its creator, Boris Cherny, in the context of AI development.

“Claude Code has certainly become the enterprise product of the AI era.”

The Evolution and Impact of Claude Code

31:31 to 36:18

In-depth conversation about the development, success, and future of Claude Code and its effects on software engineering.

“And the man behind Claude Code, Boris Cherny, has a fascinating story himself.”

Challenges and Future of Software Engineering with AI

36:19 to 39:54

Discussion of the challenges software engineers face with AI tools and future implications for their roles.

“It's like you have to do some amount of experimentation.”

Adoption Challenges and Opportunities for Anthropics

39:55 to 42:00

Reflection on the adoption of AI tools in enterprises and potential advantages for Anthropics in the market.

“We just don't know, you know, how good it's going to get, but it seems like it's improving rapidly.”

Enterprise Adoption of AI Tools

42:00 to 42:52

Discussion on the hesitancy of enterprises in adopting AI tools and the potential opportunities for companies like Anthropix.

“And, you know, maybe even will there be a pullback at all in companies saying, hey, we need to just not do this as quickly as we thought we might.”
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Transcript

Automatic transcript. May contain errors.

0:13Welcome, everyone, to the Informations TI TV. My name is Akash Basritcha. It is Friday, April 10th. Today on the show, we have got some exclusive reporting on the latest shakeup within OpenAI's Stargate Data Center build. We've also got a bull versus bear debate on OpenAI. It was a busy week of news for the company, so we will make that the subject of today's editor's cut. We've also got some more exclusive reporting around SpaceX's financials and the status of its IPO pursuits. And we'll wrap with this weekend's big read. We've got a great profile of Boris Cherney, the head of Claude Code. We'll talk about his role in the product's dominance and what questions lie ahead for him.

0:54It's going to be a great show, so let's get right on into it. OpenAI's Stargate initiative is facing more tribulations, according to exclusive reporting from the Information's Cloud and Compute reporter, Anissa Gardizi. I want to bring her on to share with us what she knows. Anissa, welcome back to the show. It's great to have you here. Thanks, Akash. What do we know? So three senior OpenAI Stargate executives have left the company, Peter Hushly, Shemez Hamani and Anuj Saharan, who were all key early members on OpenAI's first data center team. So we learned yesterday that, you know, they've either left the company or have told colleagues in Slack that they're planning to leave in the coming days.

1:37Now, this is a little bit surprising because they were early members of OpenAI's first infrastructure effort. The company is about to go public and all of the deals that these guys helped sign are now sort of underway and they're trying to execute them now. So we've also heard that these three executives are going to go to the same company. So we're working on figuring out what that company is. But this was definitely a big shakeup yesterday within OpenAI. Okay, I'm so curious what the company is. So we'll have to bring you back on when you find that out. But you've been doing some reporting on the shakeups happening at Stargate more broadly.

2:11How does this fit into that? Exactly. So last year, January 2025 was when OpenAI was at the White House announcing its$500 billion Stargate initiative. And as we've reported, that morphed from OpenAI potentially building and owning its own data centers to signing up a bunch of cloud deals with other partners. They struggled to finance and understand how exactly they were going to set up the structure, the Stargate structure with Oracle and SoftBank. And so last year, the Stargate venture really evolved. And then OpenAI late last year brought in a new compute leader, Sachin Khadi, who now reports to Greg Brockman at OpenAI.

2:52And a lot of the compute executives went from reporting to Greg to reporting to Sachin. So I think these departures that we're seeing are maybe a natural progression of, you know, leadership changes on the compute team that really started when they hired a new head of compute late last year. So Sachin is still at the company, though. He's the guy who's kind of leading the charge right now under Brockman. Exactly. I would think of Sachin as like the new compute leader. And so he joined last year. It was sort of understanding what's the team like? You know, who do we have? He did a reorg earlier this year, actually.

3:26And now we're seeing some of the early team members depart. So, look, we've talked about the talent wars with respect to AI researchers. and we've talked a little bit on the show about to what extent there is a talent war for data center talent. And it's hard to say right now if these people are being poached. We don't know where they're going. It's hard to say if they're leaving, if they're disgruntled. I mean, there's a lot of questions still, but I mean, how scarce is great data center talent right now? You talk to these people all the time. It is so scarce. Data center talent is not easy to come by.

4:01And these three executives were sort of inside OpenAI during this key period of them figuring out how they were actually going to secure all of the compute capacity that Sam Altman wants. And so I think they're sort of viewed now externally as really good hires. I was talking to people last night who, you know, wanted to get in touch with these folks to see if they were still looking for a job. So I think the market for data center talent is still really hot. And just having people with the context of OpenAI's compute needs is probably going to be really valuable to other companies that are looking to hire them or maybe other executives that are still at the company.

4:41Well, because – and I'm looking at Sachin's LinkedIn right here. I mean, you know, he was the chief technology and AI officer at Intel before. And so this was obviously a big move for him to come to OpenAI. And so I imagine this profile is pretty common for the top data center talent. So with all these departures, I want to ask you about a report that Bloomberg put out. Bloomberg reported that OpenAI has been speaking with investors and reassuring them that, hey, we're doing okay. And one of our biggest advantages is our compute. The compute obviously depends on whether or not they can build the data centers.

5:18What did you make of that report? I thought it made a lot of sense that OpenAI sent that note to investors because, you know, everyone is talking about how Anthropic is, you know, they just announced their$30 billion revenue run rate. Now everyone's wondering, do they have enough compute? And OpenAI has taken the stance of being so aggressive when it comes to publicly talking about how much compute they have, whereas Anthropic is a lot more quiet about it. And so it made a lot of sense that OpenAI went to investors and said, hey, our advantage is actually how much money we're spending or how many deals we're assigning.

5:53And so they gave some number comparisons of how OpenAI believes it's ramping its compute capacity faster than anthropic. But these numbers were obviously estimated by OpenAI. And so, you know, it's a little unclear how accurate their estimate of their rival's compute capacity will be. But I think it speaks to the moment we're in right now. Compute is the biggest constraint and startups are going to say, hey, our willingness to spend money on compute is our advantage. I mean, why wouldn't you say that if you're OpenAI? Right. And I mean, this is the whole seesaw that Dario talks about is, on one hand, you know, if you build too much, then you overspend.

6:32If you underbuild, then you don't have the capacity. We saw today that Anthropic signed a deal with CoreWeave. And so it's obviously thinking about its compute capacity as well. I want to ask you about Anthropic, though. So Reuters had a report that maybe they're looking to develop their own chips, which is another interesting development here in the store. We know OpenAI has been looking at perhaps making their own chips. I think they have a deal with Broadcom, if I'm not mistaken. Exactly, exactly. So what did you make of the Reuters story about Anthropix chips? The Reuters story on Anthropix, potentially thinking about designing its own chip, was not too surprising because every company under the sun that relies on NVIDIA chips or someone else's hardware has thought at one point, should we make our own chip?

7:23I think one good data point to look at is that we've been reporting on OpenAI building its own chip for many years. And today that chip is not in OpenAI's data centers and OpenAI's signing deals with all other kinds of chip companies. So if Anthropic is just starting to think about it right now, we have at least two to three years before it becomes important. But I think, you know, every company that relies on NVIDIA or even in Anthropics case that relies on Tranium from Amazon and also TPUs from Google, it would be silly if they weren't thinking about building their own chip. But this is something that, you know, won't really make a difference for years to come.

8:02Let me ask you a bit of a broader question to close up here. your conversations with folks in the data center space. I mean, we are waiting to see how many of these data centers actually get built, how many of them are delayed. We were talking to the CTO of CoreWeave a little bit earlier in the week, and we were asking him about delays. He seems pretty confident with their builds. But what's the vibe generally right now in data center land compared to when you were in Hawaii at that big data center conference, has anything changed really? I would say that the vibe on the ground within data center circles is that projects are delayed and the costs are increasing to the point where some of these projects are just going to be really hard to build in the near term or people will have to push them out into the long term simply because it would be way too expensive to build right now.

8:58Now, everyone is saying this about their competitors' projects, so that is always something to keep in mind. But I think cost overruns and delays, labor shortages, that's really on everyone's minds. So this is something that we will be following this year for sure. Great. Well, Anissa, I want to thank you for coming on. That is Anissa Gardizi, our cloud and compute reporter here at The Information. Speaking of OpenAI, this week on The Editor's Cut, we are going to be hosting a bull versus bear debate on the company. OpenAI has made a ton of news this week, and it seems we could be at an inflection point.

9:32The question, of course, being whether or not it is a good or not so good inflection. I want to bring on our co-executive editor, Martin Pierce, and our San Francisco Bureau chief, Jason Dean, for help us with the conversation. Welcome to you both. It's great to have you here. Hey, gosh. Great to be here. Thanks. So, Jason, it's your first time on the show. Welcome to TI-TV. We're excited to have you here. You are taking the bear perspective, is what we decided, for UnOpenAI. So let's walk through the events of the week. How are you thinking about it? What does it tell us about OpenAI's trajectory?

10:08Yeah, I mean, it certainly wasn't the best week for OpenAI. It started with our scoop by our colleagues Anissa and Amir that CFO Sarah Fryer and CEO Sam Altman are sort of at odds over the IPO timing and some of the spending plans. Monday, you had a huge New Yorker piece that revisited the whole narrative that Sam Altman can't be trusted. And then Anthropic has been racing ahead. And we learned this week that their annualized revenues hit$30 billion, which means that for the first time, they're now actually bigger than OpenAI. Plus, we've been hearing about this new model from Anthropic that is so powerful, supposedly.

10:56that it risks being able to hack every piece of software on the planet, and therefore they're not fully releasing it. So there's been a lot of tough news for OpenAI and good news for its rival. And then, of course, to cap it off, the story that Anissa was just talking about, that several of the top executives at OpenAI in charge of their compute have left. So tough times, of course, the news ebbs and flows, and they also have had some good news recently about fundraising. But at a minimum, the competition's gotten a lot closer with Anthropic and we're seeing, again, signs of fissures in the leadership at OpenAI.

11:38Okay. Martin, he's making some good points. You are the bull, which is something I got to see. So let's see. The only inflection point here is in the media's coverage of the company. OpenAI was the darling of the media, and now it's not. That always happens. Really, ChatGPT is still the standard for the vast majority of people who use AI. that is not likely to change very easily because people just, you know, get these, you know, that they get very set in their ways. So I really, firstly, on that point. Secondly, on the ARR point, the two companies, Anthropic and OpenAI, they do not calculate revenue in the same way.

12:30And if they did, I think you would find that OpenAI was probably bigger than it appears. And in terms of the management issues, look, I agree that there is some management concerns here, but that could be easily resolved. They just have to replace the management, which they can do and probably will do if they have to. This company, I think, is still very well positioned. And, you know, we should never in an industry like this where it will take years for AI to really develop. we cannot over-index on one week of bad news. Okay. So, Jason, what do you think? I mean, is Sam Altman the right person to be running the company?

13:14You know, is it just media coverage? Well, I would differ with Martin on that. I mean, I think there's some substance here. I'm not going to opine on whether Sam is the right person to lead it or not, but the whole idea that there's a discussion at this point in a year, in April of a year where Altman has said he wants to go public, that whether he is even the guy to lead this company or whether they might need to change CFOs or other top executives suggests that things are not in the situation that you would want if you're talking about a company that's supposed to have a trillion dollar IPO.

13:53So I think the leadership issues are significant. they've been significant and they've weathered them in the past but you know as an investor as a potential shareholder you do not want to see that in a company with a valuation like that that is you know still burning enormous amounts of cash every single day of the week um can we just pull back the camera a bit I mean this obsession with when they go public I mean I know the media loves to obsess when this company will go public. Going public is a minor development in the evolution of any company. Over the long term, whether they go public this year or next year, it's not going to actually matter at all.

14:38So I think that is one of the problems. Yes, it's not ideal for them to be, for this reported debate, among these top people about whether this is the right year. But in the long term, this is not going to matter at all. I would say if you were an investor, this is a great buying opportunity because everyone is now down on open AI. And I think you could argue that this is the time to be buying. Well, I mean, you know, they're at parity in size, even if... We don't know that, Jason. Even if your accounting point is right, Martin, And Anthropic is a lot closer to the same size to OpenAI than they were a while ago.

15:24And their valuation is less than half. So I think if you're looking around for AI buying opportunities, maybe you're looking at Anthropic and not OpenAI. I agree with you that the month of the IPO timing or maybe even the quarter is not that important. But let's remember that I'm not the one who came up with that idea. It's Sam Altman himself, who's the leader. He obviously thinks it's very important. and he thinks it's important not to let Anthropics steal the march with investors. And they still need capital. They just raised$122 billion, but they need more. And the private markets are reaching the limits of their ability to supply that capital.

15:58So I think the idea of IPOs for these companies become much more important than they are for typical companies that are thinking about going public. They need access to additional pools of capital if they're going to continue to burn tens of billions of dollars a year. Life is long, though. Let's remember that Anthropik has some issues with capacity. We've reported that users have been having increasing problems using their products. So I think the fact they don't have enough capacity will become more of an issue. And we could easily see that the story about these two reverses fairly soon. That is a fair point.

16:48I would just say that the reason that Anthropics' capacity crunch is so severe right now is because their product has been so successful and it's a product that monetizes. You were talking earlier about ChatGPT being a far better known product, and that is certainly true. But right now, we have OpenAI projecting enormous amounts of advertising revenue that can leverage that. But their main move recently, strategically, has been to try to follow Anthropik's lead, and it's a big lead, in terms of the enterprise business, where Cloud Code has been so successful, and Cloud Cowork is also ahead of what OpenAI has been doing in that area.

17:30Can I just remind you guys of some, if you go back in time, AT &T had the iPhone before anybody else. The usage was so enormous, the AT &T network collapsed. And that when the iPhone was made available to the other carriers, people moved. It's not always good to be that successful. What do you mean by that? What do you mean by that? What I'm saying is that if you have that much usage and the system cannot handle it, then it might end up rebounding on you, and that could be a bad thing, which I think is beginning to happen. So I'm just arguing that the bull case on OpenAI is underappreciated right now, and we'll see what happens next week.

18:26Can I ask you, look, I want to ask you about the question, both of you here, the idea that so many investors, hyperscalers, venture capitalists, I mean, there are so many players that have a stake in OpenAI, whether it's a literal stake or it's just a vested interest in having AI companies thrive. I mean, you know, Jason... I catch that is a very good point. Are all these companies going to let this company die? No. So you're saying it's too big to fail? I think I've heard that somewhere before. I've asked you. Too big to fail. Therefore, it's a bull case. Jason? I feel like maybe history has not always served that argument terribly well.

19:13I think we've had some pretty epic companies that have struggled. But I'm not predicting the collapse of open AI, to be clear. I think, you know, there's plenty of room for multiple competitors in this race in the future. I do think that the idea that we have even, you know, some level of parity in revenue right now, that is not a short-term blip. You know, the model capability horse race has changed leads more times than I can count over the last several years. But consistently, OpenAI has been ahead of Anthropik in size and ahead by quite a bit since this whole race began. Now they're not. Anthropik has closed that distance and they've closed that distance with continued momentum.

19:57Now, you know, it's a long race. As Martin has said, I agree with that. This is, we are nowhere near the end of it. But that is a pretty fundamental change in the dynamic of the race. ARR is not a very good metric. So I don't think we should be resting the argument on that. Let's just say that. I think that what is underappreciated about OpenAI is that if they brought in some seriously good management, the company would take off. So that's the biggest reason to buy the stock. It can only go up from here. Okay, so Martin, who should they bring in? That's a good question. I don't know. That is a very good question, though.

20:41Jason? Well, you're fine with Sam. Yeah, I mean, I just would say that when your argument for a trillion-dollar-valued company is like, well, if they had good management, they would be great, it's maybe not the greatest argument. I was told to argue this guy.

21:03Okay. Well, all right. Thanks for that, guys. And thank you, Martin, for breaking the fourth wall. We appreciate you both being good sports about this. Next up, we're going to have to have the SpaceX debate, and I'm very excited for that one. Stay tuned. Sorry. We'll bring you back on for SpaceX later on. Okay. All right. That is Martin Pierce, our co-executive editor, and Jason Dean, our San Francisco bureau chief, here at The Information. Thank you. Speaking of SpaceX, SpaceX's revenue might be more than we thought, but it is still burning a ton of cash. That is according to exclusive reporting from our deputy bureau chief of finance, Corey Weinberg.

21:42He got SpaceX's latest financials. I want to bring him on, and I also want to bring on Theo Waite, our Elon Musk reporter, for his latest reporting on the SpaceX IPO. Welcome to you both. It's great to have you here. Hey, Kyle. Corey, what do we know? What's the latest on SpaceX's top and bottom line? This is the first time that anyone has reported the consolidated financials of SpaceX and XAI. And it is insanely interesting. What we have here is a company that is spending more on capital expenditures than it brought in in revenue last year. So it brought in more than$18.5 billion in revenue. its capital expenditures neared 21 billion.

22:27And what we see very plainly is with SpaceX buying XAI, it absorbed all of that spending and went from a company that looked pretty clean on a profitability front because of its Starlink connectivity segment. And now it's burning cash, it's losing money. It's net loss using gap accounting principles was nearly$5 billion last year. So you talked about the XAI factor in here. What do we know about the revenue breakdown in terms of how much is XAI and what the different business lines within the space business are? Do we have any clarity there? We know how it breaks down in terms of adjusted EBITDA.

23:14So, you know, sort of that very, you know, somewhat crude metric of profitability that investors do pay attention to that excludes major costs like depreciation and stock-based compensation. But the Starlink business is the huge driver of that profitability. It generated more than$7 billion in adjusted EBITDA last year. And even the launch business that SpaceX has was slightly profitable, nearly nearly a billion in adjusted EBITDA. The AI division, not as much. It lost between a billion and a billion five on that measure. And so very quickly, before I get to you, Theo, Corey, general reaction to this?

24:02I mean, was this better or worse than you thought? it shows you know sort of i think in in sort of pretty living color what everyone had a somewhat assumed after a space exit bought xai which was uh you know this this is absorbing a part of elon musk's empire that is just unproven um whereas spacex is has a pretty good business on its hand. And I think, you know, where my mind really goes from here is they're going to have to show some pretty rosy forward looking projections to justify the, you know, 1.5 to$2 trillion valuation they may seek. Okay, so Theo, what's the latest on how they are preparing for the IPO then?

24:57Theo Wayt:I mean, I, you know, I think the numbers Corey reported show the necessity of cutting costs at XAI and reducing the amount of money they're burning there. And I think they're in the process of doing that. I mean, they've put this guy named Michael Nichols, who is the head of Starlink currently. He's now also a big executive at XAI and is kind of moving in, bringing a bunch of SpaceX people in to clean things up and try to, you know, reduce the burn there and make as much staunch the bleeding, essentially, basically. And I think the other thing that's important to remember when we think about XAI's financials is that the majority of the revenue XAI is making is almost certainly coming from X and not actually from selling its AI models.

25:50Theo Wayt:So the other weird thing about this IPO is that we have this Elon Twitter takeover tucked into xai and and now tucked into spacex and making that all into a coherent package is like you know pretty pretty challenging i would think cory do you have any sense for how investors are reacting to this pitch you're gonna have investors that say um we believe in elon no matter what You know, that's going to be your cohort of retail investors. It's going to be certainly the existing investors that have made a ton of money off of his companies on Wall Street and beyond. You're going to have a group of investors that say, okay, I see the vision.

26:42You have AI plus space, maybe data centers in space, maybe Starlink direct-to-sell business. like, okay, I see it. Great company. I want in. I'll pay a premium. Maybe this thing gets bought by Tesla eventually and I'll make that bet. And you're going to have investors that are just like, yeah, this is way too rich for me. I'll pass. I have other things I can invest in. I think how big that middle cohort is going to be, you know, really crucial, not just for the IPO where they're trying to raise, you know, 50, 75, 100 billion, largest IPO of all time. But how do investors receive this as existing SpaceX shareholders need to sell hundreds of billions of dollars worth of shares into the markets?

27:32What is, you know, sort of as we can see, SpaceX not making money right now when you include the XAI division. And so it will really need this capital. It needs this IPO to go well. So, Theo, take us a little bit inside this roadshow that's happening right now. I mean, you had some great color in your story about how the company is sort of wooing investors. Just give us a little bit of the on the ground, you know, anecdotes.

28:01Theo Wayt:I will say a lot of this is Corey's reporting. Okay, fine. Corey, go.

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28:07You know, some of the, you know, people who control the largest buckets of money in the world on Wall Street are going to have to decide, do we go to the southern tip of Texas and then to Tennessee in a couple of weeks to, you know, sort of see these massive space manufacturing and launch facilities as well as some of the largest data centers? ever built um you know it's gonna be some long flights maybe gonna be some heavy security maybe theo and i will um we'll uh we'll crash the party we'll see don't tip them off

28:50Theo Wayt:i will also say on on the timing um you know we we we did point out in the story that the investor meetings kick off during the week of 420, which unfortunately aligns so that there may be some updates, including possibly the S1 dropping or other things during the week of June 9th as well. So, you know, if you know anything about Elon Musk, that's not exactly surprising. Okay, well, that's one way to... Yeah, we basically... The way to think about this calendar and for for all of our viewers and listeners out there you know have your pencils handy mark your calendar you know we're gonna have a few weeks of these investor meetings he's testing the waters meetings uh you know conversations between the fine uh morgan stanley and goldman sachs bankers spacex finance executives and huge wall street fund managers and uh you know so the analysts that work for the banks and you know we're gonna have this valuation debate for you know for six weeks or so the s1 will probably drop late may early june ipo and mid-june that's the kind of current plan theo let me ask you one last question before we let you both go here the elon musk factor of all this that cory is pointing to i wonder if you ever think about you know when the when investors if they ever tire of that argument and you know at what point they start to say, well, maybe Elon is not the secret sauce that we once thought.

30:28I mean, he's done a lot, but maybe this is the limit.

30:33Theo Wayt:Are you saying, like, is that going to happen now? I don't know. I mean, Elon is, like, his companies are very tempting for people to call the top. Like, that's happened with Tesla so many times where people say, you know, surely this missed milestone, surely this regulatory issue. There are so many times that it's tempting to say this is the end or this is the peak of Elon's power, and he keeps defying that and continuing on. I'm not going to claim it's going to be a huge success or a disaster. I'm just going to try to report on it and figure it out. Great. Well, Theo and Corey, I want to thank you for coming on.

31:18That is Corey Weinberg, our Deputy Bureau Chief of Finance, and Theo Waite, our Elon Musk reporter, here at The Information. Claude Code has certainly become the enterprise product of the AI era. Businesses are jumping left, right, and center to get their developers to hop on the vibe coding bandwagon. And the man behind Claude Code, Boris Cherny, has a fascinating story himself. My colleague Rocket Drew wrote a profile on Cherny and spoke with him, too, for the story. I want to play for you a conversation that I had with Rocket about that profile. Here is that conversation. Rocket, welcome back to TITV.

31:56It's great to have you here. Thanks for having me. Okay, so you wrote this profile of Boris Cherny at Anthropic. Who is Boris Cherny? He's the head of Claude Code, which if you've been hearing anything about AI in the last three months, you would know that Claude Code has taken the tech world by storm. I mean, it's almost like this Claude code moment can only be compared to the moment when ChatGPT was released. It has really defined a new breakout category of products for large language models and generative AI. It's AI that can code agentically. It can work across many files at once. It can write code.

32:32It can edit code. It can spot and fix bugs. And it has completely redefined what the job of software engineer looks like in 2026. It wasn't that way when it first launched. It came out over a year ago, and it was a little bit of a flop when it first came out. But these days, it is really ascendant and has been propelling Anthropics revenue to new heights. And picking up on that last point there, I mean, Claude Cote, it has not only reinvented an entire category of work with software engineering, but my impression is that it has very much reinvented the ways in which AI companies will actually make money from their products.

33:10because we look at Anthropik's revenue this week. We got new figures. I mean, am I correct here that Claude Code is really the revenue driver that has driven Anthropik to higher heights than even OpenAI? It certainly seems that way. From every indication, Claude Code has been growing really rapidly. We haven't heard a revenue number from them recently. The last one was 2.5 billion annualized revenue back in February. But when I spoke to Boris, he said that the revenue has been growing only faster and faster since then. So that's definitely something - So let's go into Boris's story then. So you mentioned, I mean, Cloud Code wasn't always what it was.

33:46It came out a little over a year ago. Tell us a little bit about Boris's responsibility in the development of Cloud Code and just how integral he's become to it. Yeah, absolutely. I mean, to be clear, there are plenty of people on the Cloud Code team at Anthropic, but in many ways, Boris has become the face of the product. In part, that's because he's sort of the diplomat. He's the representative for the product who goes on social media, who goes on X, who goes on threads and talks to other developers, answers questions from users, explains the company's thinking about which features are coming up and how the company's making decisions.

34:20So people really associate him with the product. He joined from Meta. He was at Meta for a number of years working on infrastructure and also code quality internal to Meta. And before that, he actually dropped out of his undergrad degree in economics at UC San Diego, where he was studying economics, not computer science, but economics. He's a self-taught programmer. He's been programming since he was in middle school. So it's second nature to him. And it seems kind of fitting that now he's at the head of this really influential product that's changing the way coding is done. And so you spoke to him.

34:54What did you learn from the conversation with him? Well, I was really curious to go in and get a sense of where are things going, what direction is the product headed, and I was asking him, you know, what features do you expect to ship next? And there were some small things that were coming up, and then the impression I got from him was really that the team is a little bit flying by the seat of its pants. I mean, you can only plan so many weeks in advance with a product that's moving this quickly, especially when you're getting so much feedback from users all the time. You have to be prepared to pivot.

35:26That makes it very difficult to predict what is this product going to look like in a year? Some things we can say is probably the models powering it will be more powerful than ever. They'll be smarter. Probably the product will be more accessible in a way that even people with no computer science or programming experience will be able to take advantage of. But there are just new features coming out for it all the time. For example, about a week after I interviewed Boris, there was a leak. the source code for Cloud Code was leaked on the internet. And a lot of competitors got a look at some of the features that the team has planned.

35:57So of course, I went back to Boris and I said, what about all these features? Like you didn't mention these ones that we just saw got leaked. And he said, well, fair enough, but we only ship maybe 10 % of the features that we prototype. We're experimenting all the time. We're trying lots of different things. So it's hard to know. So it's actually, it's the discernment of which of these features will actually work with users that he's pointing to being part of their secret sauce, per se. Yeah, exactly. It's like you have to do some amount of experimentation. Sometimes you try something out and it doesn't work at all.

36:28Sometimes you try out something else and it'll be a surprise hit. So, I mean, that's kind of interesting. You talked about the newer models that are coming out. You talked a little bit about the threat of competition with the leak. Did you ask him about OpenClaw at all and how that's changed the game? I was curious to ask about this because certainly CloudCode has taken a number of notes from OpenClaw and we've written a fair bit about this, but they've borrowed plenty of features that helped OpenClaw take off in the viral way it did earlier. So, for example, the ability to send out jobs to it using your phone, but have it start up and do some work on your computer.

37:06And you can do that remotely. That's something that Claude Code has added. Or the ability for Claude Code to work more proactively, to come up with ideas on its own and sort of start working on them. But I asked, and Boris himself is not an OpenClaw user. So they're watching it keenly, but he's pretty dedicated. He doesn't use it, really? How do you not use, like, the tool of the, you know, quarter? Yeah, I guess he's just a Claude Code devotee, and that's what it comes down to. But what you said earlier, the models improving is really key because that explains how the product got to the heights that it's reached today, even though it was a flop when it first launched.

37:44It took smarter models coming out of Anthropic before Claude Code could really act agentically, before it could autonomously work on a lot of code at once. When Claude Code first came out, the models just weren't smart enough. So the first of these sort of inflection points was when Opus 4 came out in May of last year. That was like a pretty strong model. That was when Boris himself sort of started noticing like, wow, this thing could be real. It started writing more of his own code at that point. The real aha moment for people, though, was in November of last year when Anthropic released Opus 4.5, which was their best model at the time.

38:20That's the moment when people started to say, I think this is a human level programmer. I think this thing can code as well as many humans. So that's when it really started taking off. Then people went home over winter break. They finally had some time to experiment with it and try it out themselves. People joke, you know, GDP usually goes down over the vacation when no one's working. But this time, people got more productive than ever because they experimented with code. So then it really started taking off at the start of this year. So, I mean, you had this conversation with him. In the background, we've got the leak.

38:53We've got now Mythos out, and it's one of the first models that people are talking about may not be released to the general public ever because of how great – well, not how great – how good it is at finding bad things that can be done, I guess, to computer and software. I wonder if you reflect on all of this, what are the big questions that you have about the future of CloudCode and whether or not it can retain its lead that it seems to have established in the money-making business of selling to developers? Yeah, yeah. Well, there's certainly a number of business model questions here. There's questions about whether Anthropic is going to continue to have access to the compute that it needs, the chips to actually run the models and power Cloud Code.

39:45From what we've seen, their capacity seems kind of limited. Cloud Code uses a lot of compute. It's expensive to use, even relative to other products. And this has led to some frustrations for developers who feel like they don't have enough access to cloud code for it to be useful to them or it's too expensive or they can't use it in the ways that they want and this opens up opportunities for competitors such as open ai to offer an alternative that's maybe more efficient or has more forgiving rate limits so that's a that's a question on the product side in terms of the technology there's a question of how good can the models get how autonomous can this thing uh start to work is are we going to get to the point in the next couple months where the model can complete a task that normally would have taken a developer 24 hours of continued work, 48 hours a week of work.

40:33We just don't know, you know, how good it's going to get, but it seems like it's improving rapidly. And then there's a labor question. I think there's a lot of uncertainty around what does that mean for the job of a software engineer? Software engineers right now, it seems like, are trying to get out of the model's way as much as possible. They want themselves to not be a bottleneck. So more and more, the work of a software engineer involves switching between 12 different agents that are working on different tasks. And that's sort of the limiting factor that software engineers are running into is when they're trying to be as productive as possible, how do they keep track of 12 different threads of things that agents are working on separately so that they can manage all of those agents?

41:12If that holds up, the job of a software engineer will look pretty strange in six months or a year. And, you know, if I can add to that, you know, I feel like there is also an adoption question, and maybe this is less of a question for Claude Code, but rather the Vibe coding sector at large. I mean, we have seen that certain businesses are open to using it. Certain businesses are now token maxing and encouraging people to using it. But I think, though, when you loop in the security risks that we've heard coming up with Vibe coding and the fact that not all the code that comes out of any Vibe coding interface is good quality code and some of it has vulnerabilities.

41:54I mean, I do think there is an adoption question. Will we see adoption start to plateau at all? And, you know, maybe even will there be a pullback at all in companies saying, hey, we need to just not do this as quickly as we thought we might. So anyway, Rocket, it was a great – something to add there? And then we'll let you go. And now you're going to run. Just that to the extent that enterprises are hesitant about adopting these tools, it's possible that Anthropix sees that as an opportunity for them because they have experience working with enterprises relative to some other competitors that have been more consumer-oriented.

42:30And because they have this reputation for being very safety-focused and safety-minded, that might offer some reassurances to potential enterprise customers that they're taking those considerations seriously and will work to ensure that they can adopt the models in a smooth way. But it remains to be seen for sure. Great. Well, Rocket, I want to thank you for coming on. It is a great profile. I encourage everyone to check it out on our website. That is Rocket True, our AI and robotics reporter here at The Information. Thanks, Akash. Well, that does it for today's show. A reminder, we are on this stream Monday through Friday at 10 a.m.

43:06Pacific, 1 p.m. Eastern. If you can't make it then, episodes are available on theinformation.com, on our YouTube channel, or wherever you get your podcasts. Make sure to follow us on social media on X, Instagram, TikTok. I'm already excited for our next show. Have an awesome Friday. Have a great weekend, whatever you get up to. see you on Monday bye-bye for now

From the publisher

The Information’s Anissa Gardizy breaks down the executive exodus from OpenAI’s Stargate initiative and the intensifying war for data center talent. We host a Bull vs. Bear debate with Martin Peers and Jason Dean on OpenAI’s leadership fissures and whether its revenue lead over Anthropic is evaporating. Cory Weinberg and Theo Wayt reveal exclusive SpaceX financials showing a $5 billion loss driven by xAI spending as the company kicks off its massive IPO roadshow. Finally, Rocket Drew profiles Boris Cherney, the face of Anthropic’s Claude Code, to discuss how AI agents are redefining software engineering and driving a multi-billion dollar revenue surge.

Articles discussed on this episode: 

https://www.theinformation.com/articles/openai-stargate-leaders-depart-latest-shakeup-data-center-strategy

https://www.theinformation.com/articles/spacex-posted-nearly-5-billion-loss-last-year-ai-spending

https://www.theinformation.com/articles/spacex-woos-investors-c-suite-shakeups-continue 

https://www.theinformation.com/articles/self-taught-programmer-became-father-claude-code 

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