In short
Podcast Episode Summary: AMD Forecast Fails to Impress Investors
Podcast Details Title: Bloomberg Tech Hosts: Caroline Hyde and Ed Ludlow Description: Daily news and analysis on global technology companies and investors.
Episode Overview In this episode, the hosts discuss the disappointing sales forecast from AMD, which caused a significant drop in the chipmaker's stock. The broader tech market continues to face a sell-off due to fears of AI disruption exacerbated by the introduction of an automation tool by Anthropic. Additionally, Nvidia is reportedly nearing a substantial investment in OpenAI.
Key Topics Discussed
- AMD's Disappointing Sales Forecast
- Stock Reaction: AMD's share price fell approximately 15%, marking its largest decline since October 2018.
- Sales Guidance: Projected sales of approximately $9.8 billion, which fell short of consensus estimates that anticipated around $10 billion.
- Impact of China: Revenues from China negatively affected margins, complicating AMD’s financial outlook. Concerns about delayed product ramps were also addressed.
- Broader Tech Market Impact
- Continued Sell-off: The tech market is seeing a broad sell-off, with fears surrounding AI disruptions following Anthropic's release of new automation tools.
- Market Ripple Effects: Approximately $2 trillion has been wiped off the Goldman Sachs software index since its peak.
- Specific Stock Movements: While NVIDIA and Google saw declines, Microsoft experienced a slight rebound after a previous earnings sell-off.
- Upcoming Earnings Reports
- Google and Amazon: Anticipated earnings reports from Google and Amazon are expected to provide insights into the performance of their cloud services, particularly as Microsoft’s recent report has raised investor jitters.
- Nvidia's Investment Plans
- OpenAI Investment: Nvidia is nearing a deal to invest $20 billion in OpenAI, with the AI company looking to raise as much as $100 billion in its upcoming funding round.
- Strategic Importance: This investment is seen as critical for Nvidia's positioning in the AI market.
- AI Disruption Concerns
- Market Sentiment: The discussion highlighted the narrative that AI could potentially replace software rather than complement it.
- Investment Strategies: Long-term investors are urged to differentiate between companies that provide platform solutions (like Microsoft and Adobe) and those that offer point solutions, highlighting the need to identify resilient firms.
Conclusion The episode weaves together discussions on AMD's underwhelming sales forecast, the ongoing tech market sell-off, and significant moves in the AI sector. As investors brace for earnings from major players like Google and Amazon, the potential for AI to disrupt traditional software markets remains a pivotal concern among stakeholders.
Key Takeaways
- AMD's sales forecast failure leads to significant stock declines.
- The tech market is grappling with fears of AI disruption.
- Nvidia's potential $20 billion investment in OpenAI could reshape market dynamics.
- Upcoming earnings reports from Google and Amazon are pivotal for investor confidence.
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This summary encapsulates the essential points made during the episode while offering insight into the broader implications for the technology sector. The focus remains on investor sentiment, corporate performance, and emerging trends in AI and semiconductor markets.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOAMD Shares Sink After Disappointing Forecast
0:45 to 1:52
Discussion on AMD's sales forecast and market reactions.
“You can find new episodes of the Bloomberg Daybreak Europe podcast by 7am in Dublin or 8am in Brussels, Berlin and Paris.”
China's Impact on AMD's Margins
1:52 to 4:00
Analyzing how AMD's revenue from China affects their margins and investor expectations.
“It is on track for its biggest drop since October of 2018.”
AI Disruption and Market Reactions
4:00 to 6:08
Exploring the broader impact of AI disruption on tech stock markets.
“What do we need to know about this in the analog space?”
Earnings Reports Impacting Investor Sentiment
6:08 to 8:23
Discussion on recent earnings reports and their effects on market confidence.
“I think investors are really just sort of thinking, is it worth trying to catch a falling knife?”
Uber's Financial Outlook and Robo-Taxi Focus
8:23 to 11:20
Analysis of Uber's earnings and the implications of their new CFO's focus on robo-taxis.
“And that's going to be really important because that's where we saw Microsoft stumble.”
Antitrust Concerns with Netflix and Warner Brothers Deal
11:20 to 14:01
Exploring the antitrust implications of the proposed Netflix-Warner Brothers merger.
“Of course, this is as the race with China to lead the future of transportation technology heats up.”
Consumer Behavior in Streaming Services
14:01 to 15:10
Explore how consumers interact with streaming services and the implications for market competition.
“Is, for example, YouTube the competitor or is it just other streaming companies?”
Antitrust Politics vs. Regulatory Process
15:10 to 17:01
Understand the difference between political theater and the actual antitrust regulatory process regarding mergers.
“What we showed on the screen a few moments ago and are showing now, that's political theater.”
Global Perspectives on Merger Analysis
17:01 to 18:14
Learn how merger evaluations differ across jurisdictions, particularly between the U.S. and EU.
“I think that's probably one of the more recent examples.”
Industry Reactions to Regulatory Hearings
18:14 to 19:22
Examine the significance of industry leaders' attendance at regulatory hearings and the implications of their absence.
“He's probably smart to take the opportunity to not have to testify in front of Congress whenever he can.”
Show all 19 chapters
NVIDIA's Investment in OpenAI
19:22 to 20:05
Discuss NVIDIA's potential $20 billion investment in OpenAI and its implications for the tech industry.
“NVIDIA is close to investing$20 billion in OpenAI.”
Understanding NVIDIA and OpenAI's Relationship
20:05 to 21:41
Delve into the dynamics between NVIDIA and OpenAI, focusing on their investment strategies and future collaborations.
“Yes, well, the key part is the$20 billion potential investment in OpenAI's current funding round is almost done.”
Current Trends in the Tech Market
21:41 to 22:40
Analyze the current state of the tech market, especially in software and hardware amidst AI advancements.
“And then at the same time, we see NVIDIA in talks and as we've reported finalizing this very large sum in the current round.”
AI's Impact on Software Valuation
22:40 to 24:16
Explore the narrative that AI could replace software and its implications for tech companies' business models.
“Look, the move has been accelerated, of course, by Anthropic, introducing a new AI automation tool, fueling disruption fears across industries.”
Microsoft's Performance Amid Market Challenges
24:16 to 26:38
Understand Microsoft's performance in the market, focusing on its Azure growth and challenges in different segments.
“What do you want to hear and see in the data to show that these companies can weather it?”
NVIDIA's Future with AI Training Models
26:38 to 28:07
Discuss NVIDIA's strategic focus on building relationships with AI companies for future growth.
“and that's got to do with memory pricing.”
Dave Clark on Augur and Supply Chain Innovations
28:34 to 34:30
Dave Clark explains Augur's role in supply chain technology and its partnerships.
“Meta Reality Labs, well, it's just selected the startup Augur to provide the operating system for the company's supply chain.”
Positron AI and the Future of AI Inference Chips
34:30 to 39:57
Mitesh Agrawal discusses Positron AI's innovative approach to AI chips and funding.
“Great to have you here on Bloomberg Tech.”
Alphabet's Earnings and Market Trends
39:57 to 42:00
Discussion on Alphabet's earnings expectations and market dynamics.
“Alphabet's earnings, they come out after the bell.”
Transcript
Automatic transcript. May contain errors.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.
0:37So 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 Ludlow in San Francisco. This is Bloomberg Tech coming up. AMD shares sink after a sales forecast that underwhelms investors. The chipmaker perhaps not making the AI inroads some on Wall Street had hoped for. Plus, the sell-off continues across tech markets as fears of AI disruption take hold, following Anthropik's new automation model. And Bloomberg reports NVIDIA is nearing a deal to invest$20 billion in OpenAI, with the AI company looking to raise up to$100 billion in its new funding round. AMD is ugly. Right now, the stock down 15%.
1:56It is on track for its biggest drop since October of 2018. That is how severe this sell-off is. Let's get to the numbers. It's projecting sales in the period roughly$9.8 billion plus or minus$300 billion. That was above consensus estimates. But go into your Bloomberg terminal and you'll see at the high end of the range's forecast, many expected sales to be$10 billion anyway. Then there's the China issue. They had China revenues, but it weighed on margins. AMD's results, let's react. Kunjan Sabani of Bloomberg Intelligence, who in his React piece, in his research, you talk about the impact of China.
2:35Good. We recognize some revenues. It impacted margins. You talk about the CPU, GPU ramp. That's not coming until the second half of the year. Take it from there. Yeah, I mean, fundamentally, there was nothing wrong in this report. is just when you take out the China revenues, the 390 million and the 100 million for the guide, the beat magnitude was really modest and that didn't hit at par with the lofty expectations. Again, most of this was known. So I'm very surprised to see a stock reaction that we're seeing today. So the surprise, what in terms of what enthusiasm had been baked in that shouldn't have been, Kunjan?
3:11How far had the market moved past already the bullish tone that we get time and time again from Lisa Su? Yeah, it's about now waiting about the next GPU inflection point, which we knew is not going to happen in this quarter or next quarter. It is for second half 26. Remember, there has also been that noise in the market around delays with their ramp of the 450 series. None of this was shown in this report. I mean, we don't expect significant upside right now because most of their customers are really waiting to pick up that server-level Helios rack solution. Right. Also, just on dollar terms, right?
3:46Sequential decline in revenues, maybe. And no one wants to hear that, right? And we'll wait until the rest of the year. Second half of the year can mean June. It can mean December. Who knows? A big piece of M &A in your industry, Texas Instruments, buying Silicon Labs,$7.5 billion. What do we need to know about this in the analog space? Yeah, this is surprising. The last time they did a deal like this was in 2011. Strategically, this fits well. They add a missing piece, which was wireless connectivity in TI's portfolio. But more important, the implications are financially. The key thing you remember here, Texas Instruments trades on free cash deliverability.
4:20So this management has said will not impact that free cash flow, will not impact their dividend, and they'll be able to absorb the capacity in the capex that they've spent over the last three to five years. Kunjan Sfani, Bloomberg Intelligence and all things chip. We have breaking news on Cerebrass. Cerebrass Systems raising a$1 billion Series H at a$23 billion valuation. This is a company that we've been tracking closely. Will they, won't they IPO? Well, right now they're raising around a billion dollars at a premium valuation of$23 billion. We'll get more, Caro, as we get that throughout this day and this week.
4:56There is plenty more news. Hit me with it. There is, because those fears around AI disruption, they're continuing. to ripple through the markets at the moment, Ed. Anthropic, it accelerated the sell-off in software stocks after it rolled out that new AI automation tool. Remember, Gequities reporter Carmen Reinecke has been following this story. I mean, the numbers are gargantuan. I think it's something like$2 trillion has been wiped off that Goldman Sachs software index more broadly since its highs. But what can stop the rot right now? Because this has gone global. You know, that's such a great question.
5:26And we're really seeing such a broad sort of reaction to the software sell-up. I mean, we know that software has been beaten down. We're seeing more, you know, sort of stocks kind of join in the fray off of this latest anthropic tool, but it's also kind of spreading into the hardware stocks. We're seeing NVIDIA down, you know, Google down. Interestingly, Microsoft is up a little bit today, sort of rebounding, I think, from a sell-off from its earnings report. But it has spread even into the European markets and others as well. So it looks a little bit like a washout. I think I have heard investors start to say that maybe this is a place to start nibbling.
6:00You know, there could be really a rally if software sells off too much. You know, many stocks in the index are in oversold territory. So we could see, you know, some rebound, some reinvigoration in that trade. I think investors are really just sort of thinking, is it worth trying to catch a falling knife? Carmen, bring us some of the action of today, Wednesday's session, right? Because to be fair to our audience, this is a conversation we had yesterday. It is a multi-day story that's playing out. What's new in the market this morning and what are we looking for next? Yeah, I think that there are multiple things going on here.
6:34So we're not only seeing this pressure on software, but we've had a couple of few earnings reports that have stumbled that I think are adding. So Microsoft up a little bit today, but that report injected some jitters into the market and also AMD as well. You know, it really showed that even if you have a pretty solid guidance, it might just not be enough for investors to continue to buy your stock. So we're seeing that as well. And, you know, coming up, we have Google Alphabet reporting tonight. We have Amazon tomorrow. So there are just a lot of catalysts that are coming into the market right now that are shaking investors' confidence in the sector.
7:09Of course, many pinpointed Anthropics legal offering, but we saw Google out with its gaming offering that had seen a lot of hit to some of the gaming software names. But I'm also interested in we're a public market identifying show right now, but private markets, in particular, the debt markets, we're seeing them roiled as well. And it's impacting certain PE houses. Exactly. Yeah. So there's just been a major sell out there as well. This I mean, this idea of contagion, I think, is huge. Right. And the pain here from software spreading into all these other parts, not just equities, is really prescient right now.
7:45So until there's sort of this idea that there can be a rebound, I think it's likely that we see that continue to spread and investors sort of continue to question what's next for this sector, especially if AI is going to eat the lunch of these companies. And by the way, guys, brace. Earnings is still happening, right? So, like, there's all this news flow and there's market moves on a sort of macro concern about AI labs eating the lunch of software companies. Alphabet's going to come out and it's going to tell us about how it's doing. I mean, how does that function into your week, fit into your week, sorry, Carmen, the earnings story?
8:18I mean, they're going to be huge. I think the thing that we're looking at the most for Alphabet and Amazon are these cloud numbers. And that's going to be really important because that's where we saw Microsoft stumble. So, that's what I'm going to be really laser focused on to see. I mean, obviously, all of these businesses are different. there are other components at play with both Alphabet and Amazon. But the cloud figure is going to be absolutely the most important thing and could really move these stocks in either direction going forward. Bloomberg has come, Reinecke, all over the software space.
8:50Thank you very much. Earnings again, shares of Uber. This is so interesting. We're down 3 % now. In the pre-market, we kind of swung to a gain. We've been down like 9 % in the pre-market. I'd call this a mixed bag. The company posted a weak profit outlook and announced a new CFO with a focus on a robo-taxi future and new markets for robo-taxi. Bloomberg's Natalie Lung covers consumer apps, the gig economy, and increasingly robo-taxi. Where do you want to start? Let's go with the financials, the earnings. They gave this adjusted EPS forecast, EBITDA forecast that appeared light. But actually, management had explained some of that already.
9:28Just explain. Yes. So the APS outlook for first quarter came in a bit light. That could be a result of a lot of their new product initiatives. Let's say the low-cost shuttle product at airports and even the high-end premium reserved rides at airports. Sort of these new products not yet yielding the return that they're hoping to see. But they're still hoping that would sort of expand towards this year. That said, like the fundamentals, the demand, underlying demand, especially in the U.S., where they have some of their most profitable markets, is very healthy. They think growth will accelerate there as some of the risks we saw last year, like high insurance costs, they think that will sort of abate this year.
10:18Yeah, gross bookings could be up to$53.5 billion for the current fiscal quarter, Natalie. Dara Cosmoshahi merely trying to talk up some of the healthier pricing. What about this new CFO? What about the focus on RoboTaxi from him? It's interesting. They promoted Pallaji Krishnamurti to the role of CFO. He's one of the more outspoken autonomous bulls. Among the leadership, he's always on X, defending Uber's AV strategy. And so we'll definitely see Uber double down on that sort of narrative, trying to combat what it calls misconceptions among Wall Street bears on how it's going to facilitate and support the EV ecosystem rather than completely be disrupted by rivals like Tesla or Waymo.
11:06And Waymo they partner with often as well. Natalie Leung, we appreciate the breakdown and talking of EVs. The Senate Committee on Commerce, Science and Transportation is holding a hearing on the future of self-driving cars right now to assess existing autonomous vehicle regulations. Of course, this is as the race with China to lead the future of transportation technology heats up. witnesses are from Tesla, from Waymo and others. They're participating. If you want to follow along, just go to LiveGo on the Bloomberg Terminal. Ed. That's Tesla's Lars Moravi on the screen right there. We'll track the headlines.
11:36Coming up, Jessica Malujan from the Competitive Enterprise Institute joins us to talk about antitrust concerns from a Netflix Warner Brothers tie-up. We have more on that in a moment. AMD sell-off accelerated in the last few minutes at one point down 16 percent, already on track for its biggest declined since October of 2018. A forecast for sales in the current period that at the high end of estimates was disappointing, but also a sequential drop in revenues. And we are waiting on this big GPU and server design moment that isn't coming until the second half of this year. It's one we're going to watch for the hour.
12:10This is Bloomberg Tech.
12:21This deal keeps one of the most iconic Hollywood studios healthy and competitive. Warner and Netflix together will create value for consumers, more opportunities for the creative community, and more American jobs. Netflix co-CEO Ted Sarandos there testifying before lawmakers about the company's plan to buy Warner Brothers streaming and studio divisions. Sarandos also said yesterday that the deal would give streaming consumers more for less, noting that 80 % of Netflix subscribers also pay for HBO Max, currently owned by Warner Brothers. Let's talk through the antitrust concerns with Jessica Malugian, Director of the Center of Technology and Innovation at the Competitive Enterprise Institute.
12:59Jessica, you've actually testified before Congress about streaming competition in previous times. So what did you make of Ted Sarandos and his argument that this is going to give more consumers more to them for less? You know, I think you can buy it. There's so much overlap in people who maintain a Netflix subscription and also an HBO subscription. The companies have talked about how they would be willing to combine those and offer those at a lower price. I think he said as much in the hearing yesterday. So there are competitive concerns that remain for some people. But I think certainly there are efficiencies and overlap because most of this merger is a vertical merger.
13:38There's pieces that one company doesn't have that the other one does. They're going to fit them together. And that could be substantial cost savings that one hopes get passed along to consumers. What was interesting amid the politicking that goes on on Capitol Hill in these sorts of hearings, the time and time again iteration we hear from our guests is it all depends on how the market is defined. Now, how are you defining this market? Is, for example, YouTube the competitor or is it just other streaming companies? You know, I tend to come at it from how do consumers actually use these technologies?
14:10What would they reach for as a substitute if Netflix weren't there or Warner Brothers streaming services weren't there? How do we actually behave, I think, is the most common sense way to approach that. And I think in the way that we see users sit down, they plop on their couch, they go to the TV, what do they put on? And it's very difficult to exclude YouTube, YouTube TV from that because that's how people use it. That's the way we're living now. So I think if regulators are trying to get to the closest version of what the real competitive effects are, you have to say, how is this actually happening with consumers and in the market?
14:45And I think it means a more broader definition of the market, which puts them more at a 10 percent market share, roughly, if these companies combined. If you exclude things like YouTube and you want things that look just exactly like Netflix does, that's how you get to your 30 percent market share mark with triggers, a bunch of stuff in antitrust litigation that would make it more difficult for this merger. Jessica, in antitrust, there is political theater and then there is actual process. What we showed on the screen a few moments ago and are showing now, that's political theater. Doesn't it matter really whether the DOJ takes an action here and that actually regulators are paying attention beyond the senators that pose questions in that room?
15:34No, that's exactly right. There was a lot of political hay made. And I will point out that the Senate doesn't actually have any direct jurisdiction over this merger. That's all happening at the DOJ. And if they follow traditional U.S. antitrust laws, they're going to look at how do we define what the market is so we can think about what the market shares involved are here. And then once you get past all of that, the question becomes on net, generally on balance, what we can predict into the future. Are there potential consumer benefits here to these two companies merging that might outweigh some of the competitive concerns that we heard mentioned yesterday in the hearing?
16:12We've been asking this question consistently. And in a process, it's probably right to ask the same question consistently, which is, is there any past precedent that we can look to that would suggest the outcome of this proposed merger? In the regulatory sense, I don't know. It's, you know, Washington these days is setting precedent every day. But I think in the market, you could look at something like the T-Mobile Sprint merger and say, you know, that took two competitors into being one. But that one bigger, better, stronger competitor was able to make it three big guys on the scene alongside Verizon and AT &T instead of two, which those two individual companies at three and four wouldn't have been able to challenge the big two.
17:00So I think there's precedent in how things actually work in the real world that say a lot of times mergers can be very productive, very good for the economy, for stockholders and for consumers. I think that's probably one of the more recent examples. Consumers are the focus, though, right, in America at least. How are you looking at how other jurisdictions are going to analyze this deal? Because these are global companies. Yeah, they're going to have to go within the U.S. They're going to have to talk to some state attorney generals and they'll have to deal with the DOJ's assessment. But you're absolutely right.
17:34Internationally, the standards are different here in U.S. antitrust law. You know, it's all still the consumer harm standards. So even if there might be some concerns with labor, that's part of the discussion. But really, the lodestar is do consumers benefit from this in terms of maybe lower prices, more innovation, more output? There's lots of things to look at there. But that's not the case, for example, in the EU, where the focus for regulators is much more concerned with the effect on competitors to these companies and not so much just consumers. Now, someone turned down going for the political theater, and it was David Ellison over at Paramount Skydance.
18:12He wasn't there. I'm sure he was tuned in. What do you think it states in terms of him not wanting to go and address his own concerns or indeed whether he'll have his time to be able to discuss what a potential merger looks like with his business rather than that of Netflix? I don't know. He's probably smart to take the opportunity to not have to testify in front of Congress whenever he can. We watched those two executives yesterday earn their paychecks. But, you know, the paramount stuff lingering on the sideline is sort of like a whole different bag of raccoons waiting in the wings to see how that interacts with all of this.
18:46Maybe not at all. If the board doesn't approve this, then that pretty much goes away. But hopefully it doesn't have any effect on what the board decides that they want to sell and they want to do. And hopefully also it doesn't have any impact on the regulatory structure. There's economics to be applied to this. there's consumers to be looked out for. And that should be a very dry, boring story that I hope we'll see sooner rather than later. Jessica Malujan, Director of the Center for Technology and Innovation at the Competitive Enterprise Institute. Thank you very much.
19:29NVIDIA is close to investing$20 billion in OpenAI. That's according to sources. The deal if completed, would be the chip maker's single biggest investment in the chat GPT developer. Both companies declined to comment on Bloomberg's reporting. Let's get the details with AI reporter Shireen Ghaffari. So Jensen Wong has walked in front of a camera quite often recently. Sam Altman has taken to social media and also been on stage. You and I, our best understanding and reporting from sources is that actually for all the noise, this transaction's almost done. What do we need to know? Yes, well, the key part is the$20 billion potential investment in OpenAI's current funding round is almost done.
20:11Now, the bigger question is, what about the overall up to$100 billion commitment that NVIDIA and OpenAI were supposed to agree on? They're still finalizing that agreement. That is still yet to be determined. Shereen, did everything just get very confused? because at no point did it feel like in what was originally$100 billion up to agreement on paper that was going to be in exchange for gigawatts coming online was in any way sort of also bounded around the actual funding round of OpenAI. Can you just make a clear line of what we expected NVIDIA and OpenAI's relationship to be like from that September announcement?
20:52Look, I think what we're seeing in these larger and larger mega funding rounds that both OpenAI, Anthropic, and others are doing, is that strategic investors are increasingly getting involved, right? So we are, you know, it's expected that it's not just going to be VCs, it's also going to be these large tech companies like NVIDIA who are investing in rounds. $20 billion is a lot for NVIDIA, but obviously up to$100 billion is a lot more. When they made that announcement of up to$100 billion, they didn't say over what time period. They said it was a tentative agreement that has yet to be finalized.
21:24And they also said that it would be contingent upon certain milestones around how OpenAI deploys its chips, its compute power. So there's still details to be sorted out. I think what's sort of confusing is when, you know, there's reporting out that the deal has yet to be finalized, that there may be tension. And then at the same time, we see NVIDIA in talks and as we've reported finalizing this very large sum in the current round. And, you know, it can be true that two things are happening at once, right? So there can be a big investment in this current round, and there can be uncertainty about how much more NVIDIA might give in the future and, you know, what milestones OpenAI may or may not hit tied to that larger investment.
22:05Well, excited for the rest of your reporting on the current round and who else is involved. Shereen Ghafari, we thank you very much indeed.
22:18Welcome back to Bloomberg Tech. If you're just joining us, the technology picture in equities, public markets, it's pretty ugly. The earning story is a big part of that. AMD is now on track for its biggest drop since 2017. But there are other stories out there, right, Cara? There are. The software sell-off is a key one. It's continuing with the sector already trailing the S &P 500 as its investors reassess valuations and business models in the face of this rapid advance in AI. Look, the move has been accelerated, of course, by Anthropic, introducing a new AI automation tool, fueling disruption fears across industries.
22:53Now, here to discuss the tech market impact in both software, but also in hardware, is Halen Loven and Portfolio Manager Uday Chiruvu. And Uday, in fact, a lot of the software names that you analyze are bouncing today. I'm looking at Adobe, for example, Microsoft, which is all things to all men. We've also got the likes of SAP that just managed to push up a little bit today. But this software pain, what do you make of it? Look, I think there's a narrative out there that AI is going to eat up software, that AI is going to replace software. And that's dominating right now in the sense that investors are putting high probability to do that.
Read the full transcript
23:26What we look at as long-term investors is say that there's a range of outcomes that are possible. AI could be complementary and supplementary to software and not just replacing software. And that's how you have to think about it right now in a market where everything's blowing up. It looks like, hey, there's pain coming left, right and centre. is step back and think about what are the sort of companies that can go through this sort of environment, go through this transformation of technology and still come out to the other side holding their own. And in that sense, Microsoft is one of those companies that we think can do that.
23:59What have you analysed to get that comfort? Because there's much to say that not many of the seats that are actually being paid for for Copilot are being used. I think about Adobe's been on the offensive. There's a story out today showing how they've ramped up advertising by 30 % to try and highlight their own AI tools. What do you want to hear and see in the data to show that these companies can weather it? So I think before we get to the data, what we need to understand is what is the type of software that these companies are selling where their point solutions, say, for example, on the legal side, you know, LexisNexis, maybe there's a reason why that can be displaced more by AI, which does point solutions.
24:35But Microsoft and Adobe, they do platform solutions. What they do is not just function for the user, they manage the whole workflow. The whole process of a company set up in this in companies like Microsoft or SAP, those companies from a product perspective are much more entrenched. So that's the starting point. The second point we do look at is from a data view per seat. Is the revenue per seat going up? And why is that going up? Is that just from pricing or increasing the number of tools that are being used. And if you look at the evidence, there seems to be an improvement for Microsoft. The co-pilot is going up.
25:11Now, is the pace of that going up differently to cloud co-work and what they're announcing? It would be because one is an enterprise product and one is much more an experimental product right now. So the growth rates would be quite different. So that's what we're looking at, the data points of the number of users, percentage of take up in terms of new products and tools. Uday, it's great to have you on the program at this moment in time, in particular. Microsoft is a name that you hold in the portfolio. It's probably worth just looking back a little bit and asking what you learned from that earnings print because, of course, the market reaction in the moment was pretty severe.
25:46But what was the bigger picture for you? The bigger picture for us is the fact that Azure is continuing to grow. Yes, it missed the bogey of 40 % growth. It came at 38%. To us, that matters much less than the fact that the reason that they missed is because their capacity constraint. And the reason why their capacity constraint is two years ago they made the decision to wait and see instead of growing their data centers just in anticipation of demand. So that shows us the management mindset is that they will build for as they see demand, not just anticipating demand and that's why the growth is constrained and that's why their growth for the next quarter is constrained.
26:25So to us, that's not the end all and be all so therefore missing that small number is not a bad thing. But what we do like is the fact that on the office side, on the commercial side, growth remains very strong. The part that missed was their personal computing, and that's got to do with memory pricing. Now, when you come back to hardware, huge memory price increases, there's going to be demand destruction, and that's what Microsoft is seeing. So to us, put all that together, this doesn't change the long-term valuation picture. The fact that they continue to allow other LLMs LLMs and other models into their Azure infrastructure means that they benefit from the overall growth in the AI ecosystem.
27:06Bloomberg's reporting that NVIDIA is close to confirming its$20 billion contribution to the open AI round that's ongoing. That, of course, comes from sources. But that's my best understanding. As a portfolio manager that holds NVIDIA and looks at NVIDIA, how much do you care about that story? NVIDIA's financial investment in open AI? The financial investment is, this quantum of that financial investment is not that important. It's what's the relationship that they're building up with open AI and how they're driving open AI in terms of their usage of NVIDIA. Because the long-term story for NVIDIA is how much of your chips are going to be used in the next generation of training models.
27:48How much is going to go to the ASICs that the companies like Google and all are coming up with. The more the deeper their relationship with these AI frontier model companies is, the more likely they can, you know, their design roadmap will tailor to these companies and therefore they become more entrenched. What you want to see is companies getting more entrenched and invest in those companies. Good day, Shurubhi with Harding Loan. It's great to have you here on Bloomberg Tech. Thank you very much. Coming up, Amazon's former worldwide consumer chief, Dave Clark, joins us to talk about his new supply chain software startup, Augur.
28:25That's next. This is Bloomberg Tech.
28:34Meta Reality Labs, well, it's just selected the startup Augur to provide the operating system for the company's supply chain. Now, the startup was founded by the former head of Amazon's supply chain itself, Dave Clark. Okay, CEO, founder, joins us now, your co-founder, along with your partner. And I'm interested, Dave, as to what this is going to mean for all those that want the latest, greatest hardware from Meta. How much quickly will it be in their hands? Well, good morning. Thanks for having me on. We're excited to be working with Meta in this way. We're in the midst of deploying software now.
29:05We'll deploy with them over Q1, Q2 of this year and finalize in Q3. Interestingly, had a little spy on your website. Right. Meta is not the only brand that I saw. Fanatics is another one. How are you scaling new companies to come on and basically be the first customers that you have for this startup? Well, we started building out that we've been building out the products for the last year. We deployed in proof of concepts with customers in the middle of last year, including Meta and Fanatics. And so what we've been doing is building the platform for how you're going to build an autonomous operating system for supply chain.
29:43At its core is really the contextual infrastructure for data across the supply chain world that makes it happen. And because we build it as this platform of infrastructure, it's very scalable from customer to customer. Dave, without trivializing it, why the name Augur? What does it represent? I think that might give us an insight into what the company is and what it does. Well, if you think about the big challenge in supply chain is really trying to connect all of this disconnected data together to make it reason together, to create a layer of contextualization and understanding. And to do that, you really have to have both the technology and the knowledge to drill down into an organization, to drill into the process of how they work, to enable that.
30:33And so Augur fit a lot of, you know, things that we really liked and had some meaning behind it as well for, you know, how to think about it. Also, supply chain is a contact sport. Like this is not, you know, the world wakes up every day trying to wreak havoc on supply chain planners around the world. And so we thought it was a it was a framing that sort of represented the grit and determination and sort of just grind through it that represents operators around the world. We're showing video of how the software, the platform works. We know you from your time at Amazon, right, and your experience of global supply chains.
31:10You had a brief tenure at Flexport, and maybe we'll get into that another time. But I don't know you as a software guy. How did you build this platform? What are the people behind the core competency here, please? Yeah, well, I mean, if you think about, I mean, Amazon is in many ways a supply chain technology company at its core. You know, we had, my team had thousands of software developers, you know, the last mile technology teams, the robotics teams, the inventory forecasting, ML neural network teams. You know, so while I'm not, I don't write code for a living, I've been leading and working with software teams for, you know, two decades now.
31:51And we have a phenomenal team of people, many of whom were from folks I've worked with in my past lives and some new folks that have joined us from other places. But the unifying bit of the whole group is people incredibly passionate about customers, incredibly curious about the technology that's coming out in the world and incredibly fast at delivering output for the people we're working for. is an agentic technology that's going to drive us forward in many ways, Dave. But what's so interesting is I see the retail benefits. I see the e-commerce lived experience, and I can see what's happening with Meta and Fanatics.
32:29But how does this expand? Supply chains is something we talk about in every type of industry right now, and particularly in a national security context. That's right. I mean, at the core of this thing is really, while agentics is the subject of so much of the conversation, the way you make agentics work is through context. You know, context is king. And our core platform is really about context enablement across large global enterprise data sets, unifying thousands of tables into one operable platform of data that agents can actually then work with for autonomy. And so that's extensible in all aspects of the world.
33:08Our early customers today are focused more in the consumer space, but we're also partnering, looking at working with governments to enable process flow. You can imagine the kind of work that needs to be done to connect sovereigns, not just companies. And we think that's a big expansion area for us as we move forward in the next month. Taking a step back, we are currently in a day of trade where anxiety runs high on AI disruption of software companies. And I'm interested as to how you felt that Olga is something you needed to build for yourself as an operating system, rather than companies plugging in what is currently being developed by large language models.
33:49Well, as I said, I think the large language models can only do so much. Large language models are fantastic, but they're limited by the context you provide them. And what was missing and what I saw nobody building was the contextual infrastructure to make supply chains work as a unit. And so we felt we had the right technology background. We had the right operational background, sort of right team, right technology, right time to go out and do this. We think it's one of the sort of few big enablement plays at a global scale to really you can really go out in software and change the way the physical world interacts.
34:30Dave Clark, CEO of Augur. Great to have you here on Bloomberg Tech. Thank you very much. Let's get to the world of inference. Positron AI has raised$230 million in a Series B funding round, valuing the company at over a billion dollars. The AI chip startup is working to compete with NVIDIA by developing energy efficient chips for AI inference. Joining us to discuss, Mitesh Agrawal, Positron CEO. Mitesh, it is good to see you. Thank you for coming on the show. We have to say we have a new inference chip name on the show on a weekly basis at the moment. OPUs right through to the next generation of accelerator for inference.
35:07We'll get to the money, but what is the Positron elevator pitch? What is it you're doing differently that really would allow you to take on NVIDIA in the market for inference? Yeah, it's AI Silicon focused on memory architecture. For inference, it's clearly memory bottleneck, both on memory speeds and memory capacity. Positron has deployed, and Our first generation product already and our building, our second generation, which is very much focused on building the memory closer to the systolic array. So very, very fast on decode speeds. And then second is having massive amounts of memory capacity directly attached to the chip.
35:44Our second generation will be the world's first terabyte memory chip going up to 2.3 terabytes of attached memory. For comparison, NVIDIA Rubin will launch with 384 gigabytes end of this year. So that's where we are really focused on. If you think about decode applications, video generation, code generation, reasoning models, that's the current bottleneck. Very large models as well. You know, Mitesh, this issue like latency, for want of a better expression, the giant that is NVIDIA is looking at optics as well within the server design to overcome that. They've got a lot of cash to do it. You now have$230 million.
36:21How's that going to help you progress it? Yeah, I think, look, obviously you can't do cache-to-cache comparison. I think the research directions are different. I think that's where our technology is completely different. Well, NVIDIA is looking at optics to scale out over a rack scale, data center scale, because they have to connect multiple chips because they're limited on memory. We are kind of bringing the scale out a little bit inward. We are saying that by having that much memory, you still have to do scale out when the models are going to be 10 trillion parameters long or large. but the point is you have to do it less so you can consume less chips, you consume less power and so on, right?
36:59So it's a different type of architecture than what NVIDIA is focused on. I really do believe that in the world of inference, you're going to see, you've heard the word disaggregation, obviously that's going to come through, but each silicon will have, or silicon architecture will have its kind of niche in terms of what application it really drives through fundamentally more efficiently. It's like the Pareto curve, you know, you are trying to minimize power consumption, you are trying to minimize energy, you're trying to minimize the cost, you know, per token, per video generation, and you're trying to increase the speed of output, right?
37:32And each of the silicon architectures will find its own niche there. And we are right in that space. Is your niche finance? I mean, I'm looking at Jump Trading being one of your investors. And is that sort of a strategic investor? Where do you think that you will be first shipping to? Yeah, I mean, actually, Jump is one of our customers for the first-gen product, and that's the validation that really kind of encouraged us to go out and raise this round. Jump became a customer first. They looked at our first-gen. They used it. They looked at our second-gen roadmap, and they said, look, we've got to invest in this company, and that's kind of how they came as co-lead on the round.
38:09So trading is obviously using a lot of language models, transformer models, autoregressive models for their applications. They're exploring that. It's R &D and expanding, but they're exploring that. And that's kind of where having driving lower latency or allowing very large context length can really make an impact for them. So that's how they got interested. From a strategic point, Caroline, you mentioned we have ARM and QIA. So it's not just customers in finance or certain types of customers. It's the ecosystem players and different types of sovereign and data center players that are getting interested in this space as they look at heterogeneous deployments of silicon for inference for clones.
38:49So we saw Grok, its focus on inference, and its interesting purchase by NVIDIA. How do you see your growth now? You've got money. I'm sure it's about hiring talent and getting and shipping the systems. But with Arm on the cap table, do you see some sort of purchase in your future? What do you want for the business? I think our main focus is how can we deliver maximum enough chips in the world? I think that's really what drives us fundamentally is how can we deploy millions and millions of chips? I mean, we started obviously with just the first prototype. We are in thousands right now, so it's still a long way to go.
39:27NVIDIA is the company in the millions, and that's kind of where we have to reach. Everything that goes by the side, acquisitions, going public, all those things are kind of byproducts of the actual technical product and the consumer and the customer. From a customer point of view, I'll answer you, Carolyn. And I think from our perspective, you know, over 80 % of world's influence gets driven through hyperscalers or associated customers. And that's kind of where we are really aiming to go after from specific workloads to them. Mitesh Agrawal, Appositron, great to have you on today. Alphabet's earnings, they come out after the bell.
40:03We want to hear about what to expect with Bloomberg's Carmen Avroyo. And it's all going to be about cloud, about capital expenditure again. Yes, exactly. I think everyone's expecting a great quarter for Alphabet again. It's going to be a lot of attention on Google Cloud, given that Alphabet basically released Gemini 3 during the last quarter. So we're going to talk about how it's been rolling it out in all the products, how the distribution is going, and basically they're still dominating search, which is expected that they are, and how they're defending that position against other chatbots. Bloomberg's Carmen Royer will be at her desk, primed for Alphabet post-market.
40:37There are many others reporting. Qualcomm is one caro. So, frank reality of it, biggest maker of smartphone processors. We'll learn about the health of the smartphone market, what's going on with memory, supply chain, and general demand. Of course, you know, you spoke to Cristiano at CES, right? They want to diversify into data center, PC, autos, networking, all that. But that's their bread and butter. And robotics as well. Really, the future drivers for this business is something I'm sure they'll be trying to lean upon. But in the here and now, as you say, what is the ramifications of memory prices on some of the other clients that they serve?
41:11How are we seeing Qualcomm brace for what has been just an extraordinary sell-off that we're seeing into the hardware ecosystem as well? But this is as their fiscal first quarter is the one to look at. Look, we've also got chip design in the spotlight, right? Maybe one day it wants to be a chip maker too, but right now it's a designer. And Arm just up 9 tenths percent ahead of its earnings. How are you thinking about the strength of its own design vis-a-vis the competition right now, Ed? Yeah, Jensen Wang and Video CEO changed the game for ARM-based CPU. He said it just a couple of weeks ago. They're coming to market with their CPU as a standalone product.
41:44It's based on ARM architecture. ARM might want to talk that up because that really did send some ripples in the market, CPU right now in demand. Yeah, we're thinking of total revenue, about$1.25 billion EPS estimate, 19 cents. But let's just focus on these markets today because that does it for this edition of Bloomberg TechEd. We are seeing such a significant sell-off across the software names, but in risk assets more broadly. Look, Bitcoin, 73 ,000 where we stand. Yep, at its lowest level since the November 24 presidential election. We have a podcast. You should listen to it. This is Bloomberg Tech.
From the publisher
Bloomberg’s Caroline Hyde and Ed Ludlow discuss AMD’s sales forecast that underwhelmed investors and sent the chipmaker's shares falling. Plus, the selloff continues across tech markets as fears of AI disruption take hold following the release of Anthropic's new automation tool. And, Bloomberg reports Nvidia is nearing a deal to invest $20 billion in OpenAI, with the AI company looking to raise up to $100 billion for a new funding round.
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