In short
Podcast Notes: Bloomberg Tech - Episode: Amazon Looks to Raise At Least $37 Billion with Bond Sale
Episode Overview
- Hosts: Caroline Hyde and Ed Ludlow
- Release Date: [Insert Release Date]
- Main Topics:
- Amazon's significant bond sale to fund AI investments.
- Google's introduction of AI agents within the Pentagon.
- Hewlett Packard Enterprise's positive sales forecast driven by AI hardware demand.
Key Discussions
Amazon's Bond Sale
- Purpose: To raise funds for the AI boom, estimated up to $42 billion (including 10 billion euros).
- Details:
- Issuing US dollar and euro-denominated bonds.
- 11 tranches with varied maturities, the longest being 2076 with a yield of 1.55% over treasuries.
- Market Reaction:
- Initial stock punishments due to high capital expenditure forecasts (~$200 billion).
- Positive sentiment among bondholders indicates confidence in Amazon's growth despite rising debt loads.
- Growing trend of "serial issuers" among hyperscalers, indicating a shift in tech financing dynamics.
Google and AI in the Pentagon
- Integration of AI: Google is set to deploy AI agents to automate unclassified tasks within the Pentagon.
- Current Developments:
- Pentagon's ongoing collaboration with Google amidst challenges with Anthropic.
- AI tools are increasingly being utilized in various military operations, including target identification.
Hewlett Packard Enterprise (HPE) Performance
- Sales Forecast: HPE's CEO Antonio Neri discusses exceeding sales estimates, largely due to AI hardware demand.
- Key Insights:
- Strong growth in AI-related revenues, especially from the enterprise sector.
- Emergence of networking as a critical component of AI infrastructure growth.
- Ongoing supply chain challenges, particularly concerning DDR and NAND memory, impacting revenue potential.
Market Context
- Geopolitical Factors: The conflict in the Middle East is creating volatility in oil markets, impacting investor sentiment in technology stocks.
- Tech Market Trends: Despite geopolitical tensions, certain tech stocks, notably in AI, continue to see upward trends in performance.
Additional Highlights
- AI Startups: Discussion of various AI startups and their financing, including the $550 million raise by Lagora and other emerging players in the legal tech space.
- Oracle Earnings: Anticipation surrounding Oracle's upcoming earnings and its implications for AI-related growth projections.
Key Takeaways
- The tech sector is witnessing significant shifts in financing strategies, particularly as companies like Amazon leverage bond sales to support massive AI investments.
- Growth in AI applications is not just limited to tech companies but is expanding into governmental sectors, notably defense.
- HPE illustrates the critical role of infrastructure and networking in the ongoing AI revolution, as companies adapt to increasing demand for AI capabilities.
- Geopolitical uncertainties may influence market dynamics, but the underlying trend points towards a robust demand for AI technology and infrastructure.
Conclusion This episode of Bloomberg Tech encapsulates a pivotal moment in the tech industry, highlighting how major players are adapting to the rapidly changing landscape driven by AI. The discussions around Amazon, Google, and HPE provide a comprehensive view of the intersection between technology, finance, and global affairs.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOAmazon's Massive Bond Sale Explained
2:38 to 5:48
Explore the details and implications of Amazon's significant corporate bond offering.
“But it means we're actually seeing some push higher in the stock market, a regain on the Nasdaq 100, in fact, a second straight day of gains, Ed.”
Oracle's Earnings and Market Strategy
5:51 to 12:45
An in-depth analysis of Oracle's cloud and AI investments ahead of their earnings announcement.
“I actually think the demand is going to be so strong they're going to come in.”
U.S. Military Updates on Iran
15:21 to 17:09
Get the latest updates on U.S. military actions and Iran's responses.
“As President Trump declared yesterday, we're crushing the enemy in an overwhelming display of technical skill and military force.”
Pentagon's AI Adoption in Defense
17:11 to 20:28
Discover how the Pentagon is integrating AI tools into their operations.
“Bloomberg News is also reporting that electronic warfare is now jamming signals in the critical waterway, which at this point really does remain effectively closed.”
AI Startup Lagora's Recent Funding
20:29 to 22:34
Hear from Lagora's CEO about their recent funding and growth in legal AI.
“Now, coming up, AI startup Lagora raises$550 million, boosting its valuation to$5.55 billion.”
Legal Tech Competitive Landscape
22:35 to 26:14
Explore the competitive dynamics of legal tech, including pricing models.
“You're talking about American law, Nordic law, European law.”
Apple's Product Delays and AI Integration
26:15 to 26:34
Learn about Apple's latest product delays due to AI developments.
“So there's a real network effect within our product too.”
Apple's Supply Chain Shifts to India
26:35 to 28:00
Discuss Apple's manufacturing pivot to India and its implications.
“Technology stocks actually in particular are now pushing higher.”
Apple's Manufacturing Shift to India
28:00 to 30:08
Learn how Apple is increasing its iPhone production in India and its impact.
“They've done this swiftly and effectively.”
Apple's Smart Home Device Developments
30:08 to 31:26
Discover the delayed launch of Apple's smart home display and its features.
“Now here's Ed, and it's time now for Talking Tech.”
Show all 17 chapters
Jan LeCun's Advanced Machine Intelligence
31:26 to 34:18
Explore the vision and funding behind Jan LeCun's new AI startup, AMI.
“Advanced Machine Intelligence, or AMI, is focused on building world models that use visual and spatial data.”
Thinking Machines Lab and NVIDIA Partnership
34:18 to 37:46
Uncover the collaboration between NVIDIA and Thinking Machines Lab and their focus.
“Natasha Mascarenas, just scoop after scoop.”
HPE's AI Demand and Future Projections
40:56 to 42:05
Understand HPE's forecast for AI hardware demand and its implications.
“Been chopping around in the session, but the company gave a strong sales and revenue projection for the current quarter.”
Networking Growth and AI Demand
42:05 to 43:54
Discover how networking is becoming crucial alongside AI hardware growth.
“And that's why we see double digits year over year growth in the order intake.”
Navigating Supply Chain Challenges
43:54 to 46:30
Learn how companies manage supply chain issues and pricing strategies.
“You talk about discipline in what is a very dynamic environment, Antonio.”
Impact of Geopolitical Conflicts on Supply
46:30 to 48:50
Explore the effects of geopolitical tensions on logistics and supply chains.
“You know, look, air freight routes are a little bit more complicated.”
Backlogs and Future Outlook
48:50 to 49:24
Understand the implications of order backlogs on business outlook and guidance.
“And then we raised our outlook for free cash flow by almost 200 million at the midpoint.”
Transcript
Automatic transcript. May contain errors.0:00Antonio Neri:Adobe is turning AI promise into marketing reality. A reality where personalization feels more human, automation feels authentic, and customers feel more connected to your brand. From AI frenzy to ROI, it starts with Adobe.
0:17Caroline Hyde:So there's a lot of noise about AI, but time's too tight for more promises. So let's talk about results. At IBM, we work with our employees to integrate technology right into the systems they need. Now, a global workforce of 300 ,000 can use AI to fill their HR questions, resolving 94 % of common questions. Not noise. Proof of how we can help companies get smarter by putting AI where it actually pays off, deep in the work that moves the business.
0:44Antonio Neri:Let's create smarter business. IBM. Support for the show comes from Public. Lately, it feels like there are two types of investing platforms. Some are traditional brokerages that haven't changed much in decades, and others feel less like investing and more like a game. Public is positioned differently. It's an investing platform for people who are serious about building their wealth. On Public, you can build a portfolio of stocks, options, bonds, crypto without all the bugs or the confetti. Retirement accounts? Yep. High-yield cash? Yes, again. They even have direct indexing. Public has modern design, powerful tools, and customer support that actually helps.
1:22Antonio Neri:Go to public.com slash market and earn an uncapped 1 % bonus when you transfer your portfolio. That's public.com slash market. Add paid for by Public Holdings. Brokered services by Public Investing, member FINRA SIPC. Advisory services by Public Advisors, SEC Registered Advisor. Crypto services by ZeroHash. All investing involves risk of loss. See complete disclosures at public.com slash disclosures.
1:48Ed Ludlow:Bloomberg Audio Studios. Podcasts, radio, news.
1:58Ed Ludlow:Bloomberg Tech is live from coast to coast with Caroline Hyde in New York and Ed Lovellow in San Francisco.
2:09Caroline Hyde:This is Bloomberg Tech. Coming up, Amazon kicks off what is likely to be one of the biggest corporate bond offerings ever in a bid to pay for the AI boom.
2:18Ed Ludlow:Plus, Google introduces AI agents across the Pentagon's workforce to automate routine jobs. This is the Defense Department's fight with Anthropic drags on.
2:27Caroline Hyde:And Hewlett-Packard Enterprise projects sales topping estimates on AI hardware demand. We'll break it all down with the CEO.
2:35Ed Ludlow:But now we break down volatility in the market. We once more focus in on the Middle East, the conflict with Iran, and the fact that it's been upped in terms of aggressive force coming from the US to Iran today, but also aggressive moves in oil markets just drag down 10%, significant volatility in the oil contract. But it means we're actually seeing some push higher in the stock market, a regain on the Nasdaq 100, in fact, a second straight day of gains, Ed. All of this as we think about really the end goal and whether this will be a short-term or long-term conflict.
3:08Caroline Hyde:I'm looking at the latest and what's been a wave of AI-related bond sales, and it's Amazon. So this is what Bloomberg's reporting, both US dollar-denominated and euro-denominated bonds. In the US, 11 tranches of high grade, the longest duration, I think 2056, with a 1.55 % yield over treasuries. But the goal is to raise up to$42 billion, maybe up to 10 billion euros. And we know the story, right? Capital expenditures this year,$650 billion or so across the hyperscalers. And many of them have looked to debt markets, looked to raise money through bond sales to finance that capex. There's a lot to dig into here.
3:49Ed Ludlow:There is. And we're going to continue the conversation there for Edward Robert Schiffman of Bloomberg Intelligence. He's out with a reaction to this morning saying that the bond sale is, quote, likely to draw considerable demand despite a growing absolute debt load that's poised to increase again next year as spending rises. The stock had been punished when they told us that they were going to be spending up to$200 billion on capital expenditures. But the bond market is going to lap this up, it feels like.
4:15Antonio Neri:Yeah, you know, my first thought was, wow, they must be selling a lot of books. My second thought is this is so wildly bullish for the credit markets and in particular for tech. In possibly the worst potential macro environment, bondholders are coming and saying, we want to own you. We want to own you in size. And we're confident that your future growth plans are going to play out. And even though there's so much spending and we know more bonds are likely to be coming, people are going to be lining up for this deal.
4:47Caroline Hyde:I actually just misspoke at the board. I said 2056, actually 2076, the longest maturity that Bloomberg's reporting. Amazon's thinking about the one that would yield 1.55 % over treasuries. How does this kind of stack up in the history of corporate debt markets, recent and historic, right? We talked a little bit about what Alphabet's done most recently. Oracle is a slightly different credit profile, but like a lot of focus on that too.
5:13Antonio Neri:Well, this is going to be the biggest bond deal of the year, it looks like by far. And I'll tell you, I think people just need to get used to this. These hyperscalers are effectively becoming serial issuers. The$100 billion plus debt club is growing. So not only do we have new, current, large needs, but just think about it over the next handful of years as bonds mature. There's always going to be a constant need to refinance and push out the curve. Amazon itself has$20 billion in debt maturing over the next three years. So this is going to be a constant and look for more of this action. Again, I think bondholders can take huge advantage of this.
5:50Antonio Neri:The type of concessions that are being offered here seem wildly wide to me. I actually think the demand is going to be so strong they're going to come in. dramatically, maybe 20, 30 plus basis points.
6:00Ed Ludlow:And they're tapping just every type of part of the market. You've got like 19 different tranches, so different expiration dates ultimately of when the debt is going to be coming due, but also different currencies as well. How are they managing to satiate all the type of investor out there?
6:17Antonio Neri:You know, we talked about this when Alphabet came, that they were doing small tranches of Swiss francs and British pounds and why they weren't tapping the euro market. You know, the euro market is widely, I think, under-invested in technology. And they're somewhat probably price agnostic. They're willing to take down any Amazon bonds across the curve almost at any price because they're so underweighted. So I think there's a huge untapped market there that we're going to see other companies come
6:44Caroline Hyde:and grab as well. That's the Bloomberg Intelligence React from Robert Schiffman. I would say the details of Amazon's bond sale are according to Bloomberg sources. And Bloomberg saying that the US side at least might price today. A separate story, a court ruled that Perplexity must stop using its Comet web browser agent to make purchases on Amazon's marketplace. Amazon sued, accusing Perplexity of computer fraud for not disclosing when Comet was shopping for a user and refusing to stop when asked. The order also bars access to password-protected parts of Amazon systems and requires destruction of Amazon data with enforcement paused for a week to allow for an appeal.
7:24Caroline Hyde:Perplexity has yet to respond to messages seeking comment. Cara.
7:28Ed Ludlow:It's a vast company that, of course, is about e-commerce and about cloud. Let's talk about Oracle now because it's about cloud and software and its earnings are after the bell. It comes after recent Bloomberg reporting that Oracle and OpenAI have ended plans to expand that flagship data center project in Texas. What will investors be looking for in the company's results? We want to talk it all through with Gabriella Borgias. software sector analyst at Goldman Sachs Research. How much of this is a test of Oracle's all bread and butter of software or a test of how much investors are willing to, well, stomach the capex of getting into the cloud and furthering the AI focus?
8:05Yeah.
8:06Ed Ludlow:Hi. It's great to be back. Good morning. I think you touched on it perfectly there where the capex makes sense if you can justify the unit economics that are attached to the AI infrastructure projects. And so Oracle has given us a couple of nuggets in this regard. They've told us that they expect to be able to spend less than$100 billion in debt raised in order to be able to fulfill north of$500 billion in cloud backlog that's now on their balance sheet. Those are commitments from customers for the next five, six years. They've also told us that the gross margin on these projects is 30 % to 40 % over the lifetime of a contract.
8:42Ed Ludlow:So that's typically five to six years. And so if you put those two data points together, whatever incremental information we can get from the management team tonight that helps make this less of a black box, I think will go a long way. Because we are worried about turning cash flow negative. We are worried about maybe some of the ability to drive revenue growth to substantiate the capital expenditure spend. What do you need to see in terms of growth and pointing to growth? Because the stock is actually pretty cheap now. Yeah, so when you actually break down the phases of the different facilities coming online, so Abilene, for example, in Texas, that's a 1.2 gigawatt capacity facility, where Oracle has already said that the 4.5 gigawatts that will be coming online to fulfill their existing commitments, they already have all the leasing agreements for that already signed and ready to go.
9:33Ed Ludlow:What happens next is as the revenue comes online, what we expect to see is really nice gross profit acceleration in Oracle's full-code business that includes the big part of OCI that's tied to some of these contracts that's Oracle Cloud. We expect to see that as we go through the year. And so what we've noticed over the last three or four quarters with Oracle is that it's less about the specific numbers and some of the short-term dynamics in a given quarter and more about what they say about their ability to fulfill some of these contracts over a longer timeframe, which is why just taking a step back, I do think you'll see first profit acceleration and investors will be looking for that as we go towards the end of this year.
10:10Caroline Hyde:Gabriela, I hear you on that. But the street's expecting the infrastructure unit to grow almost 80 % in the quarter. What if they're off by a few percentage points? Because in general, that's been the formula, right? A very high bar for tangible AI-related growth in those infrastructure divisions?
10:31Ed Ludlow:Yeah, I think you're making a really good point here because we have seen for a couple of quarters now that the OCI estimate intra-quarter can move around. And part of that is the timing, if any, one piece of facility coming online. I do think, though, what we're seeing from a demand signal standpoint is still very strong. And coming back to Abilene, Abilene has been ramping really nicely over the last three months. The one other thing I'll say is Oracle stock does react to reports of potential delays, for example. So as we've gotten more headlines out of the news flow over the last two, three months now, I think expectations do move around.
11:07Ed Ludlow:All of which is to say what we've seen during software earnings season is you've got to have a clean print for the stock to work on the print. And so, Ed, I hear you there. It's got to be a clean print for the stock to work on the print.
11:18Caroline Hyde:What I reported with the team in the case of Abilene was that simply Oracle and Crusoe decided not to proceed with an expansion from 1.2 gigawatts to 2 gigawatts, and that Crusoe was negotiating with Meta to come in and take that additional capacity, which many of your colleagues on the sales side pointed out might not have been reflected in RPO anyway. But what the story does highlight, and you made the point a moment ago on the 4.5 gigawatts agreed, is concentration risk on one customer, which is open AI. Is that something you model for?
11:51Ed Ludlow:Yeah, we do actually in a couple of different ways. So, we take a discount to our open AI forecast and to what Oracle has said their open AI backlog is to account for dynamics like the one you're talking about, the extreme customer concentration risk. The other thing I'll mention here, though, is Oracle will tell you that they can have fungibility of CapEx. What does that mean? That means you can actually reconfigure a training cluster to be able to serve inference use cases. It means you can reconfigure for one customer to serve another customer. So, there is some fungibility there. What that means is that if AI demand remains strong and that in turn relies on enterprise AI adoption, which we've spoken about before, then someone should be able to come in and pick up that CapEx in the event that it needs to be moved around.
12:35Ed Ludlow:And it comes back to this idea of fungibility.
12:39Caroline Hyde:Gabriella Borges, Goldman Sachs Research Analyst, looking ahead to Oracle, which is after the bell. Thank you very much. So coming up, we're going to have the latest on the expanding use of AI by the Pentagon. That's next. This is Bloomberg Tech.
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14:53Antonio Neri:That's public.com slash market.
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15:21As President Trump declared yesterday, we're crushing the enemy in an overwhelming display
15:27Antonio Neri:of technical skill and military force. We will not relent until the enemy is totally and decisively defeated.
15:37Caroline Hyde:That was U.S. Defense Secretary Pete Hegssef weighing in on the war in Iran during a briefing. The Pentagon says it's conducting the most intense day of attacks yet. This is the Islamic Republic has been firing drones and missiles at targets across the Middle East in return. Let's bring in Bloomberg's Washington correspondent Tyler Kendall. I saw a lot of the headlines on the terminal this morning, for example, around drone activity in the Gulf, the UAE. we continue to hear from this administration on or at least field questions on the timeline for this war. What's the latest we need to know?
Read the full transcript
16:10Ed Ludlow:Yeah. Hey, Ed, good morning. Well, as you heard there, Secretary Hegseth said that the U.S. will, quote, not relent until all of its objectives are achieved. After yesterday, President Trump appeared to suggest that the U.S. was ahead of schedule when it comes to maintaining its goals in the region. But then we heard from Iran this morning in a new statement from the country's parliament speaker saying that Iran is, quote, not at all interested in a potential ceasefire deal. And the IRGC released a statement overnight vowing to continue to block oil exports. Now, President Trump yesterday had threatened to widen the list of U.S.
16:47Ed Ludlow:targets to electricity infrastructure if attacks in the Strait of Hormuz and disruptions do continue. I will point out that the president reiterated that he is prepared to send a naval escort into the strait to help those tankers through. But when the Joint Chiefs of Staff Chair, Dan Cain, was asked about this earlier this morning, it does not appear that any of those plans have been put into motion. Bloomberg News is also reporting that electronic warfare is now jamming signals in the critical waterway, which at this point really does remain effectively closed. And in Caroline, within the last hour, we got the headline that G7 nations are now asking the International Energy Agency to prepare scenarios for the potential release of emergency stockpiles as these oil flows continue to be impacted in the region.
17:32Ed Ludlow:And the oil market certainly moves. And despite the news flow, Tyler Kendall, we so appreciate it. Let's stick with defense news because Bloomberg has learned the Pentagon plans to add Google's AI agents to handle unclassified work and is in talks to bring those tools to the classified and top secret cloud. Bloomberg's Katrina Manson has been reporting on this and in fact continues to report at the very edge of AI adoption within the Pentagon. Look, what is Emil Michael talking about in terms of Google? Is this because they're having to force that anthropic? This, I think, is fair to see as separate.
18:06Ed Ludlow:When Emil Michael came in in this senior role, very focused on AI back in August, he told me he was shocked that the Pentagon had adopted so few AI tools. It's brought in chatbots. That's thanks to Gemini. It's had those for the last three months. 1.2 million people in the Pentagon have used those or in the defense department writ large. Now they're adding agents. So that's going to automate some tasks that corporations, of course, across the country are already trying. But it is interesting timing because at this very moment, they're bringing Gemini agents onto unclassified networks and really quite pleased that they have this partner in Google at a time that clearly Anthropic has been cut.
18:47Caroline Hyde:24 hours ago on this program, we broke the news of Anthropic's suit against the Defense Department late yesterday evening. We got more of a detailed response. What is the Pentagon's official position and what does it see in this suit from Anthropik against it?
19:05Ed Ludlow:Emil Michael told me that he was expecting this. He doesn't think that bringing this to the courts is a way to resolve this problem. And he said, Komi, quite simply, we're moving on. So I do think that in this news today, the focus on Google. Of course, they've recently struck deals with XAI and OpenAI to start operating on the classified cloud. The Pentagon is really saying we have three partners now that we feel comfortable with and we are not expecting to go back to anthropic. Can you give us the context of just how much AI is playing a role within the very here and now geopolitical issue of Iran and the conflict there?
19:42Ed Ludlow:From our reporting, we understand that But CENTCOM, the US Central Command conducting the operations in Iran, is relying on a variety of AI tools. And from separate reporting, we understand that means Maven Smart System. This comes out of Project Maven, an AI effort started in 2017. You have a book coming out on. I do. Yes, I do. Yeah, thanks. And that helps narrow down targets. Of course, CENTCOM is hitting, I think they've hit 5 ,000 targets in 10 days now. So an extraordinary number for the U.S. to be churning through. And at the same time, AI is helping with processes that enable fast movement.
20:23Caroline Hyde:Bloomberg's Katrina Manson with the latest reporting deep on what the Pentagon is doing with AI. Thank you very much. Now, coming up, AI startup Lagora raises$550 million, boosting its valuation to$5.55 billion. We speak with the CEO, Max Unistrand, next. This is Bloomberg Tech.
20:49Ed Ludlow:nagora an ai platform built for lawyers has just raised a massive 550 million dollars in a series defunding round pushing its valuation to an excess of five and a half billion joining us now to talk about the raise the company's growth and the future of ai and law is the nagora ceo max unistrand max this is only a few months after you just raised your previous series i mean what are you going to be using this money for?
21:11Antonio Neri:We are investing in the United States. We landed in New York a year ago. This was the first week in 2025, New York Legal Week, when Lagora launched in the United States. Now we're open in New York. We're open in Denver, Chicago, Houston. We're investing in the product, in the infrastructure, in customer support teams to support the astronomic demand that we're seeing from the US.
21:34Ed Ludlow:And that is what the VCs are responding to here, the fact that you are signing more and more legal professionals to come and join your platform. But yesterday, we just had Harvey AI on. And word has it that they're a competitive force out there. How are you seeing your space in the world? How are you unique versus a Harvey, for example?
21:53Antonio Neri:So I think legal tech has for a long time been sort of stuck in the pre-digital era. With LLMs, we're seeing a wave of companies come and automate tasks, build new systems. And it's a It's a renaissance for the industry. So there's lots of companies growing very quickly. There's a lot of greenfield opportunity. We started in Stockholm, Sweden just three years ago. And now we've landed here. We're expanding with big law firms, with big enterprises. I think the reality is that this market has only done zero to one. Now we are on the journey of one to 10 and 10 to 100. There's so much left to build.
22:29Caroline Hyde:And that's our opportunity and our challenge. Max, what's interesting about what you just outlined? is different jurisdictions, right? You're talking about American law, Nordic law, European law. Take us inside building Lugora and the necessary data sets to be able to service the legal profession in those different markets where laws and filings are completely different. So in order to build systems and agents that perform real work,
22:59Antonio Neri:there's really two different types of data that you need to work with. As you said, it's the local jurisdictional data, the case law, the legislation, and then it's the firms and the enterprises' own data. And it's the combination of the two within a platform like Legora that becomes incredibly valuable. Because I think these systems used to kind of feel like co-pilots. You were working together with them on small tasks. But now you're actually able to offload entire end-to-end, I mean, agentic workflows, and the systems are performing end-to-end work for you. So when we started out in Stockholm, Sweden, I mean, that market is smaller than one of the big law firms here in New York.
23:35Antonio Neri:So we really practice that muscle. And now that we're here,
23:39Caroline Hyde:I'm an engineer, we really lead with a product. Max, I suffered through law school, and I'm the son of two lawyers. And I brought that up yesterday, so I'll be consistent. And I know from that context that lawyers bill by the minute, sometimes scanning barcodes for five minutes of work, 15 minutes of work. How do you charge and structure your revenues for the platform? So we charge on a seat basis today.
24:06Antonio Neri:I think that is the easiest way for some of these customers to buy. But as we move towards this world where Legore is performing more end-to-end work, I think both consumption and outcome-based pricing models will make a lot of sense for our clients and also, in turn, their clients, right? The way that law firms are charging for tasks that AI can perform together with them will have to move from a billable hour model to more of a fixed fee or outcome-based system.
24:33Ed Ludlow:Can you just set the scene here? Because you're building upon, in many ways, the innovations of Anthropic. But Anthropic is also doing its own claw plug-in for law. How does this competitive environment unfold for the future businesses you want to sign on? How do they decide between you, Anthropic, Harvey, what they already have as point solutions?
24:56Antonio Neri:Yeah. So, I mean, Legora wouldn't exist without the LLMs. We were founded in late spring of 2023 off the back of the release of GPT 3.5. That was the first time the models became good enough to build any real software. In the beginning, there were so many issues around the models. You had to reduce the hallucinations, you had to guardrail them, we had to build a lot of systems around them. Today, we are very focused on bringing the capabilities of those models into an enterprise legal setting. So when we work with a law firm like White & Case or Cleary Gottlieb, they are deploying Legora, and they're turning over billions of dollars using our system.
25:34Antonio Neri:And the interesting thing for us is every quarter, the ground shakes a little bit. The new models are capable of doing new things, which needs to be reflected in our product roadmap. We cannot plan for a year ahead because three months in six months, the capabilities might have changed.
25:53Caroline Hyde:So our product has to change. Max, we just have 20 seconds, but I think what Caroline's question is, what is your moat? Do you have a moat? I think we have a real moat, of course.
26:02Antonio Neri:I mean, the way that we're deployed within these enterprises, connected to their data, the way that we've set up the permissions, the way that we work with delivering work. For instance, Debovois just launched their client portal on Legora where they are connecting their work to their external clients.
26:17Caroline Hyde:So there's a real network effect within our product too. Max Jundstrand of Legora, thank you very much for your time here on Bloomberg Tech. Now coming up, Apple's latest product is delayed as it awaits the debut of its new AI Siri. We have more on that Bloomberg reporting and some supply chain coverage as well with what's going on with Apple. It's halftime. Don't go anywhere. We'll be right back. This is Bloomberg Tech.
26:47Caroline Hyde:Welcome back to Bloomberg Tech. Technology stocks actually in particular are now pushing higher. Having seen the Nasdaq 100 lower earlier in the session, actually that chart tells the story pretty well. But a lot of the story is still what's happening with the war in Iran, the movement in oil, general risk sentiment around geopolitics. After the bell, we get Oracle earnings. And so once again, we kind of focused on the AI story and capital expenditures. Amazon is up by almost half a percentage point. The big story of the day that we hit earlier in the program is them looking at a bond sale, US dollar denominated and euro denominated of up to$42 billion.
27:26Caroline Hyde:And we had the details in the program earlier. Oracle's treading water, of course, ahead of of its print later today. But that is the AI story once again. The credit conditions, the capital expenditures, and whether this build-out is intact, Cara.
27:39Ed Ludlow:We've got plenty more on the AI story and supply chain stories now because Apple's manufacturing pivot to India and away from China. It's picking up momentum. iPhone production in the country surged 53 % in 2025 and now accounts for roughly a quarter of all iPhones made globally. For more, Bloomberg's consumer tech and Apple managing editor Mark Gurman joins us now. And Mark, Let's start with the supply chain element of things. They've done this swiftly and effectively.
28:06Antonio Neri:Yeah, our colleagues in India are reporting that now about one in four iPhones are produced in India. This is a bit of an acceleration. About a year ago, it was one in five iPhones. And a lot of the phone production in India, that pivot happened because of tariffs about a year ago. So Apple looking for ways to produce the phones without that potential tariff hit for devices built in China and then imported into the United States. And they're going to continue doing more in India. They've got AirPod development happening there at some point, more accessory development happening there, more underlying component development happening there.
28:45Antonio Neri:So India, not only big for Apple in terms of growth in retail, but also for underlying manufacturing, not only in India, but in other parts of the world as well.
28:56Caroline Hyde:The other piece of reporting you have out this morning, Mark, is about the Apple smart home display. Now, in my house, I right now have a lot of Amazon Echo devices. And so my understanding is that the Apple smart home display is like most akin to Amazon's Echo show. what are you learning? Why delayed? What's behind it?
29:22Antonio Neri:Yeah, this device very much based on the new Siri and the new AI features Apple has been working on. Those features have yet to come to market. Those continue to be delayed. And as those features get delayed, the hardware gets delayed because, as you know, Apple's very much a hardware and software and services integrated company. it's all one kit it all comes together so if one piece is not working you can't release the entire thing it's a pretty nifty device you could walk up to it and it can know who you are and give you personalized content and that very much relies on those new siri features that the company announced a couple years ago they're now aiming to roll them out before the end of the year and so this device instead of launching this month likely to launch around september
30:03Caroline Hyde:boomers mark german and all things apple the apple summary thank you very much there's a lot more news out there, Carrie.
30:09Ed Ludlow:Now here's Ed, and it's time now for Talking Tech. And first up, BYD is exploring options to enter the world of F1 racing, according to sources, in a bid to boost the EV maker's global appeal. Now, the move would mark a rare attempt by a Chinese manufacturer to take on a sport dominated by European and US teams. Plus, China's enthusiasm for all things OpenClaw is igniting a stock rally among local tech firms moving swiftly to embrace the open source AI program. Now remember, OpenClaw is an agent that leverages LLMs, including Anthropics Clawed, to perform daily functions. And the tool has garnered a cult-like status in China.
30:44Ed Ludlow:And Polymarket is enlisting firms, including Palantir, to help police its forced contracts. This is a prediction market faces really intense scrutiny over insider trading. It's all according to the sources who say that the firms will prevent and report suspicious activity with a monitoring system that Polymarket is building out. Ed.
31:03Caroline Hyde:Okay, coming up, a three-month-old startup founded by AI pioneer Jan LeCun has raised over a billion dollars in seed funding. We'll tell you about the company called Advanced Machine Intelligence. That's next. This is Bloomberg Tech.
31:25Caroline Hyde:A startup founded by French AI pioneer Jan LeCun has raised over a billion dollars in its initial funding round. Advanced Machine Intelligence, or AMI, is focused on building world models that use visual and spatial data. Bloomberg's venture reporter, Natasha Mascarenas, broke the story and joins us now. The Internet has kind of reacted by, oh, another one? And what is it that they do? But, you know, there's a history with Jan LeCun and his work with Meta in particular. Let's start with the vision for AMI. What is it they're seeking to break through on?
31:56Ed Ludlow:Sure. I mean, Jan LeCun has been a long critic of LLMs being the best way to advance AI. So Ami is a new company that's focused on world models. The idea is that they are going to be able to integrate with enterprises like robotics companies or car manufacturers and help build AI that can operate in the real world versus being something that consumers, everyday consumers, interact with via chatbots. And so less focused on text and think more around spatial data, visual data, and trying to operate, again, in real world and real industries. And maybe even the future of defense. There are so many interesting parts to this story, Natasha, that I want to dig in on.
32:39Ed Ludlow:But what caught my eye is someone who sat in New York. They're not going to be in Silicon Valley. This is because they really feel that there's, what did he call it, that they've been LLM-pilled there. This is a European story at its heart, but it's also a non-Silicon Valley one. You're exactly right. I mean, this is one of the largest venture rounds raised ever in Europe. And it is actively one that has not included a lot of the traditional Silicon Valley investors. When I asked Jan about that decision, he said that Silicon Valley investors were looking for really high ownership in the business.
33:13Ed Ludlow:And he believed that it was important to try and attract talent that wasn't just focused on building within the large language models, which means not going to where people are working for Anthropic, OpenAI, even his former employer, Meta, and trying to go to different geographies. Now, I did ask if he will have to raise from Silicon Valley eventually, and he said he's definitely open to that for his next round.
33:37Caroline Hyde:Lacoon was at Meta for almost 15 years, well, more than 10 years at least. Is there any evidence or reporting that that's the way they go, some kind of relationship with Meta, some collaborative work, something like that?
33:52Ed Ludlow:Yeah. So at this point, Meta was not listed as an investor in the new business, but we did ask him about possible partnerships, which he did confirm. So while the average consumer may not interact with his new company through a chatbot, there's not too far of a world where we could see it showing up in the Meta Ray-Bans or other AI wearables that Meta is working on. So we're definitely tracking the possible partnership. and he confirmed that there are ongoing discussions there. Natasha Mascarenas, just scoop after scoop. We so appreciate you coming on with that reporting. Let's now talk about another funding or indeed relationship.
34:28Ed Ludlow:NVIDIA is investing in Thinking Machines Lab. It's an AI startup founded by OpenAI executive Mira Mirati. Now, NVIDIA is set to provide its Viral Rubin systems to power Thinking Machines' AI models as part of a multi-year agreement. Bloomberg AI reporter Rachel Metz joins us some more. So what is Thinking Machines Lab doing? Yeah, so this company, they are building their own AI models and they have a deal that they just announced with NVIDIA. They're getting investment from NVIDIA and they are also going to be using quite a lot of NVIDIA's chip power to train and run their AI models.
35:07Caroline Hyde:I posted your story on X and, you know, noting that up to a gigawatt of Verirubin or a minimum of a gigawatt, sorry, Verirubin systems, like that's a lot of compute. But the unknowns are, is NVIDIA making this investment in cash or chips in lieu of cash? We just don't know. And the response that everyone gets back is, so what does Thinking Machines do? What is Thinking Machines other than AI?
35:30Ed Ludlow:Okay. So, so far, Thinking Machines has released one product and it is called Tinker. and it came out last year. And that is a software that companies can use to fine-tune AI models. What they're working on as well is some AI models. It's not quite known yet what the details of those are. It sounds like they will be things that will be useful to a range of enterprises, but it's not entirely clear yet if they're going to be focused on specific uses or if it's going to be a more general kind of thing like the models that underpin, say, ChatGPT or Claude. To have just issued or developed a model called Tinker and already be talked of as in the realm of a$50 billion market capitalization, it's on us to remind ourselves why Mira Morati is taken so seriously by this market.
36:21Ed Ludlow:For a hot second, she led OpenAI, but really she was the CTO, right? Yes, she was the CTO of OpenAI. She's worked at a number of tech companies over the years. So she's been in the industry for quite a long time. I think the challenge that she's facing here with this company is, can she build large language models? Not just can she build them. A handful of companies can build them. They require, obviously, a lot of money, a lot of expertise, and a lot of data. But also, can she then convince companies or some other form of customer to pay for them? Tinker is an effort to help people fine-tune models.
37:03Ed Ludlow:So it's not quite up to having, it's not the same as having a model and then having people use it. But that was sort of their first step into business and they do have customers for that. So it'll be interesting to see over the next year or so what happens with their business.
37:19Caroline Hyde:We'd reported at the end of last year that Thinking Machines was going out doing an early round at like a$50 billion valuation when it was basically a handful of people. And then what followed was all kinds of media reports about internally things not being well, right? People leaving. We never really got to the bottom of it. I mean, this is a big piece of news for them, but do we have a sense of how it's going otherwise beyond getting the backing of NVIDIA?
37:47Ed Ludlow:Yeah, that is a bit of a question mark. We know that the company has about 100 employees. And it has, as you mentioned, it recently lost some employees who went back to OpenAI. Initially, when Mira Moradi started this company, she started it with a quite a number of people that came from OpenAI. So that was certainly a signal that people were going back to that company that they had come from. But I mean, I think this is still a very new company. And sometimes these things take time to get going, get off the ground. And we'll see what happens throughout the rest of this year.
38:23Caroline Hyde:Bloomberg's Rectal Metz, top reporting. Thank you very much. Now, coming up on the show, HPE exceeds expectations on its forecast for the current quarter. It's all about AI demand and all about AI hardware demand. We're going to discuss what's driving that outlet next with HPE's CEO, Antonio Neri. This is Bloomberg Tech.
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40:01Antonio Neri:That's public.com slash market.
40:15Antonio Neri:See complete disclosures at public.com slash disclosures. So there's a lot of noise about AI, but time's too tight for more promises.
40:22Caroline Hyde:So let's talk about results. At IBM, we work with our employees to integrate technology right into the systems they need. Now, a global workforce of 300 ,000 can use AI to fill their HR questions, resolving 94 % of common questions. Not noise. Proof of how we can help companies get smarter by putting AI where it actually pays off.
40:43Antonio Neri:deep in the work that moves the business. Let's create smarter business, IBM.
40:55Caroline Hyde:Shares of HPE modestly higher up, about six-tenths of 1%. Been chopping around in the session, but the company gave a strong sales and revenue projection for the current quarter. What's driving it? Demand. Demand for AI hardware in particular. Let's discuss with HPE CEO Antonio Neri. And let's start with that. You know, clearly there is some staying power in that demand at RAC scale. You know, crystallize it for us. What are you seeing in real time?
41:23Antonio Neri:Yeah, good morning, Ed, and thanks for having me. We saw tremendous demand throughout the quarter. I think the momentum in AI continues in the build out of the data center. But what I'm really pleased is the momentum we see in enterprise. In fact, most of our revenue in AI that we recognize in Q1 came from the enterprise segment, which shows you two key elements. One is the adoption of agentic AI into the company's workflow, and second is the growing of inferencing. A lot of focus is always around the training and training these new models, but for us, our focus being both the sovereign space and the inferencing and the enterprise space.
42:04Antonio Neri:But in our portfolio, we saw tremendous momentum in networking. Our strategy with Juniors has paid off. And that's why we see double digits year over year growth in the order intake.
42:16Caroline Hyde:You know, post Juniper networking is upside for you, right? I think you have a lot of confidence that growth will come in networking. For the audience that doesn't understand what it is you do in that space, Why is networking on the rise in parallel with just kind of the broader AI hardware demand that you're seeing?
42:36Antonio Neri:Well, I do believe, Ed, and this was the core thesis of the Juniper acquisition, that the next inflection point in terms of disruption will come from the networking connectivity layer. Think about when you build a data center, you have to connect this data center to other data centers through the Internet. And that's what we call data center interconnect. Juniper has one of the most innovative products in the routing space. By the way, this past quarter we grew mid 20 % in order intake. And then once you are inside the data center, you need to be able to connect large amounts of GPUs and CPUs together.
43:14Antonio Neri:And that's why you need the data center switching portfolio in addition to some of the other core tenants of the technology. And there, you know, the Juniper portfolio grew mid 40 % in the order intake. So I will say for us, that has been a core tenant. That's why, you know, now they represent almost 30 % of the company revenues, but more than half of the profit. And for us, that's also an ability to raise the outlook for the remainder of the year and also the outlook in free cash flow because the structural margins of that business and the working capital efficiency are very, very different than the rest of the portfolio.
43:53Ed Ludlow:I mean, you actually said that you're not done raising prices. You talk about discipline in what is a very dynamic environment, Antonio. Talk to us about how you're weathering the supply chain issue, in particular, the cost, the memory costs at the moment. How do you navigate that?
44:09Antonio Neri:Yeah, I mean, obviously, the demand in supply has a huge mismatch. And you actually need to go back all the 22, 23 timeframe to understand how we got here, accelerated by the hypercycle we see in the AI space. But fundamentally, in our guidance, the new guidance, the new outlook that we raised for 2026, we included our ability to see the supply that we need to convert that into revenue and profit. But the reality is that we do not have enough supply against the order intake and the backlog because otherwise we'll have even a higher outlook. So what we're doing, we have taken three very unique steps.
44:52Antonio Neri:Number one is securing as much supply as we can. But again, we don't have all the supply that we would like to have. Number two is taking a very agile posture when it comes down to pricing. And as I said yesterday, we are not done raising pricing. I think that that cycle will continue well into 2027, although we will hope that we will reach some sort of elevated pricing stability in 2026. And number three, you know, my experience has taught me that ultimately you need to have direct, transparent conversation both with customers and our partners. Last week I was in Europe. I met more than 20 customers at the Mobile Congress in London.
45:34Antonio Neri:And they appreciate that level of transparency, understanding the environment we're in.
45:38Ed Ludlow:I mean, you're actually foregoing supplying some equipment to mobile service providers. So you're being choosy with who you work with. At this time of geopolitical angst, and when we question how much the Middle East is going to be able to build out the data center capacity as we'd once thought, has the Iran conflict impacted your view on the world or indeed the supply of the world and chips?
46:00Antonio Neri:Not on the supply side, Carol, and obviously our first priority, because we have businesses in that region, whether it's EUE, Qatar, Bahrain, South Arabia, Israel, right, is the well-being, the safety of our employees. We have approximately 1 ,000 employees in that region, and the good revenues all are doing well at this point in time. But from a supply perspective, no. But obviously as the conflict may get elongated, it may have other implications, particularly on the logistics side of the equation. You know, look, air freight routes are a little bit more complicated. We don't use boats or ships for transporting our equipments.
46:42Antonio Neri:But over time, we have to assess if there is a revenue impact. What I can tell you right now, there is even more demand than we saw, particularly three, four months ago. So we have to navigate that together and we have to be smart about it.
46:56Caroline Hyde:Antonio, you have never let me tear apart an HPE server and that's okay. But if I got my hands in the compute tray, you'd have the high bandwidth memory around the GPU, wherever it comes from. You'd have the DDRs around the CPU and somewhere you'd have the SSDs, NAND, flash memory. Be very, very specific. Of those three, what's the biggest impact to you right now in constraining your sales and your outlook?
47:22Antonio Neri:Very simply, it's DDR and NAND, or the SSDs. HBMs, less constrained, but obviously a lot of the allocation on the capacity has moved there. And as you know, there is also transition from the prior generation of HBMs to the new generation of HBMs, because you need more memory channels. But it's really the DDR4, which now nobody almost uses, but DDR5 and the NAND part, which is SSDs.
47:52Ed Ludlow:You said just earlier, look, one of the three key steps you took was to get as much supply as you could and to ensure that that was locked in. You wish you could have more. Who is it that you need to push more? Who is it that you need to have more security for? How can you perhaps get hands-on further supply going forward?
48:09Antonio Neri:Look, we have a long-standing relationship with the three core suppliers that provide DDR memory and HBMs. And there is a little bit larger ecosystem for the NAND space. But we're having weekly engagements with them. We are looking to swap components, driving different configurations. But the reality, all of them are significantly constrained, Caroline.
48:36Caroline Hyde:Antonio, just 20 seconds. What's the dollar figure, dollar terms of what was left on the table? How much better the outlook could have been?
48:45Antonio Neri:Yeah, it's pretty sizable, I will say. We guided five pennies on the midpoint of the range. And then we raised our outlook for free cash flow by almost 200 million at the midpoint. But the backlog is very, very large at this point in time. If you think about the AI system backlog, it's over 5 billion. we raise again the networking for networks for AI goal for the end of the year so it's a very sizable backlog so we hope we make progress as we go along but we categorize, we level this as a prudent guidance at this point in time
49:23Ed Ludlow:Antonio Neri, CEO of HPE thanks for the candid conversation, we appreciate it now that does it for this edition of Bloomberg Tech Ed
49:30Caroline Hyde:great interviews, great Bloomberg reporting, recap it on the podcast you're aware to find it on the terminal and online on Apple, Spotify, and iHeart. This is Bloomberg Tech.
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50:41Antonio Neri:Friends Like These, The Murder of Skylar Nees is now streaming on Hulu and Hulu on Disney+.
50:46Caroline Hyde:911, do you have an emergency? I have a 16-year-old daughter.
50:49Antonio Neri:Can't get a hold of her. I am scared to death.
50:51Caroline Hyde:We wanted to talk to Skylar's friends.
50:54Antonio Neri:They're not telling the full story. The truth is gruesomely horrific.
50:57Ed Ludlow:How could you do this to your best friend?
51:00Antonio Neri:There's a darker secret that's not been said. Watch the new Hulu original series, Friends Like These, The Murder of Skylar Nees, on Hulu and Hulu on Disney+. For bundle subscribers, terms apply.
From the publisher
Bloomberg’s Caroline Hyde and Ed Ludlow discuss Amazon’s bond sale that is set to be one of the biggest corporate debt offerings ever, as it looks to fund the AI boom. Plus, Google introduces AI agents across the Pentagon's workforce to automate unclassified tasks. And, Hewlett Packard Enterprise CEO Antonio Neri discusses the company’s sales forecast that topped estimates on AI hardware demand.
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