Meta to Deploy Homegrown Chips, Uber to Offer Zoox Rides

17:01Caroline Hyde:It seems like a massive investment. They wouldn't give us a specific figure to how much they're spending on their own in-house chip work. But just seeing the products on the table, you got to believe there are billions at play here. One thing I would have loved to see was MTIA 450 and 500. These are the next generation.

17:20Ed Ludlow:We asked. They showed us the CADs or the EDAs.

17:25Caroline Hyde:No finished product yet. And we're looking to 2027 for that. So two more being released next year. And in six-month increments, which is really notable. Yeah.

17:37Ed Ludlow:It was a great deep dive. I'm looking forward to seeing the next chips. Riley Griffin, thank you very much indeed. Now, in other news, NVIDIA will invest$2 billion into Nebius. Now, as part of a strategic partnership to develop and build AI data centers, you guessed it, which will help Nebius deploy more than, get this, five gigawatts of NVIDIA systems by the end of 2030. Again, this age-old circular financing question comes once more, and NVIDIA putting it in to the end customer for its chips. Nebius, though, has a fascinating history. Of course, it's the Dutch company. It was the holding company of what was once Yandex.

18:15Ed Ludlow:In fact, it's still led by Yandex's co-founder, the Russian business. And it's basically, you know, it's one of the European names. The stock reaction, I guess, not that surprising, right? NVIDIA has made several multi-billion dollar investments in one or another layer of what's happening in AI infrastructure. But at one point, up 18 % on track for its biggest jump since September. I guess a vote of confidence from the main market leader for GPUs that go into the data centers. Yeah, certainly. What we've just had news this week of Nscale and the fact that they've got new funding, got more people on the board, Nick Clegg, Sheryl Sandberg.

18:47Ed Ludlow:so there's a real heating up of those NeoClouds over in Europe as well as CoreWeave over in the US. It's another day and it's another big bit of AI agent news. Databricks is launching GenieCode. It's a built-in autonomous AI assistant for really technical talent. Joining us now in New York, CEO Ali Gozi, who's here for a big sales event that you host here in the city. And Ali, what is this particular bit of code equipment going to do for your talent?

19:13Caroline Hyde:Yeah, so what it is is, you know, we've heard a lot about cloud code and coding agents and so on. But what they do, they're kind of like interns that can write code for you. That's great, but how do you get that code into production? And for that, you need to be sure that, you know, nothing's going to go wrong, that you can measure it and so on. So GenieCode is really about how do you actually get your code into production? How do you measure the data pipelines that power all of the dashboards that you see? And how do you even start building AI models? So what GenieCode can do is it can build a machine learning model for you that can predict prices or estimate how much you're going to sell of this.

19:48Caroline Hyde:And it can do this itself. It just goes, builds machine learning models, iterates on them, does a lot of the things that data scientists previously had to do themselves. It just automates all of that for you. And it's not getting things incorrect.

20:01Ed Ludlow:As the work continues, there's still been a lot of concern that these things are hallucinating the longer term that they work.

20:07Caroline Hyde:Yeah, this is a big problem in the industry. So with this, this is like one piece of the puzzle is what I talked about. the other piece of the puzzle is we also acquired a company called Quotient. And these are the folks behind GitHub Copilot's quality measurement. So there are folks focused on quality measurement, making sure that they can do monitoring of how things are going. So this is the other piece of the puzzle, so that we can actually do that. So when you launch these things and they're running, how can we oversee it to make sure that nothing is going wrong? Or it's sort of, if it's going off track, we can stop it, restart it.

20:39Caroline Hyde:So that's equally important, maybe even more important than the first part.

20:42Ed Ludlow:Ali, it's great to have you back on Bloomberg Tech. Taking in aggregate, launch of Genie Code, acquisition of Quodient, how much at this stage for Databricks is it about product diversity, kind of broadening the offering or suite or platform for your customers?

20:59Caroline Hyde:Yeah, I mean, that's super important, right? Because the space is moving so fast. And just, I think, six months ago, we were talking about things that were out of completing code. To now, everybody has agents that can write the code. So the question is, how do we actually make the code that has been written into production, make sure that they're powering up everything inside of the enterprise, and making sure that we're monitoring it, making sure that we can actually start doing more interesting things with it? Can we build AI models automatically for the business that can predict the business?

21:28Caroline Hyde:So to complete that puzzle and have all the different puzzle pieces, you have to expand. So it is about that. And that's why Quotient and also Genie Code have been added to this.

21:40Ed Ludlow:how defensive was that move? I think about the interest in Cursor right now, what Claude is offering on Anthropic through the coding side, your awareness of the battlefield in AI.

21:54Caroline Hyde:Yeah, I mean, those are great partners and customers that we work with, and we use actually Cursor, and we use Cloud Code internally at Databricks as well. You do, yeah. We do. But those things, they focus on how can we write, how can we help software engineers? What GenieCode really can do is it brings it to the knowledge worker The people that create your dashboards inside of an organization and they make sure that your revenue numbers are correct or the people that make sure that the data that's coming in every day into the organization is correct, nothing breaks, there's not an outage, you don't have a blue screen, the dashboard is out and you can't see it.

22:23Caroline Hyde:Or the people that are building machine learning models that can predict your prices or your costs or doing risk assessment with machine learning models. It automates that portion. So it's sort of very complementary to cloud code and cursor.

22:36Ed Ludlow:And Replit. And I'm interested in vibe coding, like we're all talking about it. And indeed, you've got some slightly less technical talent inside your business who are using Replit. And in fact, Databricks Ventures invested in Replit as of today. So how are you seeing the adoption of AI agents? What does it mean actually for the strength of your data business?

22:56Caroline Hyde:Yeah, so that's a great point. So GenieCode is really for data scientists, for data engineers. These are people that are the knowledge worker that understands data. At Databricks, we have 10 ,000 employees. About 3 ,000, 4 ,000 of them are in this category that they're quite technical, and Genie Code will help them. But we have 5 ,000, 6 ,000 people that are sitting in marketing or in HR or in finance, and they don't have those technical skills. Replit is excellent. They love it. These are people that would never otherwise even touch code, and they're now using Replit themselves, and they're building things that actually work.

23:26Caroline Hyde:And the best part of it is whenever you build a piece of software that works with Replit, it uses a database behind the scenes. And actually, we have very deep partnership with them. so it uses our lake-based offering behind the scenes. So it uses that database that we offer, which is perfect for these kind of agentic tools. So I think Repli is really amazing for democratization to the broader masses. The people that you would never imagine would write a single line of code.

23:48Ed Ludlow:Hey, Ali. Yeah. I'm sorry to interrupt. We just got 30 seconds. I've got to ask you, where are we on Databricks' path to the public markets? Yeah, I knew you were going to ask.

23:59Caroline Hyde:Look, I don't think right now is the best time to be public, so I'm pretty happy to be private to this very moment, right, with everything that's going on in the markets, we are really excited about what we can do with AI. As you can see, we're doing all these acquisitions, we're investing, we're hiring people. So we're focused on this long-term revolution that's happening with AI rather than having to be bogged down about EBITDA and what's happening in the market today. So we will be public, but I don't think now is a very good time.

24:25Ed Ludlow:Ali Gozi, Databricks CEO, I had to ask. Up next, Uber and Zoox. This is Bloomberg Tech.

24:40Ed Ludlow:Okay, China is moving to restrict state-run enterprises and banks from using OpenClaw AI apps, citing security concerns. According to sources, notices have been sent to various agencies in recent days that warned against installing OpenClaw software. Shares of Chinese AI and tech stocks slid on the report. Here with more Bloomberg executive editor Peter Elstrom. I think explain the reporting a bit, you know, the sort of rule or notice that was sent out. And I guess also what OpenClaw is and how it's used in China in the context of that report.

25:16Caroline Hyde:Sure, sure. Well, you guys have talked about OpenClaw a few times in the past. Of course, it's this agentic AI service that started here with Peter Steinberger, who released it to the public. And it was kind of a hit a few months ago. What people may not know quite as well is that in the past couple of weeks, there's just been a frenzy in China about OpenClaw and the service. And this idea that agentic AI can really begin to do things for you if you connect it to your messaging, your finances, to all sorts of other maybe company documents, too. So it's supposed to be a plug-in that you can use through your messaging service, a WhatsApp or WeChat in China in particular.

25:56Caroline Hyde:And there's been this huge uptake over the past couple of weeks. We've seen companies like Tencent and Minimax introduce plugins to be able to use open-claw services that are slightly modified, and their shares have really been soaring on this news. So consumers have begun to adopt it. Some companies have begun to adopt it. And that leads us to where we are today, where this is an exclusive from Bloomberg, where we found out that Beijing has told the state-owned enterprises, the military, government agencies, that they can't adopt this kind of technology because there are risks. You're giving tons of access to a lot of information that could be confidential through the service, and they don't want these organizations to do that.

26:38Ed Ludlow:I mean, Austrian developer Peter Steinberger, who's now gone over to OpenAI, Peter, he was the first to admit that security and safety wasn't his first focus when building out what has become a hugely popular tool. And so, therefore, is China a little bit late to the party here, not only adopting a Western-made piece of tech here, an open source one, but also one that had been admittedly already pushed back by U.S. institutions because for fear that it would go rogue.

27:04Caroline Hyde:I think that's right. I think Steinberger was quite vocal about some of the risks here. I think he was more focused on trying to prove that Gen2K can be useful and that it can be easily accessible if you're able to tap into it through WhatsApp, for example. So I think he was more focused on that side of it. He was kind of deprecating about what the service could actually be used for. But now we're seeing it being taken up in a number of different places, certainly in the US and Europe also, and in Asia with this China explosion of interest. I think the Chinese tech companies have been very quick to pick it up and see how they can adopt it for their own market too.

27:38Caroline Hyde:And I think with those advances, you've seen these organizations take it on, and some of these risks are coming to the fore. I think you're exactly right, though. Cybersecurity experts have been quite worried about agentic AI in general and OpenClaw specifically. good.

27:51Ed Ludlow:Max Claw being relaunched. I mean, so many of them taking on the news. Peter Elstrom, great to have the breakdown. Thank you. Let's take another look at Uber shares right now, because as you see, they earlier in the session had spiked and now still holding on to 3 % gains after the ride-held company announced it would offer users the chance to ride in robo-taxis from Amazon Zoox, starting in Las Vegas this summer. Earlier, the CEOs of both companies sat down with Ed in an exclusive interview.

28:18Caroline Hyde:That hasn't changed. We're doing that. And I've also told you that we'd be practical about our commercial deployment. This is a big market. And so talk to Dara in Las Vegas and L.A. We're really looking forward to bringing our experience and sort of this way to ride to the Uber platform in addition to also being available.

28:43Ed Ludlow:The way to ride is interesting. You know, Uber is not a ride. It is a platform, a marketplace for increasingly different kinds of rides. What is it, Dara, that you think you can help Zoox do that I guess they wouldn't otherwise be able to do on their own?

28:57Caroline Hyde:Well, we bring enormous distribution on a global basis. And I think that there's this narrative of it's either or. Either you go direct to your customer or you go through a platform. And the fact is, if you look, for example, on Uber Eats, you have some of the best brands in the world, whether it's a McDonald's or a Starbucks or Chipotle, having a direct interaction with customers through their own apps, but also using the platform to expand their distribution. And I see the same thing with Zeus as well. You know, Zeus is on his way to create one of the best brands in the business and transportation.

29:31Ed Ludlow:Which you've experienced recently, right? Absolutely. You went and took a ride.

29:33Caroline Hyde:It's a great experience. It's a purpose-built vehicle. And to have that experience on Uber, we think will only magnify what Zoox is bringing to the marketplace.

29:42Ed Ludlow:This is small scale in the first instance, right? You know, Las Vegas and where you're already active and then LA. The mechanics of it are interesting, right? Because as a rider, you are not guaranteed in the first instance that you can choose a Zoox. It's algorithmic. It depends on the circumstances for you to have. I think the language you use is the opportunity to be matched with the Zoox. I guess supply in the first instance is why you've pursued that plan at first.

30:11Caroline Hyde:Yeah, but really, no, because look, it's a platform. It's a global platform. It's available. You have all kinds of people who show up in Las Vegas. Some might know about Zoox, some might not. And the ones who don't probably know about Uber. So why not take advantage of that? That's really all it is.

30:30Ed Ludlow:This is early, but would you just explain, I guess, longer term what the business plan is? Is there a per ride revenue share agreement? How do you split the fare when you're able to charge a fare?

30:41Caroline Hyde:I think for us now, the focus is going to be the customer experience. We want to make sure that whether, obviously, the Zoox direct experience is going to be best of breed, but also having the experience through Uber is going to introduce you to the differentiated experience on Zoox as well. that's really going to be what Aisha and I are focused on.

31:02Ed Ludlow:I would say the economics take care of themselves over the long term. Data is going to be critically important here. So let's start, I guess, Dara, with what data sets can Uber provide Zoox that help them with scale and data sharing that you've got in place?

31:18Caroline Hyde:Well, we are certainly going to work with Zoox in terms of traffic patterns. And now Zoox is going to have access to that data directly as well. But I think the combination of the traffic patterns that we see and the customers that we see, whether local or international, along with Zoox's proprietary data, I think is going to help Zoox be even more efficient as an entity going forward. Yeah, and I'll add to that also the experience of dealing with things or just starting to deal with large events, things that Uber knows how to do in their sleep and will essentially speed up our knowledge of doing that.

31:55Ed Ludlow:That was Uber CEO Dara Khosrowshahi and Zook CEO Aisha Evans. Now, coming up, Michelle Volz, formerly of the American Dynamism team at Andreessen Horowitz, joins us to discuss her new fund and its focus on investing in technical superiority. What a conversation to come. This has been Beck Tech.

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33:55Ed Ludlow:The conflict with Iran. While it's highlighting a concern, some investors and many others have been flagging for a while. Expensive, hard to replace weapons are being used to counter cheap Iranian missiles and drones. Now today, Michelle Volz is joining us, who's a former member of the American Dynamism team over at Andreessen Horowitz. She's been investing in startups looking to address the costly, the slow, the sometimes missing parts of the U.S. industrial supply chain. And Michelle, you've just launched a new firm, Pax VC. You've raised$50 million. You're looking at early stage. But I'm really interested in just this moment that we're in of geopolitical tension, of conflict, and you as an investor in defense tech, but more broadly in supply chain and American dynamism, what do you make of this moment?

34:39Caroline Hyde:Yeah, I think the conflict has really highlighted the gaps that we have in our industrial base. We've outsourced a lot of our manufacturing overseas to China, and now we're realizing we need to be able to resupply our weapon systems, our components. We need to manufacture these things domestically in-house. We need to shore up our critical mineral supply chain. And so many of the companies that I'm investing at and looking at, whether back at Andreessen Horowitz or now, are really focused on this industrial base and making sure that we can, in any sort of future conflict, have the capabilities domestically to be able to fight back.

35:19Ed Ludlow:I mean, the name says it all because Pax, we think of Pax Britannica or Romana or Pax Americana of like sort of the dominance of one particular global force and the stability that brings. But you've talked about how in this competitive area that we're currently in, maybe Pax Americana isn't so solid, but you're looking at Pax Technica. So where in particular are you excited about? Which particular technology innovations have you found it worth to put your money in? Totally. And I mean, I think the name

35:48Caroline Hyde:impacts, like you said, says it all, where the eras of relative stability have been defined by who is in power and who has the most technological power. And I think for us in America to be able to ensure continued relative stability in the world, we need to make sure our robotic systems are incredible, our supply chain and our ability to mine and refine critical minerals. I invested in a mining company called Mariana Minerals that's working to reshore all of our capacity to bring all these critical minerals to the industrial base. I think looking around corners, what should we prepare against for future threats?

36:30Caroline Hyde:We should be looking at biosecurity and biodefense. We should be looking at all sorts of things on the AI and what that does for cybersecurity. And so I think there's an element of like, how do we reshore and re-industrialize? And how do we see around corners for what are the threats coming next?

36:48Ed Ludlow:Michelle, hi, it's Ed. It's good to see you. Welcome to the show. I'll go back to basics just for a second. So you were at Andreessen Horowitz and you were part of this American Dynamism team. And the thesis was like simply supporting the national interest. And you've decided to go out and do something almost solo, right? And I just wonder if you reflect a little bit on the decision making behind that, the pros and cons of going from such a big team within a big firm to doing this with PAX.

37:18Caroline Hyde:Totally. And Andreessen Horowitz is an incredible place. Some of the most brilliant people, lots of scale. But I love the early stage and I love the sort of zero to one when companies are just getting off the ground. And at that point, you don't quite need the firepower of a big multi-stage. You almost need a trusted partner in the trenches with you, helping block and tackle for all the small things, like getting a company off the ground. And then you can bring in these big multi-stage firms that have all these resources to really pour gasoline on the fire that starts burning. And so it's just my favorite stage to be, and I love being really, really close with the founders there.

37:58Ed Ludlow:Without putting words in your mouth, you talk about this idea that often the founders themselves, themselves, they're kind of ahead of the VCs that are backing them, even if they're like, you know, VCs that have the operator background or the founder background. How are you going to catch up? You know, how are you going to put yourself in a place where you are moving at the same rhythm or pace as the people you want to back?

38:20Caroline Hyde:Totally. I would say my style of founder that I like is somebody that has a lot of experience in the domain they're going after and a sort of unique view or unique right to win, even if that is the category that hasn't yet been mainstream or people have seen. Like the founders should be the ones dictating what is the future. And if you start to see patterns of, okay, a lot of smart people are working in this category, it feels like even if I haven't seen it, they are seeing something and I should really spend more time and get up to speed. But really it's all about having a network of experts in these domains to be able to bounce things off of and get the ideas, you know, solidified.

39:02Caroline Hyde:But like the founders should be the smartest people in the room. Venture capitalists should not be.

39:08Ed Ludlow:Michelle, just really, really quick. Did you take any portcos with you? Like, how does that work? We just have 15 seconds.

39:16Caroline Hyde:I invested through my fund in some of my old Andreessen Horowitz portcos, which was a very big honor for them to want me back on their cap table.

39:25Ed Ludlow:Appreciate that. We just wanted to check that one. Michelle Bowles, founder and managing partner of Pax VC. Thank you for your time. Carrie, we've got some more news. Yeah, it's time now for Talking Tech, Ed. And first up, Anthropic. But it's told a judge it could lose billions of dollars in revenue this year after the Trump administration declared the company a U.S. supply chain risk. Now, the startup made a case for urgency to the San Francisco judge a day after it was sued, it sued the Defense Department. Now, a hearing is set for March 24th. Plus Grubhub, well it's going to test drone delivery of takeout orders for the first time as part of a limited three-month pilot program in the area of Greenbrook, New Jersey, starting next week.

40:02Ed Ludlow:Now this is the company's latest experiment with automation technologies after using sidewalk robots on some US college campuses. And Nintendo. Shares gained as much as 10.5 % in their biggest rally since April as the surprise success of the new Pokemon game helped offset those worries about rising memory costs. Physical copies of Pokemon Pocopia have sold out at several major retailers in the U.S., with Amazon even raising its price to around$80.

40:34Ed Ludlow:Last year, Synopsys closed a$35 billion acquisition of engineering software firm Ansys. Now, the focus turns from integration to execution. We spoke with CEO Sussinghazi about how AI is transforming chip design and manufacturing. Take a listen.

40:51Caroline Hyde:What our customers are facing, beside the supply chain challenges and the global stress that we're dealing with, there's a shortage of engineering. They cannot get enough engineers to deal with that complexity. So AI helps augment the existing engineers. The second aspect of it, reducing the cost. You can reduce the cost by improving the yield. Memory is a fantastic example. No matter how much the memory companies try to expand capacity by building factories, you need to be able to have better yield. That's where we come in to help them design the actual physics of manufacturing with the design phase to improve the yield.

41:34Caroline Hyde:So those are the components and reducing the design cycle. Traditionally, chip design was 18 to 24 months. Now you have customers like NVIDIA and other talking about the design rhythm of 12 months. That is not possible without injecting AI everywhere in the flow. And when you go to manufacturing, you're able to improve your yield.

41:56Ed Ludlow:So, Sassim, what conclusions did you reach in recent weeks after the sell-off in software names about the long-term definitive impact that AI will have on EDA? You're one of the biggest EDA names, right? But you're not the only one.

42:14Caroline Hyde:Unfortunately, it was a naive approach to say that all software is the same. You're going to have some software where LLMs, foundation models, yes, is a perfect application to, let me call it, replace. But when you look at the engineering software, I'll go back to the physics aspect of it. We run, we code, and we deliver software to our customers, but that's not the moat. The key differentiation are the solvers to translate from an architecture design to an actual manufacturing product. So I believe it was absolutely an overreaction by putting every company that delivers software in the same categorization.

42:57Ed Ludlow:Synopsis CEO, Sasin Ghazi there. Let's turn our attention to Google now. And it's aiming to battle AI slot videos on YouTube and YouTube Kids. By backing companies, it sees it actually creating high quality AI content. This includes a very small but focused$1 million strategic investment in an AI animation studio, Animage. Let's get more with Alexandra Levine, who covers social media for Bloomberg. Look,$1 million is but nothing to Google, but it's saying something about what content it wants to back.

43:28Caroline Hyde:Exactly. $1 million is nominal, not only for Google, but also for the company, which has raised a ton of money over the last several years. But I think what is significant about Google's backing of this company, Animage, is that it is really making a bet that AI can be used to make really strong quality content for children who are using both YouTube and YouTube kids. They have had a problem over at YouTube, especially over the last year or two, with AI slop and with content that a lot of parents and child experts think is more exploitative than educational for children. And so this is really a swing to try to take that on.

44:02Ed Ludlow:Alex, for the Blumeo Tech audience, what is AI slop?

44:06Caroline Hyde:AI Slop is what we are now often calling spammy, clickbaity, repetitive, low-quality, slimy-looking content that you see not only on YouTube, but also on pretty much every major social media platform at this point. And it is often repetitive, something that I think is particularly concerning for younger viewers because they are really developing their brains at early ages when they start watching a lot of this stuff. And so that's why there has been a bit more attention on AI slot for toddlers, babies, and children.

44:39Ed Ludlow:I mean, Animage, co-founded back in 2022, is an extraordinary, like billions of views. Why is it the first kids media business for Google to build?

44:48Caroline Hyde:So it is not the only kids media business out there. I think the biggest, probably best known competitor of Animage is Moonbug, Moonbug Entertainment, which is the company behind things like Cocomelon and Blippi. But I think that if you look at some of the Google AI accelerators, other investments, you'll see that they are very much focused on other companies in the media space. This is the first, I think, focus on the kids space, which I think says a lot about its priorities for 2026.

45:15Ed Ludlow:Bloomberg's Alex Levine. Thank you very much. Jam-packed, but that does it for this edition of Bloomberg Tech, Cara. Yeah, don't forget to check out the podcast. You can find it on the terminal. You can also find it online on Apple, Spotify, and iHeart. From New New York and San Francisco. This is Bloomberg Tech.

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