Micron Warns of Heavy Spending Amid Memory Crunch

19 Mar 2026 · 37 min · 21 chapters

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In short

Podcast Summary: Bloomberg Tech - Micron Warns of Heavy Spending Amid Memory Crunch

Hosts

  • Caroline Hyde
  • Ed Ludlow

Episode Overview In this episode, Caroline Hyde discusses significant developments in the technology sector, focusing on:

  • Micron's heavy spending plans amid a memory chip demand surge.
  • Alibaba's ambitious goal to generate $100 billion in cloud and AI revenue over the next five years.
  • Uber's upcoming investment of up to $1.25 billion in Rivian's robotaxi fleet.

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Key Topics Discussed

  1. Micron's Financials and Industry Outlook
  2. Earnings Report: Micron reported a quadrupling of revenue and a 600% increase in earnings per share but saw its stock drop by 2.6%.
  3. Heavy Spending: Micron plans significant capital expenditures to expand production capabilities, particularly for high bandwidth memory (HBM) essential for AI applications.
  4. Supply Chain Concerns: Investors are wary about Micron's reliance on NVIDIA for HBM, given competition from Samsung and SK Hynix.
  5. Inflationary Pressures: Fed Chair Jay Powell noted that increased AI investments, including data center expansions, could exacerbate inflation.
  1. Alibaba's Ambitious AI Revenue Target
  2. Financial Performance: Alibaba announced a 67% drop in quarterly earnings, raising investor concerns amid sluggish revenue growth.
  3. Future Aspirations: CEO Eddie Wu outlined a goal to generate $100 billion in revenue from cloud and AI within five years, despite current profitability pressures.
  4. Competitive Landscape: Competition with Tencent in the AI space is growing, which could pressure Alibaba's stock further.
  1. Uber's Investment in Rivian
  2. Strategic Partnership: Uber plans to invest up to $1.25 billion in Rivian's autonomous vehicle fleet, marking its 18th partnership in this area.
  3. Operational Considerations: Uber will manage aspects like charging and fleet maintenance for Rivian's robotaxis, expected to launch in 2028.
  1. Macro Economic Context
  2. Oil Prices and Market Pressure: Rising oil prices due to geopolitical tensions in the Middle East are adding inflationary pressures, affecting investor sentiment across markets.
  3. Central Bank Responses: The Federal Reserve, European Central Bank, and Bank of England are all maintaining their current interest rates while monitoring inflation concerns.
  1. Expert Insights
  2. Marta Norton from Power: Discusses the longer-term impacts of AI on inflation and investment bottlenecks.
  3. Hyukyung Lee on Alibaba: Highlights the investor sentiment regarding Alibaba's profitability amid competition.
  4. Jacob Cook, WPIC CEO: Analyzes Alibaba's strategy and competition from Tencent in the AI space.
  5. Ethan Choi from Coastal Ventures: Explores the ongoing demand for AI and its implications for venture capital funding amid geopolitical uncertainties.

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Key Takeaways

  • Micron's significant investments reflect the growing demand for memory chips, particularly in AI applications.
  • Alibaba's ambitious revenue targets highlight the competitive pressure facing major tech firms in the AI sector.
  • Uber's partnerships indicate a strategic shift towards electric and autonomous vehicles, aligning with broader industry trends.
  • Geopolitical factors, especially oil prices, remain a critical concern for investors, impacting market dynamics and inflation forecasts.

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Conclusion This episode of Bloomberg Tech provides a comprehensive look at current trends and challenges in the tech industry, focusing on significant players like Micron, Alibaba, and Uber, while also considering the broader macroeconomic context and its implications for future business strategies.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Micron's Heavy Spending Warning

1:48 to 2:09

Micron warns of heavy spending to meet memory chip demand.

“Micron warns of heavy spending on production to meet demand for its memory chips.”

Market Overview and Current Pressures

2:10 to 2:45

Explore the current market pressures affecting stocks and oil prices.

“But first we have the details on the macro picture.”

Micron's Financial Performance and Challenges

2:46 to 5:20

Detailed analysis of Micron's financial results and spending challenges.

“in its revenue, it saw 600 % increase in its earnings per share.”

Impact of AI on Inflation and Investment

5:21 to 7:18

Discussion on how AI investment is influencing inflation and market dynamics.

“We so appreciate you joining this morning.”

Geopolitical Factors Affecting Market Dynamics

7:19 to 9:14

Examination of how geopolitical tensions impact investor behavior and market stability.

“Go to the conflict with the Middle East and what that means for investor demand right now.”

Future of AI and Its Economic Implications

9:15 to 11:42

Analyzing the future trends in AI and their potential economic impact.

“So there does seem to be a shifting of how countries are interrelating to one another.”

Alibaba's Ambitious Revenue Goals

11:43 to 14:00

Alibaba aims for significant revenue growth despite current profitability pressures.

“Of course, we have to keep our options open on that front.”

Alibaba's Profitability and AI Investments

14:15 to 16:30

Discussion on Alibaba's profitability under competition and AI investment plans.

“But you're also looking much more on AI adoption as well.”

AI Adoption in China and OpenClaw's Impact

16:30 to 19:00

Exploration of AI adoption rates in China and the effects of OpenClaw.

“What's it like on the streets, the sort of fanfare, the hype around OpenClaw?”

Expanding AI Access Across Asia

19:00 to 20:00

How AI is making it easier for brands to access Asian markets and consumers.

“AI is going to make that easier and easier.”
Show all 21 chapters

Regulatory Challenges for Chinese Tech Giants

20:00 to 22:40

Discussion on the regulatory landscape for Alibaba and Tencent amidst AI growth.

“So we would expect a lot more innovation and, you know, it's going to be an exciting year.”

Social Media Regulation Trends in the U.S.

22:40 to 24:20

Overview of increasing calls for social media bans for children across the U.S.

“a podcast presented by Cigna Healthcare.”

Addiction Allegations Against Social Media Platforms

24:20 to 26:00

Latest on lawsuits accusing platforms of creating addictive technologies.

“As you say, a lot has to happen for the bans to come into force.”

Updates on Electric and Autonomous Vehicles

26:00 to 28:00

Discussion on Uber's partnership with Rivian and plans for electric vehicle fleets.

“Let's check in on markets because they're on tenterhooks, to put it mildly, as we see conflict seemingly intensify in the Middle East, particularly involving the infrastructure of energy.”

Uber and Rivian's Electric Future

28:00 to 28:55

Explore Uber's partnership with Rivian in developing electric vehicles.

“And then it's all about the infrastructure that's needed.”

ARC: Electrifying the Marine Industry

28:55 to 29:42

Learn about ARC's vision to electrify marine vehicles and the demand driving it.

“Look, we can stick with autonomous or at least electric and go from road to waters.”

Electric Powertrains for Defense

29:42 to 31:07

Discover how ARC's technology transitions from consumer to defense sectors.

“How will you use your technology that you've proved out in the consumer's realm into the world of commercial?”

Scaling Production Amid Demand

31:07 to 33:12

Understand ARC's strategies to meet increasing demand for electric boats.

“We do design the vessels around those powertrains as well, but we do that in partnership with commercial operators, with Defense Prime.”

Supply Chain Challenges in the U.S.

33:12 to 33:54

Examine how ARC maintains local supply chains amidst global disruptions.

“And I can't disclose much more about this, but we are working with a major defense prime on autonomous surface vessels.”

AI Boom and Economic Implications

36:51 to 42:00

Dive into the current AI boom and its potential impact on the economy.

“Netflix is seeking to capitalize on its most popular movie ever by planning live shows next year featuring songs from the film ahead of a planned sequel.”

Disruption in Business Models Amid SaaSpocalypse

42:00 to 43:01

Explore the transformation of business models during the SaaSpocalypse and funding challenges.

“There's a lot of business model transformation that's happening today, obviously with the SaaSpocalypse.”
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Transcript

Automatic transcript. May contain errors.

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1:23Terms and conditions apply. Bloomberg Audio Studios. Podcasts, radio, news.

1:36Bloomberg 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. Micron warns of heavy spending on production to meet demand for its memory chips. We'll break down the company's results. Plus Alibaba says it's aiming to generate$100 billion in cloud and AI revenue within the next five years. Even its earnings come under pressure. And Uber and Rivian, they team up with Uber set to invest up to$1.25 billion in Rivian's robo-taxi fleet. We have the details on the deal. But first we have the details on the macro picture. Once again, stocks are under pressure today.

2:14This is because oil pushes high. The conflict intensifying in the Middle East and energy infrastructure under fire. We're currently seeing up 3 % on Brent, but boy, had it spiraled higher earlier. Huge moves in the bond market start to dial down. We've seen 18 basis points on the two-year. Extraordinary moves in the UK on its guilts. Look, we are worried about inflationary pressure and the ability of central banks to make a move. We saw the ECB, the BOE, and of course the Fed yesterday and the Japanese overnight all keep rates on hold, but all of them eyeing whether or not policy moves will be needed in the near term.

2:44move on to individual stocks because Micron, down 2.6 % when the chip maker posted a quadrupling in its revenue, it saw 600 % increase in its earnings per share. However, it is spending big. And we want to get the details with Dina Bass because the stock has run up because of, well, the pricing pressure in memory chips in particular that aids the revenue and the profitability of Micron, but it's going to have to spend to keep up with demand.

3:18Yeah, I mean, you would think that the numbers they posted yesterday would cause the stock to go up. But as you mentioned, there's a bit of an issue here that the reason the stock is going up, as you said, is because we are seeing an almost unprecedented increase in the price of memory. What's gone on is that there's a thing called high bandwidth memory, which is really critical for all of the AI chips that NVIDIA has been talking about this week at its GTC conference. And, you know, while that demand has accelerated, the three makers of that memory, that's Micron, Samsung, and SK Hynix, have been focusing on that product, which is in, you know, short supply.

3:58And they have focused less on other memory products, things like DRAM. So the people that use DRAM, we're talking about PC makers, phone makers, car makers, are paying dramatically higher prices for that. That's good for Micron, and you saw that in those numbers. but Micron and Samsung has also announced extra spending. So they're trying to expand their capital expenditures, build more facilities, make more of this memory, both kinds. And so you're seeing a forecast for higher CapEx this year for a continued increase in CapEx next year. And so investors are trying to wrangle with what all of that means.

4:36Was there a risk when we go to HBM4 in particular and just the desire for more these high bandwidth memory chips in AI accelerators. Is there any risk that NVIDIA uses SK Hynix or Samsung more than Micron? So there have been some reports, you know, the semi-analysis had something out a couple of weeks ago, raising concerns about whether Micron will be, you know, as important to NVIDIA's next Veriruban chips as some of its competitors. in uh micron has said this week that they are now um shipping that hbm4 in volume and they have said that it is designed for verorubin i think we are you know we're waiting to see what that means what exactly nvidia is going to use who and how much but that has been a concern and that has been weighing on the stock at various points even though the stock has been over overall has been up yeah i mean maybe just a bit of profit taking on the day dina bass who has been incredibly busy this week at GTC and now on Micron.

5:37We so appreciate you joining this morning. Let's turn our attention to the Fed chair, Jay Powell, who says that, look, while AI holds long-term promise, its near-term impact may actually be adding to inflation, such as with these chips, as companies ramp up investment. Just take a listen. In the short term, what's happening is we're building data centers everywhere. And that's actually putting pressure on all kinds of goods and services that go into building these things. So that's actually probably pushing inflation up at the margin. That perspective comes as investors continue to pass the real world payoff or not from AI.

6:13For more, Marta Norton in Power, Chief Investment Strategist, joins us. Look, Micron speaks to this inflationary pressure that we see coming from AI, Marta. Just dig in there as to what Fed Chair Powell was saying. How much are we likely to see just bottlenecks being the issue? Well, it is the question or one of the questions of the hour when we think about AI in 2026 and 2027. We know the timeline for the AI build is quite long. We know it's quite expensive and we know that it is creating bottlenecks, not just for memory chips, but also for energy. So there's all these kind of hot pockets that are related to the build.

6:52I don't know if we're looking at a Fed chair or a committee that's saying that this is going to excessively move core inflation. But I think it's coming at an inopportune time when, of course, we also have an oil shock and we have an inflation picture that continues to linger. So I think it's more the sum total of all the different questions from AI, from energy, from lingering inflation that puts us in the position we're in today. Go to the oil shock, Marta. Go to the conflict with the Middle East and what that means for investor demand right now. Well, it's so interesting right now because Powell couched his comments yesterday around inflation uncertainty by also noting that typically wisdom would suggest that you look through an oil price shock because it's not a permanent change in inflation.

7:41And in fact, when you look at the summary of economic projections yesterday, yes, the committee moved inflation expectations higher for this year. But then the expectation, and of course, these have a wide range of outcomes around them, but the expectations for next year weren't really that much higher than they already were. And so that would reflect this idea that we're looking at a near-term disruption, but not necessarily longer term. But of course, the jury's out. We're seeing destruction of energy infrastructure in real time. And that's one of those tipping variables that could put us in a much more difficult position from an energy and oil price shock perspective.

8:20I mean, boy, does it put a difficult position on Asia and Europe, far more so than the U.S. in particular. It's interesting that we have a meeting between the Japanese leader and the United States today. And we are expecting actually nuclear deals to be announced from that. But how are you seeing, in particular, a long-term change in geopolitics and what that means more ultimately for investor risk-on attitude? Well, I mean, the observation that this is a very different scenario for the U.S. versus the rest of the world is spot on because, of course, the U.S. is the world's largest producer of natural gas and of oil.

8:57That doesn't necessarily shelter it from all shocks on the oil front. It certainly provides protection on the natural gas front. And Asia and Europe are in very different positions. And we're seeing them kind of thread the needle on the geopolitics front. They're not necessarily putting pressure on the U.S. to stop its attacks, but they're certainly not joining in it. And of course, we also have all the new dynamics that were released last year around tariffs. So there does seem to be a shifting of how countries are interrelating to one another. I think one of the things we'll want to watch longer term is what kind of regionalization does this create from how economies operate versus how they've been operating on a much more global scale.

9:36But I don't think we want to jump to conclusions there. There's still a lot to understand about how things are unfolding. Look, I'm going to thread a difficult needle here of how it impacts technology. because there have been stark warnings that if infrastructure is decimated in the Middle East, those pools of capital that have been very important to some of the big foundational modules here in the United States, the AI growth story, has been dependent on Middle Eastern money and that might be diverted to far more immediate concerns, Marta. Is that something you're hearing about? That's a great observation.

10:07It isn't something that I've heard about, but I think it's a very astute topic to raise. I've also heard folks talk a little bit more about the supply chain disruption that could come from AI. If we're looking at places like Taiwan and we're looking at manufacturing capabilities and there's an energy import element there, what can we expect in terms of what that disruption looks like and how does that ultimately play through to AI cost? Again, a lot of the jury is still out, so I don't want to assume too much. But right now we're seeing tech, MAG7, software. We're seeing strength in a lot of those areas.

10:42at least relative to the sell-offs that we're seeing elsewhere. But should we start to see some disruption, both from a funding perspective and from the perspective of the AI supply chain, I think that's something that could at least be a headwind for some of those areas that have been holding up well. Does it, and it might not be your area of expertise, but does it mean anything for the IPO pipeline and the idea that we were set to be having some of the biggest companies, private companies, coming to the market? Well, IPO and M &A, those were areas that people were looking at as being a real source of excitement for 2026 with a lot of momentum building.

11:18Again, I don't want to assume too much on what this geopolitical event means for the broad economy and whether it unhinges it altogether. My base case at the moment, even though we're seeing energy infrastructure getting destroyed in real time, is that this does have a near term end point. We're not necessarily looking at the most severe scenario. So a lot of the trends that were in play, my estimation is that they remain in play, but we're on a pause for the moment. Of course, we have to keep our options open on that front. We do. Martin Norton, a time of uncertainty, and we so appreciate you joining us on it from Empower.

11:52Coming up, Alibaba sets an ambitious$100 billion target for cloud and AI revenue, even as earnings come under pressure. That's next. This is Bloomberg Tech.

12:10Alibaba says it's aiming to generate$100 billion in cloud and AI revenue within the next five years. This is CEO Eddie Wu, really laid out the ambitious target after the company reported a 67 % drop in quarterly earnings alongside some pretty sluggish revenue growth. For more, Bloomberg's Asia Stocks reporter, who's here in New York for us, Hyukyung Lee. Hyukyung, why the pressure on the profitability in particular? Yeah, I think that's a really good question that all the investors are asking. And I think the 67 % drop in net income pretty much shows how much investment in the quick commerce or the AI are eating into the profitability of the company.

12:47I mean, the 68 % drop, it was a huge miss. And it was the smallest net income since early 2024. So it was a big disappointment to investors. That being a big disappointment, even with these big, bold ambitions to drive up the revenue side, the profitability side by charging more for cloud, charging more for what is their AI agentic offering. How are we seeing sort of investors pay attention to this in the stock? Because at the moment, it's having its worst day since October of last year, at one point of April of last year. Yeah, the stock was down almost like 10 percent earlier this morning and investors are apparently very unhappy.

13:22And I think especially under this macro environment, investors tend to punish these statements unless they're accompanied by some clear profitability path or the monetization plan. And especially the competition, the AI is getting heated in China. Alibaba is facing steeper competition from Tencent. And if you look at the share price in March, Tencent has been performing a lot better than Alibaba in the month of March. So you can see there how investors are more hopeful and more optimistic about one company's AI plan than the other. So how it's going to profit rather than how much revenue it's going to be making in the coming years might be the bigger focus for investors going forward if you want to guess about its future share price.

14:04Yookung Lee, I'm very pleased to say with us when it matters on All Things Asia, thank you very much indeed. Look, let's stick with the Alibaba story. And Jacob Cook is with us, WPIC CEO joining us. And your expertise really has been in e-commerce and marketing areas within Asian businesses and companies looking to penetrate Asia. But you're also looking much more on AI adoption as well. First, with Alibaba's just general numbers, how worrying is it that their profitability is being so hit by competition? It's not that worrying. I think this was very well announced. They were telling us about the investments in 2025 that were going into AI.

14:37And they've also announced that that's going to double in 2026. So that probably holds in terms of pressure on income. Some of the numbers were pretty optimistic, and certainly in terms of the AI announcements and what they're doing with their token hub, we see pretty good potential. And again, I think this has been part of a well-announced plan that's in a couple of years of execution right now and seems to be relatively on schedule. OK, let's talk about what's on schedule when it comes to AI adoption and competing against, say, like a Tencent. We were just hearing from Yuckelung about why Tencent's higher.

15:08are many people feeling that the WeChat optionality that it gives you, particularly with OpenClaw and agentic AI penetration, is just far clearer. How is Alibaba going to make sure that its AI tech stack works? Well, I think there's two things. One, Quentin's open source model is incredible. I've got it running on my new M5 laptop right now, and it actually is one of the best models that you can get running locally. So they've got incredible adoption there. And you talk about OpenClaw. And then again, what are these agents and the agentic AI going to be doing? They're going to be buying tokens.

15:40So opening up that token hub is great. And let's not forget, I mean, this was their 10th quarter of triple digit AI revenue. So when they're talking about these massive ambitious goals of$100 billion in revenue, you know, I think there's a real clear path for them to get there. And, you know, another thing that we notice in China as well is, you know, they may not be dealing with the top models or winning the contest there, but the adoption rates among users, even OpenClaw, you know, a little later adoption there, but now is having more uses installations inside China than the U.S. So I think all of those adoption rates in China in general with the way the AI market looks like and the willingness of employers now to spend on tokens to enhance the productivity of their offices, I think, is very positive and should lend to more triple digit growth throughout 2026.

16:27I mean, Jacob, you've always been this great read on the consumer over in Asia and China in particular. What's it like on the streets, the sort of fanfare, the hype around OpenClaw? it's not just on the streets it's all over social media it's pretty amazing and the levels of innovation that are coming out you know they're using different models it's running so much more locally than the installations did but it's basically allowed on premise to come back to being an option they don't need to uh you know have a very uh tech background to open up you know aws or allian equivalents they can actually just go buy older mac hardware that's readily available on the market and get some of these systems running up in their apartments or houses or offices.

17:09So that's really allowed it to go from being a maybe having a very technical background to, you know, general acceptance among the masses. Why Mac minis are flying off the shelves, why Raspberry Pi in the UK share prices spiraled higher. Jacob, what though of the pushback from a regulatory perspective? If you own Alibaba, if you own Tencent or any of the Chinese giants, you know about regulatory risk. Well, we're starting to see regulators and state governments slightly push back against Open Claw just running rife in state-backed businesses? Well, I would say that that would be the case. But the government, in terms of where we operate in, you know, Jiangsu and Zhejiang, just outside of Shanghai, there's been very supportive.

17:47There's even been local government classes, you know, for getting people to set these up. So we've never seen adoption from the governments like that. So I don't think that there's – there might be some security with Open Claw, but let's not also forget Moonshot launched Kimmy Claw too. So there's going to be alternatives that do roughly the same thing that might be just a little bit more suited to the Chinese market, too, as well. A little bit more firewall compatible as well. Let's just, therefore, put this all in context, Jacob. As the brands that you work with are looking to access an Asian buyer, as people are looking to take on the various ways of getting to consumers via chatbots, how does that landscape look for you right now?

18:28yeah well i think in terms of ai in general it's made accessing asia way more easy the chatbots are probably not the best way to interact with your customers at that point but being able to use you know generative so you know you're maybe taking model shots for china and being able to adjust them for japan and korea not having to do three shoots for example being able to change your languages being able to interact with your customers in multiple languages throughout asia has really kind of laid economies of scale to being able to get access to the entire region and not looking at this like, you know, maybe 12 different markets and more looking at it like just a couple.

19:01AI is going to make that easier and easier. And inventory projections, you know, we're looking at social media now to see, you know, what, you know, might be selling really well in the summer. All these things are really helping, you know, brands get access to the market at cheaper, you know, or a less barrier, a smaller barrier to entry than they were doing pre-AI. Who else should a potential marketeer be wanting to access Asia, be looking at? Look, we talked Alibaba, Tencent, but there are plenty of other options. Well, Kimi K is one of the best on-premise models that exists out there, too, and that's by Moonshot.

19:37So there's just a ton. I mean, we have an office in Hangzhou, too, and there's just AI companies all around us. I mean, DeepSeek's not too far from Alibaba. Douyin's sandwiched in between them. RedNote's in that neighborhood. So there's just a whole environment of innovation, very similar to what's been going on in Silicon Valley. So, you know, we don't know all of the total winners, but the barrier to entry, again, with AI, it's smaller and smaller. DeepSeek was launching their models with only 125 people. So we would expect a lot more innovation and, you know, it's going to be an exciting year.

20:08That's for sure. Jacob Cook, WPIC CEO. It's always great to catch up with you. Thank you. Thank you. Now coming up, the pressure on social media ramps up here in the U.S. California joining the chorus of localities calling for bans. More on that next. This is Bloomberg Tech.

20:43The brands winning in the AI era aren't the ones chasing every trend. They're the ones with the right systems and strategy. It's time to lead with insight, agility, and innovation. It starts with Adobe. Hello, hello. I'm Malcolm Gladwell, host of the podcast Smart Talks with IBM. I recently sat down with IBM's chairman and CEO, Arvind Krishna, and I asked him, how can companies use AI to its fullest potential to create smarter business? My one advice to them, pick areas you can scale. Don't pick the shiny little toys on the side. For example? If anybody has more than 10 % of what they had for customer service 10 years ago, they're already five years behind it.

21:34if anybody is not using AI to make their developers who write software 30 % more productive today with the goal of being 70 % more productive. Yeah, wow. So we are not asking our clients to be the first experiment on it. We say, you can leverage what we did. We are happy to bring out all our learnings, including what needs to change in the process, because the biggest change is not technology. It's getting people to accept that there's a different way to do things. To listen to the full conversation, visit ibm.com slash smarttalks.

22:33how these pressures show up, how to spot them earlier, and how men can access meaningful support. Listen to the new season of The Visibility Gap, a podcast presented by Cigna Healthcare.

22:51Open AI, when it's expanding its push into coding, with plans to acquire Astral. Now that's a startup that makes Python tools for developers. The deal hasn't yet closed, but the companies say that it will bring Astral's team into OpenAI's codex effort and broaden its suite of developer services. OpenAI, of course, has been racing with competitors like Anthropic, Microsoft, and startups like Cursor to appeal to corporate customers using AI as coding assistants. Meanwhile, social media companies, well, they're facing increasing pressure from mounting lawsuits and laws dictating age limits on their platforms.

23:22In a particular blow to the industry, California, home to Meta. Of course, TikTok operates there too, but it's home to Google, Snap. app. It's joined the list of U.S. states and countries globally proposing a ban on social media for children. Let's get the latest from Lumos, Kurt Wagner, who's covering the industry, who's put out a tech in depth about this all today. And really, home turf, could this be a reality? I think it could be a reality. We're definitely seeing a snowball effect here. And Caroline, to the point you just made, the fact that California is getting in on the mix here, I think is pretty significant.

23:56It's certainly symbolic of how big this issue has become and how strong this conversation has happened. Now, I want to be clear, a lot still has to happen for these sort of proposals, these bills to become laws. But we are talking about a thing that has really been a little bit on the periphery for the last several years. And now we're seeing California, several countries in Europe, of course, Australia, start to float and push for these social media bans. So I think that's pretty significant. As you say, a lot has to happen for the bans to come into force. And look, we've been waiting decades for any sort of talk to become a walk in terms of law on social media.

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24:34And it hasn't occurred in the United States. But what's interesting is we are seeing more courts ruling or potentially about to rule on the addiction of these sorts of offerings as well. Can you bring us the latest on what's happening in LA and New Mexico? Yeah. So for the last several weeks in Los Angeles, Meta and YouTube, so Instagram and YouTube have been facing these allegations that they are intentionally creating their products to be addictive. And right now the jury is deliberating whether that is in fact the case. The jury has been deliberating for three and a half days at this point.

25:09So we're sort of on pins and needles waiting for an answer. But this is really the first in thousands of similar cases accusing these platforms of creating addictive technology. And so it's meaningful in that it's going to sort of set the narrative around the rest of these cases that are coming later this year. And as you can imagine, Caroline, if these companies are deemed to be, you know, intentionally making their products addictive, that only adds more fuel to this fire for lawmakers who are already trying to rein them in. And, of course, companies such as Meta would dispute that sort of typecasting and in many ways have put in place a lot of new safety tools for parents and children to use, but one to keep a track of.

25:48Bloomberg's Kurt Wagner, we so appreciate you joining us. Now coming up, electric boatmaker ARK looks to expand beyond the consumer market into work and actually defense vessels too. We'll talk to the CEO about its latest fundraise to do just that. This is Bloomberg Tech.

26:12Welcome back to Bloomberg Tech. Let's check in on markets because they're on tenterhooks, to put it mildly, as we see conflict seemingly intensify in the Middle East, particularly involving the infrastructure of energy. That's why Brent crude is up 4.4 percent. We've seen it spiral ever higher. NASDAQ and stock markets, risk assets more generally, have been on the downside. Particularly keep an eye on the bond markets. We see yields have spiked on the two-year here in the U.S., significantly in the U.K. In Europe, there is a concern about inflationary pressure. Certainly, that's a lot of the questioning.

26:40for all of the central bankers that we heard from overnight and into today. That's Japan, Europe, UK and the United States, of course, what happened yesterday. Let's move into what's happening in terms of individual stocks. Look, there is AI news, as always, and we're up by 2.8 % in Xiaomi. This is as the company announces an update to its SU7 electric vehicle, but also released its latest artificial intelligence models. Really, this refresh seems to be buoying investor sentiment when the rest of the market had been down over there, so it was a key outperformer. Let's talk elsewhere in the EV space, though, because another big development happening closer to home.

27:13Uber, Rivian teaming up, with Uber set to invest up to$1.25 billion in Rivian's robo-taxi fleet. For more, Bloomberg's consumer apps and gig economy reporter Natalie Leung joins us now. And, wow, Uber's been busy. This is its octeenth partnership that it's been announcing? Yes, there's been more than 20 partnerships, and most of them struck in the past year. And today it's about Rivian. They already committed$300 million of that investment, and they're going to buy 10 ,000 robotaxis to launch in San Francisco and Miami starting in 2028. So it will take some time to ramp up, but they're starting to put together these arrangements to piece together this narrative that they can be a commercialization partner for these developers.

27:56They're the platform. They're not under competitive threat from these robotaxi makers. They can just harness them. And then it's all about the infrastructure that's needed. When we look at perhaps what Rivian needs to get these on the road, it's going to be what? Charging facilities and cleaning? What happens? Yeah, so there's a lot of sort of the unglamorous work that goes behind running fleets. The charging, the daily cleaning, what if people lost an item, they have to retrieve it, someone has to pick it up. And so Uber wants to be that sort of partner for these developers. And what do we know about Rivian and the R2 robotaxis?

28:28So they're trying to add a new in-house autonomy chip and a new LiDAR sensor into this new R2 vehicle starting in 2027. So that's when you see production happening and that's when Uber will probably make the purchases and ramp it up. And this is really part of their broader ambitions to want to produce these consumer vehicles for individuals. Nahli Lang, it's great to have you. Thank you very much indeed on all things Uber and Rivian. Look, we can stick with autonomous or at least electric and go from road to waters. Electric boatmaker ARC has raised$50 million that it aims to expand beyond leisure vehicles with tugboats, ferries, defense vehicles.

29:10Let's discuss this all with ARC's CEO, Mitch Lee. Mitch, for the cynics among us, maybe someone would say, of course, they become a defense company. How much was this a pull in terms of demand, not a push from your VCs? It was very much a pull for us. from day one of the company, we've always had the vision that we wanted to go electrify and power everything on the water. And we are just doing that even faster than we expected because of the incredible demand we've seen across both the commercial and the defense sectors. How will you use your technology that you've proved out in the consumer's realm into the world of commercial?

29:50I mean, already you've been developing a tugboat. How does that look like some sort of, well, case study that you bring into the defense realm? Yeah, I'll start with electric propulsion is just a fundamentally better technology for the water than combustion. This is very similar to the transition that rail went through many decades ago. And now the marine industry is transitioning over to better technology. We've developed that technology. We've hardened it in the consumer space with our consumer boats. We've scaled up production of that. We've built a team around that and the credibility that we know what we're doing.

30:25And now we're taking that same technology and deploying it into the commercial and defense sectors to electrify those fleets and make them more reliable, give them greater uptime, better performance, and better operating costs. When we think about how much you will be making, I mean, we see the boat, the consumer-focused one, you're building that. How much are you having to work in partnership with the key primes, will you be building out an entire fleet for them, or is it more about just the propulsion and the engines? What we specialize in is in that electric powertrain and basically the technology platform powering these vessels.

31:04So the motors and the battery packs, the wiring, the thermal controls, the firmware, software, telemetry, all of those systems. We do design the vessels around those powertrains as well, but we do that in partnership with commercial operators, with Defense Prime. So we are approaching this through the lens of partnerships where we bring what we do best, which is that electric powertrain, and partner with vessel manufacturers or shipyards, boatyards. We've just seen the VCs that are backing you on this latest round,$50 million Series C. A lot of them very focused on defense tech, very focused on American dynamism, to use a phrase.

31:46Has that been helpful in terms of the partnerships? Absolutely. These are a fantastic group of investors. We are thrilled to have their support behind us as we continue to scale as a company. I mean, Eclipse and Menlo, Lower Carbon, Necessary, Interest and Horowitz. These are amazing investors and we're lucky to have their support and their enthusiasm for what it is that we're doing. What is it that you now need? The 50 million? Is it about going to market? Is it about sales? Is it about still getting the technologists in-house? There's so much demand for the technology that we're bringing to market.

32:23This is very much a supply-side problem for us. We need to ramp up our supply of the technology that we're building. That's increasing production of the consumer boats we're making. It's increasing production and the speed at which we're bringing the powertrains to the commercial and defense markets as well. So this is really an accelerant on our ability to supply these sectors with this electric technology. I mean, they look really cool. And our team has been on them before. How many have you made in the consumer realm? How many are already being contracted in the commercial and the defense realm?

32:57Yeah. We are now making multiple boats a week out of our Los Angeles-based factory on the consumer side, so on the smaller vessel side. We are under contract for$160 million worth of tugboats. And I can't disclose much more about this, but we are working with a major defense prime on autonomous surface vessels. So basically drone ships out on the water. Mitch, unfortunately, defense is front and center right now. And we think about a Middle Eastern conflict that does impact supply chains. How much are you able to keep the supply chain U.S. and local? How much are we now self-sufficient in the terms of electric vehicle batteries that you need?

33:38Yeah, we are a Los Angeles based company. We have 200 people working out of our headquarters here in Los Angeles. We pride ourselves on making things here in America. It certainly helps our supply chain that we do this locally. That doesn't mean that we are entirely insulated from disruption in supply chains across the world. But we've got a big jumpstart on this and have since we first started this company five years ago. ARC CEO Mitch Lee, it's great to catch up with you. Congratulations on the fundraise and the scaling of the business. Thank you for having me. Coming up, we'll discuss the race for leadership between AI labs, what it means for the labor market, too.

34:17Ethan Choi of Coastal Ventures. Stick around. There's a Bloomberg Tech. Hello, hello. I'm Malcolm Gladwell, host of the podcast Smart Talks with IBM. I recently sat down with IBM's chairman and CEO, Arvind Krishna, and I asked him, how can companies use AI to its fullest potential to create smarter business? My one advice to them, pick areas you can scale. Don't pick the shiny little toys on the side. For example? If anybody has more than 10 % of what they had for customer service 10 years ago, they're already five years behind. If anybody is not using AI to make their developers who write software 30 % more productive today, with the goal of being 70 % more productive.

35:10Yeah. Wow. So we are not asking our clients to be the first experiment on it. We say, you can leverage what we did. We're happy to bring out all our learnings, including what needs to change in the process, because the biggest change is not technology. It's getting people to accept that there's a different way to do things. To listen to the full conversation, visit ibm.com slash smarttalks.

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36:49Time now for Talking Tech. And first up, K-pop demon hunters. They're heading out on a world tour. Netflix is seeking to capitalize on its most popular movie ever by planning live shows next year featuring songs from the film ahead of a planned sequel. Plus, Samsung is devoting a record amount of capital,$73 billion, to seize the lead in AI semiconductors from Korean rival SK Hynix. Now look, the tech giant is hiking investments 22 % this year as it sees a surge in orders for high bandwidth memory and server-grade storage. And Google is moving ahead with plans for a major data center in Michigan.

37:22The project requires the company to cover the full cost of adding new clean power. The deal is unusual, featuring a 20-year electricity contract for as much as one gigawatt of power, but it may serve as a playbook for other firms desperate for electricity to power the AI boom. And look, discussions on the AI boom and productivity promised. The impact has dominated conversations by tech leaders and policymakers of late. But how far does the AI boom have left to go? Our next guest says infinitely. Ethan Choi, partner at Coastal Ventures, joins us now. So where it's the first innings, how much more can actually the economy be able to support an infinite demand, as it seems, for compute and for the latest AI agent?

38:06It's great to be here. Thanks for having me. It's great to be here. Thanks for having me. Look, we are just at the beginning stages. I say we're not even in the first innings yet. The biggest constraint today is data centers and gigawatts of compute. But in terms of demand, I view it as infinite. We haven't even scratched the surface of robotics starting to infiltrate our workplaces, our homes. And we're just beginning to have agents in the enterprise that can do things across the enterprise at the intelligence level and at the speed of humans. And so we're just at the very beginning. Just at the very beginning of the pushback as well, in many ways.

38:52And I'm interested, actually, as to first whether we push back against some of the valuations that we're seeing at the moment, Ethan. I got to speak with Gradient yesterday, who'd just been raising a new fund, talking about some of the numbers involved in the latest funding rounds. Darren Shiraz, just hear what he had to say. We actually think that there is a bubble in certain parts of AI. There are bubbles. There is a bubble in foundational model companies, contenders to OpenAI, contenders to Google, contenders to XAI and Anthropic. When it comes to a lot of these other companies that are raising a billion dollars here or there, it seems as though those are a lot of venture capitalists or investors that want to chase the next OpenAI.

39:31But realistically, the moat at the model layer is just capital. How much money can you raise? Coz was backed OpenAI. Are people in VC still trying to chase investments right now? Are the rounds too high? Some of the foundational models and even the applications? Look, it's clear that we have clear leaders at the LLM level for the foundational models. And today here in the US, it's really four companies, OpenAI, Anthropic, XAI, and Google Gemini. But there's a lot of research being done on novel model architectures. things like state-space models, neurosymbolic models, math-based models. And there is a lot of optimism that there'll be some kind of leap ahead of the transformer architecture that was so fundamental to chat GPT and GPT-3 that caused this AI boom.

40:24And so, you know, to some degree, it's justified that, you know, VCs like us and others are going to back teams that are going to take a crack at building the next open AI and Anthropic. And if there's a company that has that potential with a research team that has the caliber to produce a novel model architecture, it's the kind of bets that we should be making as an industry. Now, are the valuations too high? You could argue that, but we have to work backwards in some ways. These teams need to hire very expensive researchers. They need to have gigawatts of compute to train models. And that's very, very expensive.

41:08And as you think about the cap table, we have to make sure that the founders and the team are incentivized. And to some degree, if they're going to raise hundreds of millions or a billion dollars out of the gates, it means working backwards. If we're going to buy 20 % as VCs, then the math kind of takes care of itself in terms of the valuation. So that's where we are today, somewhat justified, a little overvalued. Ethan, can Silicon Valley venture, can American venture, can developed world venture support the sort of numbers that are involved if Middle Eastern money becomes harder to access at this moment?

41:45Yes. Look, today there's a lot of debate about whether the model companies should be profitable and self-sustaining. I don't believe that's the right approach. We're just at the very beginning and there's a lot of R &D left to do. There's a lot of business model transformation that's happening today, obviously with the SaaSpocalypse. Fundamental existing business models are being disrupted heavily. And so it's a time where we are, as an industry, still figuring out what to do in terms of how to fund all these investments. Today, at least, globally, the foundational model companies have been able to raise capital.

42:24But at some point, I do believe it becomes somewhat sovereign. And at Coastal Ventures, we have been investing behind themes in companies like Savum and Sakata in Japan, where they're raising money and being funded by governments. And there is a question, and we're seeing some of this play out with the DOW between OpenAI and Thropic. Does the government step in and through either big contracts, continue to fund some of the developments and the investments that need to be made into compute and to the R &D for the research models. The news doesn't stop on the weekends. Context changes constantly.

43:02And now Bloomberg is the place to stay on top of it all. Hi, I'm David Gurra. Join us every Saturday and Sunday for the new Bloomberg This Weekend. I'm Christina Ruffini. We'll bring you the latest headlines, in-depth analysis, and big interviews. All the stories that hit home on your days off. And I'm Lisa Mateo. Watch and listen to Bloomberg this weekend for thoughtful, enlightening conversations about business, lifestyle, people, and culture. On Saturday mornings, we put the past week's events into context, examining what happened in the markets and the world. Then on Sundays, we speak with journalists, columnists, and key political figures to prepare you for the week ahead.

43:38Join us as soon as you wake up and bring us with you wherever your weekend plans take you. Watch us on Bloomberg Television, Listen on Bloomberg Radio, stream the show live on the Bloomberg Business app, or listen to the podcast. That's Bloomberg This Weekend, Saturdays and Sundays, starting at 7 a.m. Eastern. Make us part of your weekend routine on Bloomberg Television, radio, and wherever you get your podcasts.

From the publisher

Bloomberg’s Caroline Hyde discusses Micron earnings as the memory maker plans heavy spending on production to meet demand. Plus, Alibaba says it's aiming to generate $100 billion in cloud and AI revenue within the next five years, even as earnings come under pressure. And, Uber is set to invest up to $1.25 billion in Rivian's robotaxi fleet in the ride-hail company’s latest deal.

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