Intel Earnings Signal Possible Comeback

24 Oct 2025 · 44 min

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Podcast Episode Summary: Bloomberg Tech - Intel Earnings Signal Possible Comeback

Episode Overview In this episode of Bloomberg Tech, hosts Caroline Hyde and Ed Ludlow discuss Intel's recent earnings report indicating a return to profitability, the implications for the chipmaker's future, and the broader context of the tech industry's developments, including significant debt offerings for data center financing and new AI tools from Mistral.

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Key Topics Discussed

Intel's Earnings Report

  • Return to Profitability: Intel reported a net income for the first time in a while, surprising analysts amid a recovering PC market.
  • Upbeat Revenue Forecast: The company is optimistic about future earnings, particularly in its server and foundry segments.
  • Market Reactions: Initial gains in Intel's stock post-earnings faded quickly, indicating ongoing skepticism among investors regarding long-term recovery.

Analysis of Intel's Challenges

  • Market Conditions: While Intel saw some demand recovery, there are still significant challenges to overcome, particularly regarding gross margins and the competitive environment with AMD.
  • Capitalizing on AI: The company is focusing on wafer and packaging to remain relevant in AI infrastructure, though this is viewed as less glamorous compared to competing organizations.

Debt Offerings for Data Centers

  • Record Debt Offering: Banks are preparing a $38 billion debt offering to support data center projects related to Oracle, indicating growing investment in infrastructure.
  • Bank of England's Concerns: There are apprehensions regarding the sustainability of funding, particularly in light of potential AI bubbles.

Mistral's New AI Platform

  • Customizable Tools for Enterprises: Mistral’s CEO Arthur Mensch outlined the company's newly launched platform that aids enterprises in building tailored AI solutions.
  • Strategic Differentiation: Mistral aims to allow businesses to retain control over their AI applications and data, contrasting with competitors like OpenAI that may seek to centralize these aspects.

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Insights and Takeaways

Intel's Strategic Positioning

  • Intel's efforts to revitalize its business model hinge on managing production costs and enhancing product offerings in competitive markets.
  • The focus on AI infrastructure, while essential, may not capture the same level of excitement as advancements in GPU technology.

Debt Market Dynamics

  • Growing reliance on debt to finance tech infrastructure presents both opportunities and risks, with regulators like the Bank of England closely monitoring the situation.
  • The demand for AI-related infrastructure is pushing companies to explore innovative financing methods to manage their capital needs.

Evolution of AI Solutions

  • Mistral's approach to enterprise AI emphasizes the importance of customized solutions and integration of existing enterprise systems, reflecting a shift towards more localized and controlled AI deployments.
  • The competitive landscape remains fierce, with established players needing to continuously innovate to maintain market relevance.

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Conclusion This episode of Bloomberg Tech provides a comprehensive look at the current state of the technology sector, highlighting Intel's recovery efforts, the implications of massive debt offerings in the AI infrastructure space, and the emerging innovations from startups like Mistral. The discussions underscore the dynamic nature of the tech landscape, where both established companies and newcomers are navigating challenges and opportunities amid evolving market demands.

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Transcript

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0:00Hello, I'm Stephen Carroll. I'm in Brussels where many of Europe's biggest decisions get made. And I'm Caroline Hepker in London with the hosts of the Bloomberg Daybreak Europe podcast. We're up early every weekday keeping an eye on what's happening across Europe and around the world. We do it early so the news is fresh, not recycled and so you know what actually matters as the day gets going. From Brussels, I'm following the politics, policy and the people shaping the European Union right now. And from London, I'm looking at what all that means for markets, money and the wider economy. We've got reporters across Europe and around the globe feeding in as stories break So whether it's geopolitics, energy, tech or markets, you're hearing it while it happens It's smart, calm and to the point And it fits into your morning You can find new episodes of the Bloomberg Daybreak Europe podcast by 7am in Dublin or 8am in Brussels, Berlin and Paris On Apple, Spotify, YouTube or wherever you get your podcasts

1:02Bloomberg Audio Studios. Podcasts. Radio. News.

1:11Bloomberg Tech is live from coast to coast with Caroline Hyde in New York and Ed Lovellow in San Francisco.

1:24This is Bloomberg Tech coming up. Intel returns to profitability and gives an upbeat revenue forecast. Are the chip makers' comeback efforts working? Plus, banks are preparing to launch a$38 billion debt offering to help fund data centers tied to Oracle. It's a record for AI infrastructure. And Mies Drow's CEO, Arthur Mench, joins us on the company's release of a new platform to help enterprise clients make customizable AI tools. An important private market conversation. We get back to the public markets to end this week. We are at a new record high. When you're looking at the S &P, when you're looking at the Nasdaq, we're up 2 % over the course of the last five days.

1:58but a real tick higher on the day, Ed. The macro picture, the inflation, cooler than many had worried about. And indeed, that gives the Fed room to run when it comes to maybe some more cuts that the market had already been pricing in. We've got China, US, we've got plenty to be digesting and you're looking at earnings. Yeah, in the earnings context, Intel's post-earnings rally has basically completely faded. A gain of more than 7 % is now less than 1%. But profitable for the first time in a long time on a net income basis. The PC market was better than they expected. They're making some progress in server, even a little bit in foundry.

2:34The issue is that the quarter was all about getting money from anyone they could, clearing some of the debt, and there's still a lot of unknowns about how far there's left to go on this turnaround plan. Cara? Yeah, let's get about where some of the holds are still left on Intel. Kunjan Sabani is with us, being an intelligent senior analyst covering semiconductors. And we are still left with a lot to chew on, because clearly PC doing a bit better, maybe even CPUs getting into those data centers. But what about the next iteration of fabrication of chips? This result shows the first sign in the right direction, sort of a turnaround, a beginning of a turnaround.

3:09You know, the gross margin headwinds, like you said, the challenges have not gone away. But what they showed yesterday, where their demand is running ahead of the supply, which it will be for the first half 26, There were structural gross margin improvements, though we will not see a gross margin expansion next year, primarily due to the new 18A coming on the exit from the Altera business, which was their highest gross margin business. But structurally, when you peel the onion, we like what they're doing. Most of the 18A will be moving from Oregon to Arizona, which is a better cost structure fab to begin with.

3:43A lot more volume will be coming back to Intel's foundries, which is better for them. And as they go through the initial transition cost and the revenue scale, which is showing from the higher demand in PC and data center, improves slowly, structurally, the overall gross margins should start to creep up. I don't know what happened, Kunjem, but in the time you've been speaking, Intel's now flat and eliminated all of its gain of the day. And I'm not saying that's your fault. I'm just making the observation. Look, when I spoke to the CFO Dave Zinsner on the phone, he was a bit surprised by some of the end markets that they're reliant on on the product side, servers in particular.

4:23The basic argument they're making is the hyperscalers have suddenly realized that you have to, at some point, update your CPUs. You have to invest in them. And so now they're saying that actually on a year-on-year basis, they'll see unit growth. What did you make of that? You know, that is a very credible story to believe in. we have seen signs of this in other markets. For example, the storage server market has been seeing a big demand when it comes to HDD. So, when you think about every time when we are pinging something like a co-pilot, it's going and clearing or analyzing data which was sitting dormant for the past six months.

4:57So, the storage servers were not really using them. Suddenly, now we are pinging them four to five times. So, that does, you know, it is a credible story to believe that the need for CPU, even outside AI servers, is going to increase now as we involve more and more AI in our workday. Kunjan Savani of Bloomberg Intelligence. Later in the show, we'll get more on Intel from the sell side. Meanwhile, banks are reportedly preparing a$38 billion debt offering for data centers tied to Oracle. Sources say the deal could launch as soon as Monday with JP Morgan and MUFG among the lead banks. Here to discuss Bloomberg Intelligence, senior tech analyst, Anarag Rana.

5:38There's a key point of clarification here that Caroline made to the team earlier in the chat. And it's not Oracle taking on this debt. It's Vantage, the developer, who will do the project. Even so, when you see a news piece like that, about that level of debt supporting the build out in infrastructure, what is your reaction to it? No, that's a very good point. And in fact, I had a very good conversation with that credit analyst Rob Schiffman, and we discussed this quite a bit. We have seen something like this coming from other places as well, which is when you have a contract from a particular vendor, you can create an asset-backed securitization product where the contract itself says there is revenue that's going to come in the future.

6:26So the question is whether there are going to be appetite for such large debt deals going forward as well, because I think that's critical for recognizing a lot of that RPO that's coming in into revenue. Otherwise, it's going to be very difficult to convert that into sales. This is about yield. And for the facilities related to Vantage, they're expected to come due in about four years. There's about two one-year extension options. You're getting two and a half percentage points over benchmark those. So people who are clamoring to get exposure to the AI narrative now don't just have to do it through equity.

7:01They can do it through debt and they can do it at a nice yield. More broadly, are we going to see these sorts of packages come in this sort of sheer scale because of the need that we've got out there at the moment? So you have to, because I think about it. If OpenAI has signed a deal worth$300 billion with Oracle, you know, how are you going to finance that? How are you going to convert that contract into sales? And you need data centers to come there. You need equipment. And finally, that needs to be realized. So we are expecting a lot more in the market. The question is whether the private debt market has the ability to, you know, basically absorb this level of debt or not.

7:44Anurag Rana of Bloomberg Intelligence. We'll see how this does get absorbed. It's coming to the market as soon as Monday. But let's just talk more broadly about what's happening in the debt markets when it comes to tech, when it's happening in the equity markets, which are actually tech outperforming in that particular area today. You've got earnings, you've got hopes on the China-US trade talks, we've got stock sickening on record after that CPI number came in with, well, a relief that the Fed will potentially keep on cutting at the rate the market thinks. Martin Norton's with us, Chief Investment Strategist at Empower.

8:11I want to go back to what we were just talking about and the debt that's coming to the market and the absorption that's going to be happening. I'm looking at a story right now saying that the Bank of England is actually probing data center lending because they're worried about AI bubbles brewing. Is this something you're starting to hear about in the market, Martin? Well, it's so interesting because a lot of the rationale for the, I guess, complacency around the AI trade has been that this is largely being funded by very well capitalized, very strong hyperscalers. And the companies are not taking on debt.

8:46They are using what they have to extend into this space. But now, in the most recent month, we are beginning to see more debt issuance. And I think when you think about the scale of investment and the ratio of CapEx to revenue that we're seeing even at the hyperscalers, it does argue that we're going to have to use a broader range of financing to meet some of the targets that we have. And, of course, that's the signal that folks are looking for, that there is an AI bubble. Now, you know, I think there's a real difference between extreme valuations, which is where I think we are, and an AI bubble.

9:20I think the sentiment has to get more aggressive. I think we would have to see far more debt issue. I think we are, I guess, kind of wildness around it. We're getting a few hits to the line, Marta. We need more compute going. I'm interested in, look,$5 trillion is what the spending is likely to be up to 2030 if we're going to get the data center and compute necessary to fuel the AI viewpoint. To that end, when you're thinking about clients coming to you saying, I want exposure, I want it to be cross-asset, Are you saying don't how are you talking about the diversification between equity exposure and debt exposure corporate bonds and the like?

9:58Well, at this point, I mean, the primary exposure to AI is still within the equity market. I think this is something that especially for the active credit managers, it is an opportunity to vet. You know, you can get that added yield as suggested. But I do think people want to be really cautious in terms of adding that debt. One thing that we're talking about a lot in the credit market is just how tight spreads are. And so that is what you want to watch to make sure that isn't, you know, a valuation risk within the credit market. Marta, earnings was a factor in this market this morning when I came to my desk.

10:31We showed Intel actually is now basically flat. Even so, in the course of a conversation we had with Intel CFO Dave Zinsner, he made for an interesting case study, which is that he said they had been very cautious about tariffs, but the impact wasn't there in the end. And actually, in the PC segment on which they depend, shipments were very strong, stronger than they anticipated. Just as a case study, you know, that's really interesting data to me. What do you make of it? I mean, it's totally interesting. And it really echoes what we've seen over the course of 2025, which is this sea change in trade policy.

11:08And yet really no discernible effect from either an earnings perspective or from an inflation perspective. Our emphasis over this period has been expecting to see some hit to earnings, less concern on the inflation front. And I think one thing that we're really learning over this process is that you can see a sea change in policy and yet not necessarily see the impact immediately. I think the concern I would raise to investors is just because you don't see an immediate impact doesn't mean there isn't an impact. When we look at the long term implications of globalization on earnings, it has been a real positive for the U.S.

11:45and globally. And so as we roll that back, it stands to reason that it is a headwind, maybe a headwind that we can overcome, but a headwind nevertheless. Marta, please respond to what is one of the top news stories of the day. President Trump says he's halted trade talks with Canada because of an advertisement that they ran, citing a Reagan-era comment. You're aware of it. In response, Mark Carney says that trade talks were making progress before the president's post on Truth Social. Again, as a case study of trade and policy in this market, your reaction to it? Well, I guess I would say that trade talks are the toddler that just won't go to bed.

12:29I don't think this story is really over yet. I mean, we have a lot of certainty, I guess, in terms of the overall effective tariff rate. But the fine details of what those trade talks look like, yes, with Canada, but also, of course, there's still a lot of negotiation with China. So I think this is something that will be this kind of lingering volatility within the market. Marta, you have a sea of parents of young children who are just feeling that pain, that analogy, really beautifully. Thank you very much. I want to go back to the very start of our conversation and to say that valuations you think are extended.

13:08Where exactly and what will earnings have to vindicate? Which types of companies? Well, when we're looking at the U.S. market broadly, really every sector from our vantage point, with one exception, is quite expensive. And when we talk about expensiveness, we're looking at sectors and deciles of valuation relative to their own history. And what we're seeing is valuations that are really in those ninth and tenth deciles. And that's when that starts to matter to prospective three-year returns. When we look under the hood in technology, we really see it across industries. Now, that doesn't mean that these stocks can't grind higher.

13:46And if we do see upside surprise within earnings, potentially that could push the stock market even further. I think the idea here is that there's just low immunity. So if we were to get an earnings season that people expect, I think that's a lot harder to move the stock market. I will do a shout out to health care. This is something we've been surfacing since the summer. This is one of those areas that is more attractively priced. It has a lot of problems that it faces, but it also has, you know, the potential to benefit from something like AI. So that's one of those areas that we're looking to in this environment.

14:21Martin Orton, Chief Investment Strategist at Empower. Thank you very much. Aclara Resources, an exploration and mining services provider, plans to build a$277 million rare earths plant in Louisiana, the first of its type in the U.S. This comes as Western nations attempt to reduce reliance on China, currently the dominant supplier. The facility will process material from Aclara's clay deposits in Brazil and Chile for magnets used in EVs and wind turbines. And construction is expected to be completed by the end of 2027. Karen? And coming up, so much for pet rocks, hey? JP Morgan takes another big step into the crypto world.

15:00More on that next. This is Bloomberg Tech.

15:17JP Morgan is set to allow clients to use Bitcoin and Ether as collateral for loans. That's according to sources. The move marks a deeper step into crypto for Wall Street. Bloomberg's digital finance reporter Emily Nicole broke the story, joins us now. I think it's really important to go through the mechanics of what we think this will work as, right? Institutional clients, what they can do as collateral, and then what the bank will do in return. Take it away. Yes. So what we've been hearing is that JPMorgan will be allowing this by the end of this year. What the process would look like is where institutional clients come to JPMorgan with holdings of Bitcoin and Ether that they already own.

15:56that would then be transferred to a third party custodian that JP Morgan will appoint who will look after the crypto so the bank doesn't have to touch themselves. And that can be used as collateral for financing that the bank can lend against. What's really interesting is the context of JP Morgan and shall I say Jamie Dimon's relationship with crypto because it was a few years ago he was calling them pet rocks, hyped up fraud. And now most recently in your story, which is a beautiful quote, talking about, I don't think we should smoke, but I defend your right to smoke. Is that why they're not going to be custodian while they're letting others like State Street, Bank of New York, Mellon, Fidelity still play that game rather than JP Morgan itself?

16:36There's definitely a bit of a divide in terms of how banks want to touch crypto. Some, like JP Morgan, are happy for clients to touch it, but they don't necessarily want to be involved in touching it themselves. So earlier this summer, for example, this started out with JP Morgan allowing clients to use crypto ETFs as collateral. So traditional finance represent their use to touching, but it tracks the price of a cryptocurrency. This is a step further than that, but they're still not getting to the point of where they'd want to touch the crypto directly. It should be noted that it is pretty difficult for banks to touch crypto directly sometimes because there are rules like the Basel rules on banking that prevent them from touching crypto without having to hold an equivalent amount of capital in reserve at the same time.

17:14It can get pretty expensive unless you've got the right structures in place. There's a lot of institutions and a lot of private individuals have a lot of crypto games they want to be able to use as collateral. Emily, Nicole, it's a great story. Thank you. Coming up, Google says it's reached another new milestone in quantum technology. It's a step that could bring the long-promised power of quantum computing closer to reality. We're on the next. This is Bloomberg Tech.

17:50This is Tom Keen inviting you to join us for the Bloomberg Surveillance Podcast. It's about making you smarter every business day. I'm Paul Sweeney. We bring you complete coverage of the U.S. market open. We cover stocks, bonds, commodities, even crypto, all the information you need to excel. And I'm Alexis Christophorus. Bloomberg Surveillance also brings you the analysis behind the headlines. We do that through conversations with the smartest names in economics, finance, investment, and international relations. We do all this live each and every weekday that bring you the best analysis in our daily podcast.

18:25Search for Bloomberg Surveillance on Apple, Spotify, YouTube, or anywhere else you listen. On the East Coast, listen at lunch. And on the West Coast, listen as soon as you wake up. That's the Bloomberg Surveillance Podcast with Tom Keen, Paul Sweeney, and me, Alexis Christophorus. Subscribe today wherever you get your podcasts. Bloomberg Surveillance, essential listening each and every business day. Google says it achieved a major milestone in quantum computing, bringing the technology's immense processing power a step closer to real world use. The company says it ran an algorithm on its Willow quantum chip that is verifiable and 13 ,000 times faster than today's best supercomputers.

19:10let's discuss with Karina Chao, Chief Operating Officer at Google Quantum AI. I think actually the best place to start is the basics of quantum computing versus accelerated or supercomputing. Because if you explain why that 13 ,000x performance is notable in simple terms, it gives some measure of why it's a piece of news this week. Absolutely. Today's computers, classical computers, they use bits, right? Zeros and ones. They use that to calculate. It's useful for a number of different problems across the world. However, quantum computing is different, uses a combination of zeros and ones at the same time.

19:47That enables access to different types of problems like the quantum echoes algorithm we announced this week. You have brought Willow with you. You've put it in an impenetrable, safe housing and casing. There it is on the desk in front of me. I read a lot of academic papers this week, and many point out that you didn't use a scalable or fault-tolerant chip for this demo. And so the argument follows that it would be a big challenge for you to commercialize or scale out that technology. Is that a fair concern from the academic community? That is the goal of quantum computing, to get to fault-tolerant quantum computing.

20:21Nobody is there yet. It is a long journey, but it is very exciting. We've been excited last December to announce for the first time that error correction can work. We demonstrated that with our Willow chip, and we continue on this journey, pushing the number of qubits and also bringing the errors way down. And it's the timing now, Karina. What is it, five years till we get something that actually will show quantum computing being really applicable and useful in the areas of science, in the area of medicine? Why that timeline in particular? Yeah, we are optimistic that we'll see real-world applications that are only possible on quantum computers in the next five years.

21:01You know, this breakthrough that we announced this week is a great milestone towards that path. We showed that Quantum Echoes, this algorithm, is not only 13 ,000 times faster on a quantum chip, but that it can be used to simulate and calculate the exact structure of a molecule. So we think this is an important step on the path. Someone on your team won the 2025 Nobel Prize in Physics as among the winners. You have Hurtminton leading the charge. We have real stellar talent, but also a lot of investment. What did you make of the news, the flow that maybe the U.S. government is there to support other smaller quantum players here in the United States?

21:39Is that important? Yeah, we are really excited and pleased to see all of the investment, the support, the excitement about quantum computing across the board. The U.S. government has been a strong supporter and partner in this for the last many years. And we're very excited about those investments and continued partnership across the ecosystem. Karina, you are the COO of the Quantum Group, right? And we reflected earlier in the week on the show when the headline hit the Bloomberg about this breakthrough. Actually, markets reacted. Alphabet shares moved markedly. Would you reflect a little bit on what the days that followed that were like?

22:17Did the phone ring off the hook from various parties that are interested now to know more about how they might be able to use the tech? Yeah, for us at Google, we are really excited about all the interests that we're seeing across the board. Our mission at Google Quantum AI is to build quantum computing for otherwise unsolvable problems. I think that's why there's increasing interest with every breakthrough. People in other fields are getting excited about what can be possible, and we look forward to continuing. So the bar has been set now for you. What is the next milestone that we should judge you by in progress?

22:50Yeah, there's going to be continued work across the board. One really important marker of progress is continuing to push the hardware. So you can see on this willow chip here, it says 105 Q. That's 105 Q bits on our willow chip. Too fast. Give the cameraman a chance to catch up. He will get it. Yeah. All right. Keep going. Yes, 105 qubits. So that is great. This has been honestly cutting edge chip. But to get to where we want to go to solve these important problems in chemistry, in physics, in material science, batteries, energy and more, we want to get to a million qubits. So we're going to keep pushing the performance of our system.

23:26We're also going to keep pushing the algorithm and software development so that we can solve these problems. What does that take, Karina? What does that take in terms of supply chain? What does that take in terms of talent? What does that take in terms of focus? Yeah, these are all really important questions. I'll start with talent. You mentioned a Nobel Prize winner on our team. We are super proud of Michel Devereux and the entire group of teammates and body of work that's happened over the last many decades. We're super proud of our team. We've got a super talented team of engineers, technicians, research scientists, program managers, and others who are pushing the boundaries of this technology.

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24:04We've got to keep bringing the best and the brightest to our team to push the performance of what is possible. Karina Chow, it's been great speaking with you. Chief Operating Officer over at Google Quantum AI on the back of what has been quite a week for your team. Congratulations. Now coming up, we get back to Intel's earnings and the chip makers' efforts have come back. From New York to San Francisco, this is Bloomberg Tech.

24:48Welcome back to Bloomberg Tech. If you're just joining us, Intel and its earnings were our top story. And the stock actually has eliminated most of the gain that it had. It opened up almost 8%, is now up just half a percentage point, but trading at its highest level since April of 2024. It has returned to profitability. It saw surprising demand across PC and server, and it had some fighting talk about its place in the AI infrastructure industry, which largely was around wafer and packaging, not as exciting as GPU, but it's worth digging into numbers, Cara. It is, and we can do that with a perfect person.

25:25Pierre Ferrague is with us, new street research, head of global tech infrastructure, joining us. And look, we have seen the gains fade. What did you make of the numbers? Was there enough there to keep the share price rallying as it has been? Yeah, so the numbers for Intel on a day like yesterday are about relatively short to near-term trend. And so the PC market has been very weak for some time, meeting expectations that were very high because everybody was very excited about the AI PC and things like that, which didn't really move the needle for the market. And so now what we see is a more traditional driver like Windows refresh cycle helping enterprise demand.

26:06And that's great, of course. and then servers, we've seen the server market being weak for quarters and quarters, if not years, because you had so much focus on deploying AI servers that a lot of very large players were kind of, you know, deprioritizing the deployment of traditional servers, and now we are entering a phase of catch-up. So the near term for Intel looks good, and it reminds you that it's a good business, that there is operating leverage, that even if they've lost a lot of market share to AMD, they are still like a market leader so that's great um but these are very surprisingly positive but relatively shorter i mean that's the way i interpret the stock movement you know yeah big on the news flow and then you look back and you're like well but at the end of the day what does really matter for intel is that really like pc demand over the next couple of years or is that more so what matters pierre what matters is 14a what matters is are they going to be the cutting edge of the next iteration of chips are they going to really rival tsmc and get others than intel's own fabrication going what did you hear from litbutan and the team about that so i heard two things the first one is mixed signal which is that 18a the manufacturing is ramping is going to get into volumes uh imminently you know like for the beginning of next year but comments about the yield so you know the quality of the process are still very very mixed.

27:33Let's face it, the yields are not good today. So early yields not being good is almost business as usual. But I think 18A's performance in terms of manufacturing performance is disappointing. And then the second piece of news that really matters the most for the long term of Intel is like more positive comments. But 14A, remember three months ago, the CEO had very cautious comments even mentioned in writing in the 10K as a possibility of not developing Fortinet if Intel didn't find enough customer support to do it. And now they're talking positively about Fortinet on the technical front, like the roadmap is progressing well.

28:12And also, I don't even want to call that the commercial front, but more like the coalition front. This idea that if you really want Intel to be successful in manufacturing, you need more than clients. You need industrial policy. You need a coalition. You need partners that deeply engage with Intel, invest in Intel, commit to Intel to work with Intel. That's the only way the foundry is really going to do well. And honestly, on that front, it's very, very early signals, but I think they are positive. I tried to get a sense from Intel's CFO, Dave Zinsner, when I spoke to him on the phone about that long-term you were talking about.

28:50And in an AI world, AI, his answer was quite simple. They do see opportunity in accelerators. But the foundry bit is what I was most surprised at. He's saying that the foundry opportunity for them in AI is in wafers and packaging. That doesn't sound hugely exciting, Pierre.

29:12Well, maybe it doesn't sound hugely exciting, but it sounds very realistic and really playing to Intel's strengths. The way I see Intel today is they have two major product franchises. One is in the PC business, x86 CPUs for PCs, and one is in server. So I'm pretty sure the management wants to maximize the value of these two franchises and concentrate on them, and it's good. You can't invent yourself, you know, like an AI accelerator designer like 15 years down the line or 10 years down the line. And that's very reasonable. And then, yes, Intel has an edge in packaging. Intel is a strategic asset for this industry, and this is probably what management wants to build on.

29:59And I see that as maybe not as exciting as willing to compete against NVIDIA, but very realistic and the right industrial approach, probably. You know, and for our audience, Pierre, I appreciate that answer because you also cover NVIDIA, right? You're able to make the comparison. On x86, I think the argument Intel were making to us was the hyperscalers have woken up a bit to the value of having the latest CPU in infrastructure. They're willing to invest and refresh on CPU. So again, for them, Intel, they would argue that it's a great opportunity for them. Do you see that opportunity? Yes, absolutely no doubt.

30:38And it's very, very strong. You have clients asking for it, the specifics of the x86 architecture, and the way Intel implements it is very differentiated. I've always been a great believer in the quality of the products of Intel on that front, like the ability of an Intel x86 chip to deal with very unforeseen situation in very complex workloads is excellent. And you've had so much demand for it that it actually triggers NVIDIA's move first to open up NVLink, like the high bandwidth connectivity with their GPUs, so that x86 chip can be integrated into NVIDIA systems. and a$5 billion investment in Intel and a partnership with Intel to co-develop chips that would be optimized to get integrated into NVIDIA system.

31:34And my read, having followed that for a few years, is that it's not just like a nice gesture from NVIDIA under political pressure or anything like that. It is a genuine, thorough and deep interest for Intel products in the industry for that role. Now, keep things to the scale they are. out an NVL72 server powered by x86 chips. The x86 chip is going to be single digit percentage of the cost of the overall server and the other 90 plus percent would be NVIDIA. So Pierre, with NVIDIA's support, and we know the money's yet to come through and that'll settle in the next quarter, will that be enough to see Ohio break ground?

32:13Will we see an actual commitment, not just to co-develop, but actually to eventually fabricate on site in the United States, not just relying on TSMC? It's a great question. You need more than that to have like a final commitment or to claim victory, basically. In order for Intel to successfully manufacture chips in the US, package chips in the US for US clients, you need the money and major progress made on that front with money from the government, from Nvidia, from SoftBank, and I'm sure more will follow. You need also like the multi-year commitment of a coalition. So you're not going to get like the right ship in the first go with, it's a dialogue that needs to last very multiple years before you get to success.

33:06And last but not least, you need execution. You need intent to come up with a 14 A node that is going to show up, progressively be unveiled and better convinced and make potential adopters more confident, it's going to be the right not to do something with it. Pierre Ferrague of New Street Research, great to have you back on Bloomberg Tech. Thank you very much. Now coming up, Mies Strauss CEO, Arthur Mensch, joins us to discuss the startup's new platform designed to help companies get the most out of AI. It's a big interview. We've been looking forward to this one for some time. Stay with us. This is Bloomberg Tech.

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34:52Today, European AI startup Mishra announced the release of a new platform to help its enterprise clients make customizable AI tools that are easy to operate throughout their businesses. Delighted to welcome Mishra's CEO, Arthur Mensch, to the program. This is a path to production, right? and the enterprise category between you and Thropic, OpenAI, it's a fierce battle. I think let's just start by you explaining why you feel this is such a significant milestone for Mistrel. Hello and happy to be here. For us, we're a global company really focused on creating value for the enterprises. And we have had three years now of experience in doing that.

35:37And so AI Studio is basically the one-stop shop platform where you can build your AI application as a business. And so it brings everything that we need to create value in the enterprise, to create applications that belong to the enterprises, that contain their IP, that is connected to their data, and that improves over time by leveraging the knowledge that is contained within enterprises, that is contained within employees' mind. You are a global company. You're producing foundational models, Arthur. I wonder, though, how you compete against those that are already serving the enterprise. How is your solution different from that of Anthropics, that of OpenAI, that of X's and many others?

36:15Well, I think our solution is much more integrated in that we have thought about all of the bricks that needed to be there to go from a model, which is how we started, to an application with the right front end, with the right back end and with the right learning mechanisms. So that integration is really the reason why we've been succeeding in delivering value with enterprises. So that's one very strong area of differentiation. The other thing is that in contrast with some of our competitors, we really believe that enterprises should build their own AI, that they should own the system, that the IP should remain their own, that the data should remain where it is and should not necessarily flow back to us.

36:53And so that approach of building a portable platform that can be deployed on-prem, that can be deployed on private cloud, combined with the vertically integrated approach of having just one platform allowing you to go from prototype to production, I think is very, very different from the approach of our competitors. And that has allowed us to make a lot of progress, in particular in the US. Arthur can you talk about how quickly you're able to onboard scaled enterprise customers to this and in turn therefore what the capacity and compute constraints are for you in launching a new product and then trying to run workloads with clients well the good example that that I can give you is what we've been doing with one of our big customers which is a logistic company called CMA CGM and one of the biggest shipping company in the world and so as many other companies they were a bit struggling with the adoption of AI if you look at the MIT reports they state that 95 % of use cases just don't go into production and the way we have done the work with them is we used AI studio and we deployed our AI applied engineers or AI applied scientists we made them work with the business unit owners and they realized what kind of processes could be automated end to end.

38:11And from ideating what we could automate to going into production, so from March to July, in four months, we were able to understand a full function to be automated. So cargo release and dispatching of release of containers to multiple customers. We're able to go from that to production that is now going at a global scale. So the way we think about it is that it takes a quarter to go from a prototype to a production. and for it to happen you need to have the right tools you need to have the right tools you need to have the right experts you need to deeply understand what ai agents can do and cannot do you need to connect the agents to the data sources you need to connect them to software which is sometimes legacy so you need to have the right interfaces the right plumbing that's what ai studio can bring you also need to have the experts so that's why we deploy people in the companies that we work with.

39:04Arthur, there is intense interest in Mistral as the European champion among AI labs, frontier labs. The thing we're most interesting to learn about is the progress of the follow-on fundraising round that's reported you're undertaking. How much money are you seeking to raise? But beyond the money, why do you need to do a quick follow-on? What is the most pressing need for capital at the moment? So I'm not sure we'll talk to you about the follow-on, but we are not raising money at the moment. We've just actually announced a fundraise with ASML, which is the biggest European company and with whom we work, with whom we have a commercial agreement where we help them make better products, automate their processes.

39:47We help connect their vertical expertise to horizontal expertise. We make them create their own AI and deploy this AI into their systems. So that was a 1.7 billion euro raise, which makes us, we've raised around 3 billion euro in total. And that in turn has enabled us to grow very fast and to create unique technology and to release it in particular on the open source world. That was really interesting, this strategic investment coming from ASML. You just referenced CMA, CGM, another French-based giant. It's a global company, but it's French-based. You got work with Stellantis. You got work with BNP Parabas.

40:27What about US companies? How are you managing to penetrate here? So we are working with multiple U.S. companies. We're working with Cisco, for instance, which has chosen us because we allow them to deploy on private cloud and we deploy people to work with them, in particular on the customer experience side. So that's one important customer of ours. We also work with Snowflake, deploy our technology, in particular on document processing and all of our technology to structure unstructured knowledge and to take unstructured knowledge and turn it into things that can then be crawled by AI systems.

41:03We also work, as you know, with Microsoft, which is a very important partner of ours and exposes our model on Foundry, our models being very competitive, in particular on their cost-to-performance ratio. We work with AWS and GCP, and we work with multiple digital natives companies as well. Arthur, your peers, Dario Amadei from Anthropics, Sam Altman, OpenAI, are looking increasingly to the Middle East, both for capital but compute capacity, right? This week, we broke the news of Anthropics securing 1 million TPUs with Google and GCP. That's the scale that people are talking about. Are you making those future plans for scale?

41:47Are you looking at debt markets to ensure the future of Mistral and what you want to do? The future of artificial intelligence is very linked to infrastructure, as you know. And as a consequence of that, we have created a new business unit called Mistral Compute, which is creating digital infrastructure, GPUs in particular, in Europe, which is lacking infrastructure today. And so we've been growing that very fast and we are acquiring multiple hundreds of megawatt capacity in the coming year to actually be able to serve our customers, to serve AI startups, to serve all of our existing customers and customers that come to us because they are looking for sovereign capacity.

42:32We also use that capacity to train our own models and to maintain our leadership on the open source front. But with that comes the need to continue to invest. you've raised money. And is that what's being used to finance the exploration and data center build out? Because I'm looking at a headline at the moment that the Bank of England itself is really worried about a so-called AI bubble and some of the debt and the financing that's going on of data centers at the moment. Is that something that gives you pause, Arthur? Well, we've raised equity and we are deploying that equity to actually train models.

43:05So R &D is financed by our equity. We also have long-term contracts for our compute facilities. and with those long-term contracts, we are able to actually finance them through debt. But that's not, this is bank debt and gives us confidence that we are not overly exposed to debt. There is a lot of investment happening on the infrastructure side today. We're really focused on creating the long-term value that will justify these investments. Because we operate with venture prices, because we go all the way to delivering value for them, to identifying their use cases, to making things that transforming what looks like magic to something that looks like money.

43:45We are not exposed to whatever may happen on overly investing on the infrastructure side. We invest on the infrastructure side in a wise way. To help build Mistral AI Studio. Arthur Mensch, great to have you on that news today. Thank you so much, the CEO of Mistral. I'm co-founder. Now coming up, we'll come back on the AWS shortage and outage, but it's one of the biggest in history, remember? And what could that mean for the cloud giant's future in the age of AI? This is Bloomberg Tech.

44:21Amazon basically invented the cloud business, but now it's struggling. As Monday's outage shows one of the worst outages in the cloud unit's history, Bloomberg's Amazon reporter Matt Day joins us to discuss his latest deep dive and why AWS is now perceived as trailing its rivals in AI. This week's been rough. Outage, losing some ground to GPUs, TPUs with Google. Just give me the headline of your story. The headline of the story is that Amazon is essentially no longer the only game in town. In cloud computing, they've got real credible rivals down to Oracle and Google. Five years or so ago, it was only Microsoft that was knocking on the door.

44:58Now you add on all this AI workloads, and that's not a business that Amazon rather seem to be leading in. Just for context, though, how successful does it remain? How much market share does it still own? And what are we starting to see in terms of inroads? So on traditional cloud, it's something like 38%. Rick and Skartner, that's down from about half of the market, you know, five or six years ago. Folks who have made inroads, you know, there's Microsoft, there's GCP, there's Oracle. And a lot of the threat there is just some of the services that Amazon pioneered, like those are leaning toward commodities.

45:29Other companies can offer you a similar package of goods. Right. Matt, when we broke the story about Anthropic using TPUs, Google stock up, Amazon stock down. How have you reflected on that in the story? Also, you really can't overstate the importance of Anthropic to AWS. They're a marquee artificial intelligence customer. They're helping kind of co-develop Amazon's artificial intelligence chip called Tranium with them. So the fact that they now have what really looks like a hedge or an option to go more toward Google should they choose, should they like the tech results better, that is a real risk or potential risk rather for Amazon's business.

46:06I have a feeling it's a story you're going to continue to dig into. It's so well read today. Thank you so much, Bloomberg's Mac Day, reflecting on the week that was for Amazon. And we reflect on the show that was because it does it for this edition of Bloomberg Tech. Ed, it was another huge busy one. And boy, next week, full on end. Yeah, like we didn't even get to mention really in the course of today, but like next week is the tech Super Bowl, right? In an earnings context, it's the biggest one that's going to matter. Well, is NVIDIA there? I guess not. We've got everyone else. Meta, Microsoft, Amazon, you name it.

46:38The vindication, the fundamentals. They've got a lot to check out on the podcast. I am heading to DC for GTC with NVIDIA, so there might be some news there. Check out the pod. You know where to find it. This is Bloomberg Tech.

46:55Hello, I'm Michelle Hussain. And for more than 20 years, I was at the BBC. But all the time I was delivering the headlines, I wanted to go further than the news of the day. To spend more time with the people shaping our world. And that's what I'm doing here on this podcast. Speaking to people from Nigel Farage... Listen, love, you're trying ever so hard. Russia needs to be taught a lesson. Listen, love, you're trying ever so hard. To tech journalist Cara Swisher. And the tech industry is running wild. You know, they've gotten what they wanted and they've seen a huge run up in their stock prices.

47:30This will be a place where every weekend you can count on one essential conversation to help make sense of the world. So please join me, listen and subscribe to The Michelle Hussain Show from Bloomberg Weekend, wherever you get your podcasts. You certainly ask interesting questions.

From the publisher

Bloomberg’s Caroline Hyde and Ed Ludlow discuss Intel’s earnings, as the chipmaker returned to profitability and gave an upbeat revenue forecast. Plus, banks are preparing to launch a $38 billion debt offering to help fund data centers tied to Oracle. That comes as the Bank of England begins to probe data center lending amid fears of an AI bubble. And Mistral CEO Arthur Mensch discusses the company's release of a new platform to help enterprise clients make customizable AI tools.

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