In short
AI spending ripples across the tech stack, tied to recent earnings (Broadcom, Snowflake, HPE), plus major AI-company and autonomy deals: NVIDIA acquiring Hugging Face; Wave partnering with Uber for robo-taxis in London; and additional model/market updates (Meta’s new closed model; chatbot outages).
Guest backgrounds
- Lei Chu, Chief Investment Officer at AllianceBernstein (Manic Innovation Equities).
- Thomas Wolfe, Hugging Face co-founder.
- Alex Kendall, Wave CEO.
- Sridhar Ramaswamy, Snowflake CEO.
- Antonio Neri, HPE CEO.
(Also interviewed/mentioned: Dina Bass, Dina Shanker, Riley Griffin—reporters.)
Key claims
- AI demand is outstripping supply across chips and infrastructure; adoption is broadening into software/cybersecurity.
- Hugging Face will remain open, compute-agnostic; co-founders and team stay; community keeps cloud/inference choices.
- Wave’s London launch is supervised first; path to driverless via scalable vehicle platform, safety validation, and regulator permits.
- Snowflake’s AI products (Cocoa, Cowork) create a flywheel: more data onboarded → more consumption.
- HPE raised guidance due to durable AI server/network demand; order demand outpacing revenue.
Notable examples
- Broadcom: AI chip growth forecast tied to customers Anthropic/OpenAI; competition from Google TPU and NVIDIA-backed rivals.
- Snowflake: Cocoa included for free; benchmarks claim 5–10x faster Snowflake jobs; Indeed deployed Cocoa/Cowork in 60+ countries.
- Hugging Face: scaled to 3M models on the hub; 18M users; 200k companies using it.
- Wave/Uber: robo-taxis in London with a human safety driver; plan to scale to Tokyo and 10 cities.
- Meta: launched a closed model positioned as competitive for coding/agentic tasks.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOAnalyzing AI Spending Trends
2:12 to 3:01
A breakdown of AI spending trends based on recent earnings from tech companies.
“Plus, NVIDIA has agreed to acquire Hugging Face in a transaction valued about$13 billion.”
Broadcom's AI Chip Growth Forecast
3:03 to 4:34
Discussion on Broadcom's AI chip growth forecasts and market reactions.
“We're going to speak to the CEOs of Snowflake and HPE later in the hour.”
Competition in the AI Chip Market
4:36 to 5:44
Exploration of competition between Broadcom, OpenAI, and other players in the AI chip market.
“The stock's down 6 % right now, pretty much on track for its biggest drop since the first week of June.”
Chatbot Outages and Implications
5:47 to 6:17
Addressing recent outages in various chatbot platforms and their implications.
“We're going to break down the other earnings.”
Strong Evidence of AI Adoption
6:34 to 10:10
Insights into the strong demand for AI and its adoption across industries.
“Our next guest says we're seeing strong evidence of AI adoption and broadening from hardware to select software at the infrastructure layer.”
NVIDIA's Acquisition of Hugging Face
10:27 to 11:21
Discussion with Thomas Wolfe about Hugging Face's acquisition by NVIDIA and its implications.
“Coming up, NVIDIA is going to acquire Hugging Face in a transaction valued at about$13 billion.”
Operational Strategy Post-Acquisition
11:22 to 14:03
Hugging Face co-founder explains the operational strategy and community impact post-acquisition.
“So, I mean, the first thing to say is we are staying indeed like all the three co-founders are staying.”
NVIDIA's Acquisition of Hugging Face
14:03 to 19:58
Discussion on NVIDIA's acquisition of Hugging Face and its implications.
“There are so many things we can do here that let's go all the way.”
Sleep Support Industry Insights
20:03 to 21:06
Overview of the burgeoning sleep support industry and consumer trends.
“Social media posts on sleep outnumber those on exercise by 3 to 1 and those on diet by 5 to 1, according to consumer researcher Ryla Global Consulting.”
Sleep Support Industry Insights
21:21 to 24:47
Overview of the burgeoning sleep support industry and consumer trends.
“What if you could have even more and more and more help to pursue your goals?”
Show all 21 chapters
Wave's Robotaxi Launch in London
26:15 to 28:00
Discussion with Wave CEO about launching robotaxi services in London.
“And this is a pretty proud moment for us.”
Meta's AI Model and Business Strategy
28:00 to 29:46
Explore Meta's latest AI model performance and its business model strategy.
“But very simply, Meta is out with a powerful model.”
Snowflake's Revenue Surge and AI Impact
29:46 to 36:20
Discuss Snowflake's impressive revenue growth driven by AI innovations.
“Snowflake reported its second quarter earnings yesterday after the closing bell, beating analyst estimates and raising its full year forecast for product revenue.”
Investments in SpaceX and Market Updates
36:20 to 38:55
Updates on SpaceX investments and current market news in AI models.
“A piece of news that we broke this morning.”
HPE's AI Demand and Earnings Report
39:00 to 40:03
Discuss HPE's strong quarter and raised forecasts amid AI demand.
“Social media posts on sleep outnumber those on exercise by 3 to 1 and those on diet by 5 to 1, according to consumer researcher Ryla Global Consulting.”
HPE's AI Demand and Earnings Report
40:16 to 40:40
Discuss HPE's strong quarter and raised forecasts amid AI demand.
“With LPL Financial, we provide the services to help push you forward.”
AI Infrastructure Developments and Market Impact
42:00 to 46:31
Learn about HPE's strategic expansions and the demand for AI infrastructure.
“But it had been down 12%, which would have been the biggest drop since April 2025.”
Upcoming Trends in AI Regulation
46:31 to 46:52
Explore the G20's approach to AI regulation through the Carolina Principles.
“HPE CEO Antonio Neri, thank you so much for your time this morning on the earnings beat.”
Tesla's Stock Surge and CyberCab Event
46:52 to 48:16
Discuss the recent rise in Tesla stocks and the upcoming CyberCab event.
“A framework for light-touch regulation of AI has been agreed to by the members of the G20 out of a tech and innovation summit held in North Carolina.”
Talent Movement at Blue Origin
48:16 to 50:42
Learn about the shift of Amazon veterans to Blue Origin and its implications.
“Over the last year, dozens of veterans of the Amazon Leo satellite venture have moved to Blue Origin.”
Talent Movement at Blue Origin
52:01 to 52:20
Learn about the shift of Amazon veterans to Blue Origin and its implications.
“Aging is real and so are the benefits of.”
Transcript
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1:47Bloomberg Tech is live from the heart of Silicon Valley with Ed Ludlow in San Francisco.
1:56Ed Ludlow:This is Bloomberg Tech coming up from chips to servers to software. AI spending is rippling across the tech stack. What earnings from Broadcom, Snowflake and HPE tell us about the strength of the AI boom. We'll discuss with the CEOs of Snowflake and HPE later this hour. Plus, NVIDIA has agreed to acquire Hugging Face in a transaction valued about$13 billion. We speak with Hugging Face co-founder Thomas Wolfe about the deal. And self-driving tech startup Wave reaches a deal with Uber to offer robo-taxis in London with a human in the driver's seat. Wave CEO, later this hour. This is what technology stocks are doing.
2:34Ed Ludlow:High on the NASDAQ 100, modestly, six-tenths of 1%. It is earnings from software to chips to other parts of the infrastructure stack that we're focused on. In Snowflake's case, this is a blowout. The stock is on track for its best day since May and trading at a 2021 high. AI is translating into faster growth. The revenue outlook up to$6 billion for the year. HPE, strong AI server demand, but not as strong as Dell. And there wasn't the read through from that name. We're going to speak to the CEOs of Snowflake and HPE later in the hour. Then there's Broadcom, huge AI chip growth ahead, doubling in fiscal 27, doubling again in fiscal 28, but not huge enough for this market.
3:16Ed Ludlow:And that's where I want to start today's show. Let's get more with Bloomberg's Dina Bass. Broadcom is a custom silicon story, right? And they posted some big numbers in terms of what's going to come. But it just wasn't enough for this market. It was a high bar. Sure. First of all, their forecast for the current quarter, their fiscal fourth, was pretty lackluster in terms of both regular sales and AI chip sales. And so that came out initially right after the bell and the stock headed downward. Then we got into the call and CEO Hawk Tan gave the forecast that you just repeated about, you know, AI chip growth for fiscal 27 and 28 doubling each year, which, you know, again, seemed to at the time please investors more.
3:58The stock started coming back. But this morning, it's back down again. And, you know, there are some concerns. One, in light of NVIDIA's blowout quarter last week, that neither the Q4 numbers nor perhaps the forecaster may be good enough compared to that. Two, some of this was priced into the stock already. There's also concern being raised about where that AI chip growth is coming from. You know, Tan basically said that most of it is coming from Anthropic and OpenAI, who are set to become the company's number one and number two customers in 27 and 28, respectively. So there's some concern about those two as the customers.
4:36Ed Ludlow:The stock's down 6 % right now, pretty much on track for its biggest drop since the first week of June. $115 billion in fiscal 27 on AI chips,$230 billion in fiscal 28. those are big numbers, but like NVIDIA is doing now$100 billion of revenue overall in a quarter. You know, is there any sense that this custom chip game is chipping away at NVIDIA's lead in that market, that they're gaining market share on Broadcom's side? It does seem to be chipping away at pieces of it. You know, we've had a lot of discussion from OpenAI over the last couple of weeks about the ways in which they are going to use the custom chip that they're building with Broadcom.
5:16But also at the same time, OpenAI will talk about how much NVIDIA they're using. So, you know, there is that. The other issue for Broadcom is that even in the custom chip market, they're facing greater competition. Google TPU had been their largest customer. It still is, but it's set to be replaced by Anthropic. And Google just signed a deal with Broadcom's competitor, Marvell. Also more competition for Broadcom for MediaTek. Both of those companies are backed by NVIDIA.
5:43Ed Ludlow:Bloomberg's Dina Bass, thank you very much indeed. Stay with Bloomberg. We're going to break down the other earnings. We're going to speak with the Snowflake CEO, Sridhar Ramaswamy, and the HPE CEO, Antonio Neri, later this hour. By the way, when we came to air, there were some headlines on the Bloomberg terminal about chatbot outages. Curiously, the headlines all hit at the same time. Down Detector is saying that users are reporting issues with open AI platforms. SpaceX AI is saying that Grok is experiencing issues and is investigating the outage. And Anthropic is saying all within the same time span, it's investigating clawed errors and working on a fix.
6:23Ed Ludlow:Those all hit the Bloomberg terminal literally at the same time before the show started. We're trying to work out what's going on with all of the chatbots around the world. Let's get back to the AI story. Our next guest says we're seeing strong evidence of AI adoption and broadening from hardware to select software at the infrastructure layer. That's clear evidence of it is AI becoming increasingly integrated into business models. Alliance Burns seems for Manic Innovation Equities. Chief Investment Officer Lei Chu is back with us on Bloomberg Tech. The common theme across all of those earnings we outlined, Lei, is that AI demand seems very strong.
6:58Ed Ludlow:Is that what you see? Yes, in fact, we continue to see AI solidly moving into the adoption phase. And at this moment, when you look across the board, the general trend actually is demand is outstripping supply. So when you see companies actually from the commentary versus the numbers, the common thing what we are seeing is that demand is so strong that supply simply cannot keep up. And that's not just for this year, but it's for multiple years to come, whether it's at the chip level or other parts of the infrastructure as well. Leigh, I want to go back to NVIDIA last week just as an illustrative example because they said that they would have top-line growth of 70 % in the next fiscal year.
7:43Ed Ludlow:But that was a forecast modeled on supply, their ability to supply, not growth modeled on demand. I found that math very interesting. How did you interpret it? Yes. And then so this is actually we're at a very interesting moment. and then the moment where you're seeing some volatility in the market as well. The market, by and large, we often, generally speaking, we reward beat and raises. And we want to see estimate revision, particularly in technology sector and fast-growing sectors. But when currently where you were in this really interesting dynamic where the demand is so strong, but we simply do not have enough supply to support that.
8:21So we're in this interesting transition phase where, for the near term, you don't see as much estimate revision, even though the demand outlook is extremely strong. But that just means, you know, we just have to look at everything in the context of valuation as well. And then in the context of horizon, you know, when we think about long term durability of growth and profitability and combine that with a reasonable valuation, and that's when you find the best performing stocks. And that's what we are really focused on.
8:53Ed Ludlow:We started the conversation with your writing about how this is broadening out, right? Basically from chips to other layers of the stack. How do changes in portfolios reflect that right now? I think we are in the adoption phase. So when you're in the adoption phase and then you look back, we started simply at the physical infrastructure layer. But as we moved to adoption phase, and you've already seen it, we went from the broadening out, even at the infrastructure layer, we have gone from simply GPU to TPU to CPU to the networking layer. But now we're in the phase where you're also seeing, as enterprise and consumers are starting to use more AI, you will see opportunities at the infrastructure layer, at the software layer, at the cybersecurity layer, and many other areas as well.
9:39And actually, I also think we're starting to see evidence of AI being adopted in some of the industries. So if you look, so far, what we have seen is some industries, such as Infotech Financials or healthcare. These are historically some of the fastest adopters of new technology. And we do believe that AI is once-in-a-lifetime transformative technology. Whoever used it to their advantage will be able to increase their profit pool, accelerate their growth. And we're actually seeing early evidence of that. So you see the portfolio naturally transition following along this type of transformation and along the curve of adoption.
10:21Ed Ludlow:Alliance Bernstein, Thermatic Innovation Equity, CEO, I laid you back on the show. Thank you very much indeed. Coming up, NVIDIA is going to acquire Hugging Face in a transaction valued at about$13 billion. We're going to speak with Hugging Face's co-founder, Thomas Wolfe, about the deal. This is Bloomberg Tech.
10:44Ed Ludlow:NVIDIA has agreed to acquire Hugging Face in a transaction valued at about$13 billion, confirming earlier Bloomberg reports. Here to discuss is Hugging Face co-founder Thomas Wolfe back on Bloomberg Tech. There's a piece of this that's really interesting, that Hugging Face continues to be Hugging Face, right, Thomas? Owned by NVIDIA, but is an open platform. Could we start with the mechanics of that? How Hugging Face is going to run under the proposal that you and Clem and the others agreed? do you and Clem stay with Hugging Face and the specifics of how you're going to structure this? Yeah, of course.
11:22So, I mean, the first thing to say is we are staying indeed like all the three co-founders are staying. You know, we are doubling down with six years, at least, retention at Hugging Face. And the idea is all the team is going to join. And the goal is really, as Jensen said it in his tweet and interview this morning, and as you can read it on the blog post as well, is to keep an open, independent, compute agnostic platform and infrastructure for Hugging Face. So practically for our user, this is going to change really very little. The main difference is we'll have the backing, this power of NVIDIA to be able to double down and to accelerate our work.
12:12Ed Ludlow:What is it that Hugging Face is going to be able to do now, Thomas? like either scaling or in the speed of movement that you just wouldn't have otherwise been able to do independently? I think we've been extremely efficient along our journey. You know, we've been able to, we've raised, you know, a very minimal amount if you compare to any AI company nowadays. We've raised less than half a billion dollars. I think we've been able to achieve amazing results with that. We scaled to 3 million models on the hub, We have like 18 million users. We have 200 ,000 companies using us. And I think the idea is now what we realized this year was that on the one hand, open source was having a huge moment.
12:59Like open source was really on the rise. And also when we were attacked, you remember earlier this summer, we realized that open source was actually critical for safety and critical for many aspects. happy to dive into that from safety to company being able to do research to basically a company being able to own their data and we thought okay we have a few choice here either we raise more money and we double down or we find someone who share our value share our mission very deeply and we partner with them we were very lucky that Jensen was acting receptive to this discussion.
13:38Ed Ludlow:so it sounds like you know hugging face looked at the strategy for the future and approached nvidia or jensen and nvidia approached hugging face yeah we approached him a very open discussion i think everything was on the table um we we often have you know this this offer to invest to to basically raise more money and the discussion was okay where should we go and at some point we We're so aligned. There are so many things we can do here that let's go all the way. What was interesting, as outlined by Jensen in his various communications, like, for example, a blog post on LinkedIn, is that the hugging face community will still have the same choices, right?
14:23Ed Ludlow:Including the cloud platform backing, the inference platform. In other words, there is no mandatory requirement to use NVIDIA Compute. was that something that you guys on your side insisted on or what you know what's the backstory to that yeah i mean we'll we'll talk about that but yeah the idea really here is jensen believed like us in the power of community the power of collaboration you know he wrote this great letter about open source model he thinks really widely we have this same you know wide scope of of of thinking we think there is a huge collaboration that we think actually open source models have to be built through collaboration that transcend normal competition so here also there is a very there is a very big alignment in how we how we think about these problems now the exact specifics will will be defined you know will very soon this is a slight tangent or an aside but you know last week you're on the show with me and we were talking about your robotics business how does the robotics business transfer with nvidia because you had massive demand for micro duck quite quickly nvidia has got massive scale they are a hardware company as well you know explain the opportunity there yeah i think you're also the same you know you've seen jensen on stage with uh with with some ducks you know there was this Disney, not really Dux, but what they were called GDX robot last year, GT.
16:00We know Gensel also love robotics. We love robotics as well. We see here also it's very, you know, it's something that we can keep developing very similarly to how we've been building it at Hacking Phase. I think the surprising news for us was that this robotic release almost eclipsed or even, you know, was even more successful than some rumors about the join, the acquisition. And so it's, I think, a good indication of how we'll be able to manage these different things going on
16:34Ed Ludlow:for the world in the future. Thomas, this is a deal, right? $13 billion,$1 billion of which is tied to employee retention through stock. How did this discussion go around regulation, antitrust? How do you think that your competitors, NVIDIA's competitors will view this deal and what level of confidence or concern is there on this passing through the regulatory process with ease? Yeah, all of that is a bit early to tell you. And so, right, we announced this just today, Ed. I think it's a process we'll see. We're quite confident. We think, you know, there is a a really nice path where basically Hugging Face continue to operate as this independent, open platform that's been in the past.
17:25We think this is a very good direction. It makes a lot of sense. Now, you know, I'm not yet to be answering
17:35Ed Ludlow:really deep regulation questions right now. Okay, Thomas, I appreciate that. Very quickly, what do Hugging Face staff feel about this? What's the response internally then? I mean ecstatic you know you maybe saw the picture we shared on Twitter you know Jensen joined our hands for a lot of the team members it was kind of a once in a lifetime opportunity basically to talk with Jensen and having I think that the whole team is really very excited about this new direction everyone is ready to go 10 years again like building to the next step of open source models. We think this is a great chance for the whole open source model ecosystem, to be honest.
18:21We think it's kind of incredible.
18:23Ed Ludlow:Thomas Wolfe of Hugging Face, back on the show a week later after confirmation that NVIDIA has acquired Hugging Face for about$13 billion. Thank you so much. Coming up, we're going to go to London. London riders are about to get robo-taxi access through the UK capital. We're going to talk to the CEO of Wave about a deal with Uber that's making that possible. This is Bloomberg Tech.
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21:38Ed Ludlow:Self-driving technology startup Wave has reached a deal with Uber to offer robotaxi rides in London with a safety driver. It's the latest move in the global race to commercialize autonomous ride hailing. Wave CEO Alex Kendall is back with us on Bloomberg Tech. You know, Alex, in covering this industry, I know that this is a source of frustration. But the first question is always, what's the path for the safety driver coming out of the vehicle? Take that and explain the London case study to us. Hey, Ed. Well, firstly, as you know, London is an incredibly difficult place to drive. It's a 2 ,000-year-old city.
22:15It's full of narrow roads, frequent pedestrians and cyclists. And so I'm delighted that we've been able to bring our technology here. We've been learning to drive here for a decade. And it's, I think, one of the hardest places in the world to learn to drive. But we're starting with a supervised service this week with safety operators. And the path to launch a driverless service is really three things. The first one is to move to a scalable vehicle platform. You know, our business model works with automakers so that they build the robo taxis, no retrofits or built-in mass production hardware. Second, of course, validating the safety metrics we need for driverless operation.
22:52And third, we've got a permit today for supervised operations, and we're working with regulators towards a driverless permit.
22:59Ed Ludlow:So those three things which we're working on very quickly over here in London. At the same time, you know, you have multiple projects in parallel, right? There is the driverless platform of Nissan, for example, where there's a future in London, but other cities come into play in the R &D of that. Explain that relationship. yeah that's right we've um we've looked to build a business where we want to provide intelligence across anyone who wants to build intelligent machines and uniquely we've got an ai that can scale from consumer vehicles to robotaxis so we are deploying our ai and consumer vehicles with a number of leading automakers like nissan and stellantis and of course uh as of today starting robotaxi services today in london and by the end of the year we'll be scaling this to tokyo and we've agreed with Uber to take it to 10 cities beyond that as well.
23:48Ed Ludlow:It's amazing. Alex, it's been almost 10 years since I left London and moved to SF. What's your relationship like with that city, with the mayor? But also, you know, under a new government with Andy Burnham, is there a pathway for sort of comprehensive framework regulation for your industry in the UK and other UK cities? One thing people might not realise is that earlier this year, the UN published a technical regulation that allows for a global framework for higher levels of autonomy in consumer vehicles and robotaxis. And many countries around the world, UK, Europe, Japan, all sign up to these regulations, and they also provide a basis for in the US as well.
Read the full transcript
24:29So this is fantastic. And then the UK itself has been adopting these. There was an act passed in 2024, and we've been working with Transport for London and government here to bring this into fruition. So, you know, we're pretty happy with how this is growing. And London is one of Uber's five largest markets by revenue. So, it's a really important market to bring autonomy into. I think Londoners are going to love this service. And what we've got is a, you know, is a safe and responsible plan to bring this technology, introduce it to
24:58Ed Ludlow:Londoners and people through the UK with regulators here. You know, the Uber relationships, key to underscore rights through the Uber app. You said a moment ago that there's a plan for 10 cities with Uber going forward. Are any of those cities in the United States, Alex? We will be bringing it globally, including to the US. We haven't announced any other specific cities yet, but stay tuned. I'll give you a call when we do. Ed. Real quick, how are you guys doing on the funding side? There was reports that some Wave staff sold off stock on the Pisces exchange, for example. Is that an employee liquidity thing?
25:34Ed Ludlow:Are you out there doing secondaries? What's going on? Yeah, we're well funded. We've got, we've raised almost$3 billion of cash. We just did our second employee liquidity round. We've got a great global team. And actually, you know, one of the things I think we're well set up to do is, you know, to really continue with our frontier embodied AI science. We've been the first team to build vision language action models and world models for robotics and now bring this new contrarian approach to the technology to market. as well, of course, continuing to grow in production applications like in consumer vehicles all around the world and for robotaxi services.
26:11So it's full steam ahead. It's been a phenomenal year for our team so far.
26:15Ed Ludlow:And this is a pretty proud moment for us. Alex, just very quickly, what you just said, world models, remind the audience what Wave's core competence is. What we've built is an end-to-end AI driver. So it's a single neural network that's capable of reasoning and making decisions in real time. it can generalize across any vehicle we work with small large vehicles all around the world we're the first company to have driven this technology in over 500 cities zero shot so no high definite maps it's an ai that's capable of driving any vehicle all the way around the world alex kendall wave ceo back on the show it's great to have you now deployed modestly in london coming up snowflakes earnings beating analyst estimates a big move in the stock we're going to speak to the CEO, Shredo Ramaswamy.
26:59Ed Ludlow:That's next. Halftime here in the city of San Francisco. And this is what markets look like. This is Bloomberg Tech.
27:10Ed Ludlow:Welcome back to Bloomberg Tech. And that's that 100 really tech heavy index pushing up to session highs, a gain of more than 1 % now. A lot of what's happening in the market is Fed speak and what the Fed will or won't do in terms of the outlook for rates. But earnings is also like a very big part of this story. Elsewhere, what is happening in the release of different generations of AI model, also massively important. Meta's up 4%. Okay, this one was a big news item this morning. It's launched its latest and most powerful AI model to date, with the company's chief AI officer hailing it as, quote, competitive with Anthropix model and, quote, better than OpenAI's GPT 5.6 soul, particularly when it comes to coding.
27:53Ed Ludlow:Bloomberg's Riley Griffin's with us. Yeah, you know, I did to double take at the screen right on the stock move because I was like, is there a direct causal relationship here? But very simply, Meta is out with a powerful model. They're talking it up and the market seems to believe them. What do we need to know? Yeah. Chief AI officer Alexander Wang and I spoke yesterday and he is saying this is the biggest performance jump to date, putting it on par with competitors like OpenAI and Anthropic, performance improvement for coding and agentic capabilities. Notably, this is not the highly anticipated model from Meta called Watermelon.
28:28Yes, you got that right, Ed. It is Watermelon. It's still coming. Alex wouldn't speak to when, but that's going to be the big model release. Some have said towards the end of the year, this is not that, but it's a big improvement. Okay.
28:42Ed Ludlow:So like the business model for Meta is so interesting. With OpenAI, you have ChatGPT. With Anthropic, you have Claude and the coding tool. How does Meta charge or get people, everyday people or businesses, to use these powerful AI models? Yeah, so they are charging this as a closed model. That means developers can't just download those building blocks and build upon it. It's going to cost as much as the prior version, MuseSpark 1.2. Developers can access it via its API platform. That's essentially a way to use Meta's services via Meta. this is not the open source kind of technology that Mark Zuckerberg has preached in his most recent manifesto that 6 ,500 word document that he put out in which he promoted open source so that's kind of notable here they need to show a return on investment for the billions upon billions that they're spending to try to catch up.
29:40Ed Ludlow:Blinberg's Riley Griffin on Meta which is up 4%, more than 4 % in the session. Thank you so much. Snowflake reported its second quarter earnings yesterday after the closing bell, beating analyst estimates and raising its full year forecast for product revenue. Shares right now up almost 20 % on track for their best day since late May and trading at their highest level since December of 2021. What's going on? Let's speak to Snowflake CEO Sridhar Ramaswamy. You've had three straight quarters of accelerating product revenue growth, And it seems a strange question, Sridhar. Good morning to you. Welcome to the show.
30:15Ed Ludlow:How much of that is AI? Hi, Ed. Good morning. Yeah, indeed. This quarter was pretty amazing for us. $1.49 billion in product revenue of 37 % year on year. We are doing this while also expanding operating margin by 400 basis points to 15%. About half of the beat, the overperformance came from AI. And what's nice about this moment is that AI is actually driving a nice feedback loop because more customers are bringing data onto Snowflake using our AI products, Cocoa and Cowork, to get things done, which in turn is driving consumption on the platform, which sets up this very nice flywheel of people wanting to do more with Snowflake.
31:00And it's an effect that's pretty profound. It also gives us confidence about where we are headed. That's why we raised the full year guidance by 5 % to 36 % for the year. What is Cocoa? Cocoa is a coding agent for data. It comes as part of Snowflake. I've used it to write software as well. But what it specializes in is any job that you want to do with Snowflake goes 5 to 10 times faster using Cocoa.
31:28Ed Ludlow:Yeah, I know the answer. I was reading so much because the surprise that jumps out of the page, right, is the momentum. 2 ,000 accounts added in that quarter. The overall usage is really high in a market that is competitive. There are many coding agents out there. Why do you think that Coco is standing out, Shrida? Because it's the easiest sell for Snowflake as a company. I literally go to our customers and say, if your data team uses Coco, you can make things go 5 to 10 times faster. And we publish benchmarks on this. We are good at what we do. Compared to off-the-shelf models and even harnesses from the foundation labs, Coco is just a lot more effective on snowflake jobs because it understands so much about snowflake.
32:15And that's really the magic. Plus, we don't have things like per-user subscriptions. And a lot of the other products do. Coco is included for free with snowflake. It's a consumption model. and it just makes this a very, very compelling product for every data team on the planet.
32:32Ed Ludlow:That business model is interesting. So if you added 2 ,000 accounts in one quarter, where does that show up or translate into revenue growth? First of all, it shows up in AI revenue because people that are using Cocoa consume tokens. That's the first starter effect. But the bigger effect is that they are doing all kinds of things on Snowflake. They are bringing more data into Snowflake. They are optimizing and debugging their pipelines. They are setting up things like interactive tables that can power dashboards. They are creating agents that go into coworker and can get deployed to business users.
33:10It's the second and third order effect of Coco that's most interesting for Snowflake.
33:16Ed Ludlow:Remaining performance obligations, RPO, came in below at least Wall Street's consensus estimates and expectations. how would you ask the market to interpret that figure or what kind of emphasis would you put on it? I wouldn't put a lot of emphasis on it. We are seeing this trend where the bigger renewals are getting pushed out by a quarter to the latter part of this year. We are pretty confident that RPO will increase, especially in Q4 by a lot. Revenue is the leading indicator that drives everything. And as you know, that's very, very healthy. We talked about Coco in the context of the other coding platforms that are out there.
34:00Ed Ludlow:Generally speaking, a lot of the analysts ask about Databricks, right? And Databricks is talking about, you know, it's 80 % growth, crossing$7 billion in ARR. Where are they doing well against you? Where do you feel you're doing well against them? It's a big market, first of all. Our strength has always been in the context of a cohesive, easy-to-use, trusted data platform. Their heritage is more that of catering to developers, wide open code bases, sprawl of data, and not as much attention paid to things like governance and disaster recovery. and Snowflake is the place where enterprises have put their most valuable data, the one that they use to run their business, which is what sets us up super well to move upstream.
34:52Yes, technology is important, but I have so many meaningful conversations with our customers about how we can transform how their sales teams operate or how we can help them optimize their supply chains. I would say that we are leveraging AI to do the kinds of things that we honestly would not have imagined possible three years ago. I'm very happy with where we are headed. Snowflake is becoming a lot more than a tech provider that's largely invisible.
35:19Ed Ludlow:We're able to drive real outcomes for our customers. Sridhar, I like that. AI is clearly driving more usage of Snowflake. So slightly differently, what can a customer do today with their data within Snowflake that they weren't able to do even a year ago? Yeah, if you look at customers like United Rentals or Indeed, which is among the world's biggest job sites, Indeed has rolled out Cocoa and Cowork to their employees in over 60 countries and 28 languages. ready access to data, ready access to reasoning, ready access to being able to do anything else that the data team wants to do on top of Snowflake that simply would not have been possible a year or two ago.
36:07That represents the frontier of what is possible with AI and data today.
36:12Ed Ludlow:Snowflake CEO Sridhar Ramaswamy, the stock up 20 % on track for its best day since May, highest level since December 2021. Thank you so much. A piece of news that we broke this morning. One three seven ventures early bets on SpaceX are proving worthy with the twenty twenty fourteen vintage fund of SpaceX now worth more than eight times the money that investors originally put into it. That's net of fees and other charges. Investors received back or distributed two point five billion dollars worth of the space company shares last quarters by one three seven. And a source says the venture firm's total assets under management is now over$20 billion, which includes investments in Anduril and Cognition.
36:54Ed Ludlow:You'll remember 137 was one of the big sort of winners of the SpaceX IPO that we covered on the show at the time. A quick update on what's going on with various AI model outages that we started the show with. OpenAI is now saying it's applied mitigation and is monitoring recovery of its platforms. And Fropic has just said several of its models have recovered after experiencing errors, but the companies continue to work to address disruptions, particularly with its Opus 4.8 and Opus 5 offerings. Grok, the chatbot from Elon Musk's SpaceX AI, is also confronting outages. That's according to the company's status page.
37:30Ed Ludlow:Coming up, HPE shares are falling despite booming AI demand and a raised outlook. We're going to speak with HPE's CEO, Antonio Neri. This is Bloomberg Tech.
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40:39Ed Ludlow:HBA shares under a little pressure, despite a strong quarter and an even better outlook. Revenue jumped 34%, fueled by demand for AI infrastructure. but was still a little short of Wall Street's expectations that were very high. Joining us now is HPE CEO Antonio Neri. Actually, for me, like, you raised forecasts, like, a lot. What were the reasons behind that? What's changed? Well, good morning, Ed, and thanks for having me. First of all, we are incredibly proud of the results we posted. And the results are a reflection of the exceptional demand we see and the excellent execution by our teams, which, you know, when you think about the underlying drivers of that, the strong demand in networking, strong demand in traditional servers, and expanded profitability.
41:28But what we're doing is raising the demand on the confidence on that durability, which gave us the confidence not only to raise, once again, you know, our guy for 26, but also the guy for 2027 on a bigger base. So for us, it's to continue to stay focused on that. And the stock reaction is day one. But look, it takes some time for investors to digest it. But we are not worried about that. Generally, it tends to recover very, very quickly.
41:58Ed Ludlow:Yeah, right now the stock's down 6%, which would be its biggest drop since late June. But it had been down 12%, which would have been the biggest drop since April 2025. You talked about a specific contract with an unnamed hyperscaler. This is a market where people want the details. So I ask you, who is that hyperscaler? But what is significant about that arrangement that the market should be excited about it? Well, there were two news yesterday that I think the market should be very excited about. One is the strategic expansion with Oracle, which will allow us to actually build a gigawatt scale infrastructure as Oracle continues to grow their AI footprint.
42:43And that will include all our HP Juniper products, meaning scale-out QFX switches and scale-across, which are PTX routers. That demonstrates the level of innovation and time to market with the latest technology. So we're very proud about that. And that's a driver into the future. And even in that business, we have not even considered yet the yet-to-be-released Helio stack, which will include scale-up switches. On the cloud and AI, you reference to that multi-billion dollar deal with a hyperscaler. We cannot share because of you. Yeah, it is a traditional server contract. But interestingly enough, it's going to be used internally.
43:27So think about the hyperscaler as an enterprise customer who is going to use our servers to do their own AI inferencing for their own needs. And that's, again, another proof point that we have the technology to support any customer in any use case. So we are excited about both. And that's why it points to durability of the demand, because the other trend that we have seen is huge growth in enterprise on adoption of AI.
43:56Ed Ludlow:Antonio, I don't know if it makes it any easier for you, but I did ask Jensen Wong about circular financing earlier this week on the show. in the Oracle arrangement, Oracle gets warrants. And so inevitably the questions are raised, is this or is this not circular financing? The warrants we are providing actually scale with the amount of infrastructure we're going to build. So as more infrastructure gets deployed, the warrants come with it, which means it strengthen the partnership between the two companies to grow together. And so we both will benefit. It's not the circular financing you're referring to, but it's about incentives on both sides to grow together.
44:40Ed Ludlow:Let's get away from the numbers and just ask, what's the story here with what's happening in AI build-out, right? When NVIDIA had its earnings last week, they gave a growth forecast that was modeled with supply, their ability to supply the market. And the status of demand running ahead of supply is quite well known. What is the situation for HPE? Is it such that you can say, okay, here is what we can comfortably supply or confidently supply to the world, but it would be greater were supply chains improved? It's the same story, actually. It is exactly the same framework. So if you think about Q3 results on revenue and the demand, obviously demand significantly outpaces revenues, and that revenue growth was 34 % in the quarter.
45:32And underneath that, if you think about networking, we grew 10%, but our order demand grew 36%, so three and a half times faster. But as you think, go forward now, look, I have done 35 quarters as a CEO. Normally, we put guides that we want to not only achieve but beat, and that is the confidence that we factor in our supply chain ability to deliver on that number. So related to Q4, we're going to grow revenue almost$2 billion quarter over quarter. And then on the bigger base, we're going to grow 14 % to 17 % because we have negotiated multi-year agreements with our suppliers that actually brings the capacity that we need to deliver against that number.
46:15But the reality is that demand will continue to outpace supply. And that's a good thing because what we're doing with customers and working with them, we're interlocking when the supply becomes available and the timing to deliver that revenue and obviously the technology for them.
46:31Ed Ludlow:HPE CEO Antonio Neri, thank you so much for your time this morning on the earnings beat. Now, coming up, Blue Origin turns to another Jeff Bezos venture for its talent. Really interesting story next. This is Bloomberg Tech.
46:52Ed Ludlow:A framework for light-touch regulation of AI has been agreed to by the members of the G20 out of a tech and innovation summit held in North Carolina. The so-called Carolina Principles call for nations to apply sector-specific approaches to rulemaking, avoid creating new regulatory bodies for AI governments, and urge closer collaboration between governments and private industry. Here's Commerce Secretary Howard Lutnick on the need to embrace the AI build-out. Basically, if your community embraces data centers, you're going to have great economics. You'll have more power will be built in the price of power in your community will go down and you'll have the economic power of their paying taxes and they're making your community better.
47:34So if your community doesn't embrace a data center, some other community will.
47:42Ed Ludlow:A quick look at Tesla shares up more than 7 percent. That puts them on track for their best day since late June, trading at their highest level since mid-July. Not really clear why. We know there's a big CyberCab event in Texas, 5.45 p.m. Eastern time, according to some Tesla staff that posted about it on X. We know that we're going to get a closer look at CyberCab. They have a really limited robo-taxi footprint right now in the city of Austin. Maybe we'll learn more. But for one reason or another, the stock is really soaring this Thursday. This is a big one. Jeff Bezos' Blue Origin is turning to another one of his companies for talent.
48:20Ed Ludlow:Over the last year, dozens of veterans of the Amazon Leo satellite venture have moved to Blue Origin. That's according to their LinkedIn profiles. Bloomberg Spencer Soper joins us with the story. I mean, in some ways, it's only natural, isn't it, that some alumni, some veterans of one Bezos space-focused enterprise would jump to the other one? Or is it a surprise? Yeah, I don't think it would be a big surprise. I think what it highlights is if you look at the differences between Amazon founder Jeff Bezos and Amazon's current CEO Andy Jassy, uh bezos definitely has a reputation for having a long-term vision an insatiable curiosity and a commitment to projects to to funding projects through their uh you know through their entirety whereas jassy has a reputation as being more of a you know financial steward he's going to watch the watch the outflow watch the investments and he's going to be very mindful like when are we getting a return on this.
49:27And if it's not showing a return, he's going to cut it. So I think that if you're a space engineer, you're just going to see Bezos as a more stable company. Bezos' Blue Origin is a more stable place to be, whereas Amazon, you're going to feel like a piece of a disposable appendage.
49:49Ed Ludlow:The other sort of leadership factor here is Dave Limp, Right. So he was the devices chief at Amazon. He's now the CEO of Blue Origin. How wide does this sort of Amazon alumni network reach at Blue? Yeah, I mean, there's a Amazon cast a long shadow and there's a lot of people in Seattle, still fairly small town, especially when you get into the field of of, you know, rocket science. You know, there's only you know, you're talking tens of thousands of people in this profession nationally. So it is fairly small and there's connections. But I really think that Bezos versus Jassy is going to be a much bigger factor in people calculating their career choices than any kind of subordinates further down the management chain.
50:39Ed Ludlow:Bloomberg Spencer Soper thank you very much indeed that does it for this edition of Bloomberg Tech a few late minute editions a lot going on and later today we're going to speak with OpenAI CEO Sam Altman 3.30pm Eastern 12.30pm Pacific Time do not miss it recap the show on the podcast you can find it on the terminal as well as online on Apple, Spotify and iHeart this is Bloomberg Tech
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From the publisher
Bloomberg’s Ed Ludlow breaks down what earnings from Broadcom, Snowflake and HPE tell us about the strength of the AI boom. Plus, Hugging Face co-founder Thomas Wolf joins to discuss Nvidia's $13 billion acquisition deal for the AI startup; and self-driving tech startup Wayve reaches a deal with Uber to offer robotaxi rides in London.
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