Apple Picks Gemini to Run AI-Powered Siri

12 Jan 2026 · 43 min · 28 chapters

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Bloomberg Tech Podcast Episode Summary

Episode Title

Apple Picks Gemini to Run AI-Powered Siri

Episode Description In this episode, hosts Caroline Hyde and Ed Ludlow discuss major technology news including:

  • Apple's decision to utilize Alphabet's Gemini for Siri in a multiyear agreement.
  • Nvidia's $1 billion investment over five years in partnership with Eli Lilly to enhance AI use in pharmaceuticals.
  • Paramount's legal action against Warner Bros. Discovery as part of ongoing merger negotiations.

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Key Topics Discussed

  1. Apple's Partnership with Alphabet
  2. Announcement: Apple has chosen Google's Gemini model to power Siri.
  3. Financials: The decision involves a substantial payment of approximately $1 billion per year.
  4. Market Reaction: Initial positive stock reactions for Alphabet's shares, which briefly crossed the $4 trillion market cap before stabilizing.
  1. Nvidia's Investment in AI Pharmaceuticals
  2. Partnership: Nvidia is investing $1 billion in a Silicon Valley lab with Eli Lilly.
  3. Objective: The lab aims to expedite drug discovery through AI, targeting diseases that are difficult to treat.
  4. Market Perspective: Nvidia's role is seen as pivotal in merging AI with the pharmaceutical industry.
  1. Paramount's Hostile Takeover Move
  2. Legal Actions: Paramount is suing Warner Bros. Discovery and plans to nominate directors to counter the Netflix merger.
  3. Strategic Positioning: Paramount is arguing that its offer surpasses Netflix's, which lacks transparency regarding asset valuations.

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Discussion Highlights

Economic Environment

  • Market Trends: The podcast discusses broader market anxieties, particularly in relation to federal policies and the upcoming Consumer Price Index (CPI) reports.
  • Bond Market Activities: Observations on fluctuations in the bond market and implications for investor sentiment.

AI and Healthcare

  • AI's Impact on Drug Discovery: Denny Fish from Janus Henderson mentions the transformative potential of AI in pharmaceutical development, emphasizing the shift from traditional methods to AI-driven approaches.
  • Investment Landscape: Continued strong interest in AI infrastructure investments is anticipated, despite some market corrections.

Media and Entertainment Sector

  • Paramount vs. Warner Bros. Discovery: The episode explores the implications of Paramount's legal maneuvers and its competition against Netflix in the content landscape.
  • Investor Insights: Felix Gillette highlights the importance of transparency in meeting shareholder expectations amid evolving media valuation dynamics.

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Key Takeaways

  • Strategic Partnerships: Apple's choice of Google's Gemini signifies a significant shift in how major tech companies leverage AI for competitive advantage.
  • Investment Trends: Nvidia's collaboration with Eli Lilly showcases a growing trend of integrating AI in healthcare, indicating a robust future for AI in drug development.
  • Ongoing Rivalries: Paramount's aggressive tactics against Warner Bros. Discovery reflect the high stakes involved in the media mergers and acquisitions landscape.

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Conclusion This episode of Bloomberg Tech emphasizes the interplay between tech innovation and business strategy, especially within AI, pharmaceuticals, and media. The discussions illustrate how major companies are navigating the complex economic landscape while striving for growth and competitive positioning.

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

Market Overview and Key Headlines

0:45 to 1:52

Discussion of major market movements and news headlines.

“You can find new episodes of the Bloomberg Daybreak Europe podcast by 7am in Dublin or 8am in Brussels, Berlin and Paris On Apple, Spotify, YouTube or wherever you get your podcasts Bloomberg Audio Studios.”

Apple Chooses Gemini for Siri

1:52 to 2:48

Details on Apple's decision to use Google's Gemini for Siri.

“And really, we've got anxiety across the markets more broadly.”

NVIDIA and Eli Lilly AI Partnership

2:48 to 4:26

Exploration of NVIDIA's investment with Eli Lilly in AI pharmaceuticals.

“that Apple would pay Google$1 billion per year.”

Drug Discovery and AI's Impact

4:26 to 6:14

Discussion on how AI is transforming drug discovery and healthcare.

“Bloomberg's Katie Greifeld just down the road at the JPMorgan Healthcare Conference all day long here in San Francisco, less than two weeks into the new year.”

Market Dynamics and AI Infrastructure

6:14 to 9:03

Analysis of market dynamics and the investments in AI infrastructure.

“The real, you know, the big prize out there is drug discovery.”

Funding Challenges in AI Deployment

9:03 to 10:40

Insight into the funding challenges and deployment of AI technologies.

“saying how much the data center infrastructure build-out is going to cost up until 2030.”

Paramount's Hostile Takeover Attempt

10:40 to 11:34

Overview of Paramount's legal actions regarding a merger with Warner Brothers.

“And so that in itself is a natural governor on just how fast it can get deployed.”

DeepSeek Hedge Fund Performance

11:34 to 14:02

Analysis of DeepSeek's hedge fund performance and its implications.

“Well, it says it plans to nominate directors to Warner Brothers Discovery's board to vote against the approval of a merger with Netflix, of course.”

DeepSeek's Hedge Fund Success

14:02 to 14:49

Learn about DeepSeek's hedge fund performance and its implications.

“Bloomberg's Felix Gillette, thank you very much.”

Funding DeepSeek's Research

14:50 to 15:40

Explore how DeepSeek's hedge fund performance impacts its research budget.

“And the finance story is very impressive.”
Show all 28 chapters

Investment Strategies in AI

15:43 to 16:58

Understand the investment strategies that DeepSeek may pursue.

“Or he could invest in other kinds of AI initiatives that may not be directly the same as DeepSeek.”

Chinese EV Market Dynamics

16:59 to 17:46

Examine the evolving landscape of Chinese electric vehicles in Europe.

“I mean, just think MiniMax went public on Friday.”

Challenges for Chinese EVs in the U.S.

17:47 to 19:16

Discuss the hurdles Chinese EVs face in entering the U.S. market.

“Are we going to see them able to tackle the European market and continue to scale?”

NVIDIA's Autonomous Driving Innovations

19:17 to 20:33

Learn about NVIDIA's advancements in autonomous vehicle technology.

“and getting the experience of riding in a Chinese OEM and discovering how good quality, high tech.”

Consumer Experience in EVs

20:34 to 21:43

Explore consumer expectations regarding technology in electric vehicles.

“So definitely Tesla has some challenges out there for sure.”

Future of Electric Vehicles in 2026

21:44 to 23:25

Project the trends and challenges for electric vehicles until 2026.

“If you think about, you know, I think when you think about robotaxis, right, we're starting to see a lot of that with Waymo and some other companies, Tesla, getting consumers into those robotaxis autonomous.”

Market Reactions to Credit Card News

23:26 to 24:07

Analyze how recent news impacts tech stocks and financial markets.

“Coming up, we'll speak with Lux Capital co-founder Peter Herbert about the firm's latest fund, its biggest fund.”

Google and Apple AI Partnership

24:08 to 26:19

Discover details about the partnership between Google and Apple for AI.

“We're going to get to that later in the program.”

Alphabet's Market Position

26:20 to 27:01

Understand Alphabet's performance and its role in the tech market.

“And it's interesting because we did see those gains fade a little bit.”

Lux Capital's New Fund Announcement

27:02 to 28:03

Learn about Lux Capital's fundraising success and investment strategy.

“where interest in frontier tech is incredibly high.”

Emerging Trends in AI Investment

28:03 to 30:07

Explore the current trends in AI investment, particularly in defense and robotics.

“These are some of the domains that are moving the fastest.”

Opportunities in Physical AI

30:07 to 32:25

Discuss the shift from 2D AI to 3D applications, focusing on robotics and automation.

“but it's seeing AI for the first time coming out of the digital world into the physical.”

Global Landscape of AI Startups

32:25 to 35:03

Understand the global nature of AI startups and the diverse markets they emerge from.

“There are many global competitors in this marketplace.”

Capabilties of Neo Robot

35:38 to 37:16

Learn about Neo's new abilities and its implications for robotic learning.

“If your robot is actually not similar enough to a human, this doesn't work anymore because you wouldn't do the task in the same manner.”

Safety Protocols in Robotics

37:16 to 39:40

Explore the safety measures implemented in robotic systems and AI alignment.

“You have what we call the passive intrinsic safety, where humans are actually very safe in the sense that we have to actively work to hurt each other.”

Impacts of AI on Industry Standards

39:40 to 40:55

Discuss the influence of AI advancements on industry standards and practices.

“Bernd Burnick, CEO and CEO of One X, it's great to have you back here on Bloomberg Tech.”

Credit Card Interest Rates and Consumer Awareness

42:04 to 43:19

Discussion on high credit card interest rates and consumer awareness.

“The legal levers that he can actually pull to implement such a proposal are still very unclear.”

Reactions from Fintech Executives

43:20 to 43:56

Analysis of fintech executives' responses to proposed interest cap.

“But push us forward to what some of the key executives have said in response to this potential move.”
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Transcript

Automatic transcript. May contain errors.

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

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

1:11Bloomberg Tech is live from coast to coast with Caroline Hyde in New York and Ed Ludlow in San Francisco. This is Bloomberg Tech. Coming up, NVIDIA plans to invest$1 billion over five years in a new lab with Eli Lilly to speed up the use of AI in the pharmaceutical industry. Plus, Paramount sues Warner Brothers Discovery and plans to nominate directors to the board as its increasingly hostile takeover bid takes aim to upset Netflix. An alphabet breaches$4 trillion in market value. This, as CNBC reports, Apple has picked Gemini to power Siri this year. And then those moves fall again. And really, we've got anxiety across the markets more broadly.

1:57digging into the market implications of what seems to be a dialing up in the administration's fight with the Fed. That is what the market tries to digest and why we see a bit of a sell America theme at the moment. Yes, there's more moves in terms of benchmarks for stocks. We're down by a tenth of a percent on the Nasdaq 100. But we're seeing bigger moves when you're looking at what's happening in the bond market, in the dollar, for example. We're seeing 30-year yields once again pushing up two basis points, seeing the dollar on the downside. All of this as we try and bake in the macro implications.

2:24We look to CPI tomorrow, but you're looking at what's underneath the hood right now. Yeah, the big breaking news of the last hour is that Apple has selected Google's Gemini model to power Siri this year. Reporting from CNBC, citing an Apple statement. And you can see a big reaction in the stock the moment the headlines hit. It has faded. I'll take you back to November when Bloomberg's Mark Gurman reported that a deal was very close, that Apple would pay Google$1 billion per year. And this was just an interim until Apple could get its own foundation models together. But we'll continue to track that story.

2:58Another interesting transaction in the market this morning. NVIDIA co-investing$1 billion with Eli Lilly into a Silicon Valley-based lab split over five years. AI pharmaceuticals. But the details are interesting here, Cara. And we want to get those details. We can do exactly that with Katie Greifeld. She's over at the JP Morgan Healthcare Conference. Indeed, looking at Silicon Valley, getting ever closer to the world of health. Katie, what do you make of this deal? Yeah, this was a really interesting headline to wake up to, especially when you remember that Eli Lilly partnered with NVIDIA back in October to develop an AI supercomputer.

3:38So the details on this specific deal as you guys run through them, $1 billion over five years to build a facility in Silicon Valley, basically a new lab. We don't have much details when it comes to the terms beyond that, but both companies have described this as a joint investment. And I just actually spoke to the CFO of Eli Lilly, Lucas Montarse, about what the ultimate vision is here when it comes to AI and health care and this specific partnership. And he said this is really about drug discovery. It's still early days, of course. They haven't built the facility yet. But the hope is that this will help basically in discovering drugs to really target and treat those really hard to treat diseases.

4:20Think gene therapy, for example. So, again, early days, but some big ambitions here. Bloomberg's Katie Greifeld just down the road at the JPMorgan Healthcare Conference all day long here in San Francisco, less than two weeks into the new year. And NVIDIA is already dominating the news flow. I want to get to Denny Fish, portfolio manager on the global technology and innovation team at Janus Henderson. And the frank reality is that NVIDIA is the top holding across a number of funds that you manage. What do you make of that relationship between NVIDIA and Eli? Yeah, well, it actually makes a ton of sense to me.

4:51I mean, if we think about what's grabbed all the attention over the last three years since the ChatGPT moment, it's effectively been the idea of the digital manifestation of AI. But the reality is, if we think about the profoundness of how this will impact the economy over time and society more broadly, the physical manifestation of AI is as big, if not a bigger opportunity. And if you think about drug discovery and what that means for society, and then just think about how far we've come with autonomous driving, where we're going with robotics, there are all these different verticals where it makes a lot of sense for NVIDIA to be leaning into.

5:29And frankly, NVIDIA has got some of the best talent in the world. And to see these partnerships with market leaders makes a ton of sense. And I bring it back. Sometimes you get this argument of circularity. But the reality is if you're Jensen and you have a firm belief at just how big these market opportunities are, you should be leaning in hard to this in co-investments into labs like they're doing with Lilly or direct investments into companies like they're potentially doing with OpenAI. With autonomous driving, a lot of people get it. I wrote about it extensively this weekend. We're going to talk about it later in the program.

6:05The go-to-market in the first instance is with Mercedes. We use hardware and software. But with pharmaceuticals, drug discovery, research, what is the go-to-market that NVIDIA is going to pull off in the future? Well, so far, if we think about pharmaceuticals, where we've seen the early benefits of AI have been in things like the clinical process, getting drugs that have already been discovered through that process, internal efficiencies, marketing, things like that. The real, you know, the big prize out there is drug discovery. It's finding solutions to problems that we just couldn't get there without AI or would have taken much, much longer.

6:48So the go-to-market is actually direct partnerships with these companies to fast forward the discovery process. Denny, that speaks to the broadening out that we're starting to see in the market. We're also going to talk about that, the fact that we are seeing the S &P 500 actually doing a bit of a challenge in terms of returns versus some of the Mag 7 names. How much does it mean that we've already juiced the valuation side of the equation for NVIDIA? Or is AI infrastructure still going to be the key watchword for 26? Well, so far, all the data points would suggest that the investments into AI infrastructure are going to continue to be quite robust.

7:30and we would fully expect that. And so far, just looking back, I mean, Ed was talking about Alphabet earlier and the relationship with Apple, just watching the leapfrogging effects with OpenAI and XAI and Gemini, that's very healthy. And as long as we continue to see that and then bringing back to NVIDIA, NVIDIA now is, they announced last week, Rubin is fully in production. That is going to have material impacts as it relates to inference productivity versus training. And inference is the next big handoff. And so if you're a believer that we are now in this period where we're going to start seeing increasing deployment of these applications, inference is going to go through the roof.

8:18And as a result, that's going to continue to sustain the investment profile. So we expect it to be pretty healthy. Now, I will say when you're talking about the broader S &P 500, I mean, one of the theses that we've had for the last three years is AI has really started to take hold is this is going to be very impactful across all industries. And if you believe that and the companies that are able to get revenue lift because of deployment of AI, but then at the same time are able to drive cost efficiencies, that should be pretty good for multiples. And so I'm not surprised to see the market sort of anticipating of sorts some of the benefits we might get from AI.

8:57The market's also got more discerning on who has to pay for the AI infrastructure and what that costs in terms of debt, Denny. I'm looking at, again, yet another number,$3 trillion this time coming from Moody's, saying how much the data center infrastructure build-out is going to cost up until 2030. I mean, McKinsey had already put$7 trillion on that number. but is there a worry as to who has to actually pay for it, Denny? Well, of course there is. The good news is the majority of this is being funded by the hyperscalers and they generate the free cash flows to actually be able to fulfill the commitments that they've made.

9:33And they're all playing the 20-year game. I mean, we've just seen that with the number of power agreements that are being struck between Meta and Google, Microsoft and others. And so we feel pretty good there. Now, clearly, you know, the debt markets are going to have to remain healthy. We're going to have to continue to see progress as it relates to, you know, the ambitions of these companies. But there's also something else, too. You know, when you look at those numbers, there's also a lot of double counting in it. You really have to parse it back to get to the real meat of what's necessary.

10:07and then also there are natural governors at just how fast this can get deployed. So the deployment of the capital is going to be pretty measured and that's what makes this very different than say the dot-com era where so much capital came into areas like telecom infrastructure so fast and it was very easy to get that stuff deployed. This is hard. You look at what's going on at Stargate and Abilene, Texas and trying to put up 10 gigawatts, the labor that's needed, the power, just the expertise. And, you know, it's a heavy lift. And so that in itself is a natural governor on just how fast it can get deployed.

10:43This is what we were trying to pass at CES last week. The baseline assumption very quickly, Denny, is that demand still outstrips NVIDIA and AMD's ability to supply. How does that set us up for this year? Well, that's good for infrastructure, you know, because when you're in a situation like that, and even a TSMC, for example, where... second top. Yeah, yeah, where, where, you know, you only have so much capacity and you can only bring up incremental foundries so quickly. And so as a result, that's really good from a pricing standpoint, particularly when you're the only game in town. And for certain aspects, NVIDIA is still the only game in town, too.

11:22Danny Fish of Janice Henderson, investors, great to have you on all the games. Meanwhile, coming up, Paramount in ramped sub efforts to support a planned merger between Warner Brothers Discovery and Netflix. The latest in the media Emerger saga. That's next. This is Bloomberg Tech.

11:44Paramount Skydance. Well, it says it plans to nominate directors to Warner Brothers Discovery's board to vote against the approval of a merger with Netflix, of course. And the company has filed a suit to force Warner Brothers to disclose information about the proposed Netflix Warner Brothers tie-up. Bloomberg Entertainment reporter Felix Gillette joins us on what is an ever more hostile potential takeover. So suing for more information, what do they want to really demonstrate to investors here? I mean, at this point, you know, they're choosing to raise the hostility versus raising their bid. Yes.

12:16And I think, you know, they've been campaigning shareholders, join our tender offer. You know, they've said for weeks now, our offer was better than the Netflix offer, accusing the Warner Brothers board of not being transparent during the proceedings. And now they're making this move to essentially say, you know, you have to provide the information to shareholders so they can judge which is a better offer. And to do that, you know, the big, most contentious issue for months now has been how do you value the cable assets that Warner Brothers is planning to spin off prior to selling the studios and the streaming business to Netflix?

12:52The Netflix offer$27 a share for the studios and streaming spin off the cable networks paramount 30 a share for all of it but basically assigning a value to the networks of zero dollars right this is a saga it will play out over time it's a really difficult question for you as as editor here felix but like what happens next is there a real chance that paramount can force a hostile takeover through this mechanism they're gonna try you know i mean i think like you you know the shareholders at this point a lot of them seem to be sitting on the fence, you know, in terms of who they're going to support.

13:28I think a lot of them are hoping that Paramount would come in with a higher bid, go over the$30 a share. That hasn't happened yet. You know, I think, again, you know, David Ellison and Paramount have been trying to advocate for this notion that, like, the Netflix deal isn't even going to happen. They have too many regulatory issues, you know, putting aside the fact that if Paramount offer was accepted, that they'd have their own issues in Europe with the States. So, yeah, I mean, this continues to just get more and more hostile. And this is, you know, the next step is this lawsuit and a proxy fight over the directors.

14:08Bloomberg's Felix Gillette, thank you very much. Another top story, DeepSeek founder Liang Wenfeng's hedge fund surged more than 50 % last year, making it the second best performer among China quant funds. The strong performance helped boost the cash available for DeepSeek itself. Let's get out to Bloomberg Tech Executive Editor Peter Elstrom. You know, there's the Bloomberg story, right, which is about a quant fund's amazing performance. But in the reporting, it's super clear. The read-through that people are making is that the returns on that, the earnings from that fund's performance can be taken by DeepSeek's founder and used to give DeepSeek a bigger budget for research and deploying its models.

14:48Right, right. That's exactly true. Yeah, so there's a finance story here, but there's also a tech story. And the finance story is very impressive. The hedge fund high flyer that was really the place where DeepSeq was born had a great year. Returns were 57 % on average across their various funds. That is very good for the founder, Liang Wenfang. As you mentioned, it's good performance compared with the other quant funds out there. But it also gives him a much bigger checkbook to be able to go out there and make new investments. Now, that probably would be in DeepSeq. DeepSeek has gained a lot of momentum since a year ago when they had their big breakthrough, dropped the bombshell that they had invented this LLM for a fraction of the cost of open AIs with very similar performance.

15:31So now you could see the founder invest more money into DeepSeek, perhaps chase after a little bit of the capital intensive projects that we've seen in the U.S. in particular. We haven't seen those kind of investments in China so far. Or he could invest in other kinds of AI initiatives that may not be directly the same as DeepSeek. Because the whole claim about DeepSeq was it only cost them$6 million. And the theory in this particular reporting is that maybe they're getting revenues of some$700 million. That could go a long way if you're thinking about the costs of doing the business here. Peter, talk to us about why they're able to outperform so much.

16:06What is it they're betting on? How are these quant funds managing to be so superior? Well, partly with DeepSeq, early on, they were able to do this because there were a lot of constraints around the AI initiatives. in particular. And we've written a fair bit about High Flyer in the past. They have these quantitative techniques to be able to outstrip their peers within the China market. They were the number two fund, as you mentioned. Also, the China market has been on fire. There have been a lot of investments in other kinds of AI models. DeepSeek hasn't gone public yet, but two of the other AI models within the country have gone public, giving them a lot of momentum here.

16:41So the market's been very strong. They've been able to take advantage of that. But again, as you say, they now have 100 times as much money as they used to start up DeepSeek in the early days. What are they going to do with that money? How are they going to invest it? They're not talking about this publicly, of course, at this point, but we would expect more things to come from High Flyer and DeepSeek in the future. I mean, just think MiniMax went public on Friday. It was up 100%. It's up 15 % again today. Peter Elstrom on All Things Asia. We so appreciate it. Thank you. Coming up, a bit more on Asia.

17:09Could Chinese EVs actually dodge tariffs in the EU? We're going to discuss the global electric vehicle wars with Stephanie Valdez-Streetie from Coxsup Automotive. That's next. This is a Bloomberg Tech.

17:26The European Union is weighing minimum prices for EVs exported to the bloc from China. That actually would replace steep tariffs. Is it a sign that we've got some easing trade tensions, even as the US presses Europe to take a tough line on Beijing? Here to discuss this is Stephanie Valdez-Struti, Director of Industry Insights for Cox Automotive. That was sort of the latest news headline that we get that maybe BYD will be able to sell into Europe and not have to have huge tariffs that eats its margin. Are we going to see them able to tackle the European market and continue to scale? Yeah. You know, we look at the electric vehicle market, right?

18:01China definitely is dominating. You think about their strategy is to export, right? They've exported millions of vehicles, and they've had a lot of luck in increasing share. And so the UK, it's basically, you know, it's a compromise, right? The EU, Europe needs to meet those climate goals, right? They need to increase their EV adoption. They rely on China for minerals, right? Batteries. So I think it's a good compromise. And I think China will continue to increase their share in those markets, not only UK, but some of the emerging markets as well. Meanwhile, one of the biggest feedback I often get on my social is about the lack of BYD or Chinese offerings here in the United States.

18:43Is that ever going to come to bear or are they just forever going to be shut out because it's really bets on Tesla and also pushing away against EVs more broadly? Yeah, you know, I think if you look at the U.S., that's one thing I think both political parties can agree on is to keep China out. And so I think that's kind of where we're at now in the future. Maybe we could see something that's similar happen to the Japanese and the Koreans. They come, they build, they partner, and they build manufacturing plants. But for now, the near term, we're not going to have those, other than the ones that we already have under Geely, which is the Volvo and Polestar.

19:16But definitely, I think consumers are seeing EVs when they travel abroad and getting the experience of riding in a Chinese OEM and discovering how good quality, high tech. And so I think that it would resonate with you as consumers at the right price. Stephanie, last week at CES, NVIDIA outlined a full stack hardware software solution for autonomous driving. And it very quickly raised questions about Tesla. So I asked Jensen Wong about it. Listen to this. I think the Tesla stack is the most advanced AV stack in the world. And I think the Tesla AV operations is the most advanced in the world. And I'm fairly certain that they were already using end-to-end AI.

20:03So here's the thing. Mercedes will ship a vehicle this quarter capable of point-to-point, hands-free, using NVIDIA technology. Does Tesla finally have something real in the market to worry about? I think they do. You think about some of the – even Rivian is another player, right, that they, at their AI day, they announced their plan. I think definitely there's a lot of competition. And I still think, you know, we're making some tremendous progress. But I think one of the challenges continues to be regulation, safety. But I think the NVIDIA announcement with that technology to really identify those edge cases, which will help with regulations, more credibility.

20:41So definitely Tesla has some challenges out there for sure. The reason I find it fascinating is that if you are a Tesla owner, you know, you know all about full self-driving FSD. It's a part of the pitch from Tesla. but the vast majority of the auto market, at least in America, maybe they don't think about, okay, I'm going to buy a vehicle based on its ability to do this. Do you think that changes from here on in? I think more from consumer, it's more about the in-car experience. So we keep hearing the software defined vehicles. I don't think they're going into like, I want this autonomous or full self-driving.

21:14It's more about what kind of consumer experience can I have with technology in the vehicle, so in-vehicle experience. So maybe it's the ability to have some of that ADAS technology, but I don't think that's the main driver. It's more about what's that experience going to be and what other options that vehicle provide for me. In many ways, it's about marketing, getting people in the cars to understand what it feels like and then sort of perpetuate that demand for wanting more and more and more. From your perspective, is the consumer mindset there from a safety perspective? Is the regulation there from that perspective as well?

21:48Yeah, I think so. I think that's the one thing. If you think about, you know, I think when you think about robotaxis, right, we're starting to see a lot of that with Waymo and some other companies, Tesla, getting consumers into those robotaxis autonomous. So they're getting to finally experience that. But I still think, you know, it's been hard to get consumers to trans, you know, kind of consider electric vehicles. To get into an autonomous vehicle isn't more so. So I think there's still a lot of work to be done in terms of credibility and safety perceptions for autonomous vehicles from a consumer perspective.

22:21Stephanie, look forward to 2026 for us. What is it you expect to have in the United States, in particular, in electric vehicles and any growth that may or may not come to your mind? Yeah, you know, 2025, it ended exactly where we thought it would. Our report comes out tomorrow, But we're going to be about 2 % down year over year, round up to 1.3 million vehicles. But going into 2026, right, we got rid of the carrot and the stick. We no longer have the IRA tax incentive. The corporate average fuel economy standards have been less stringent, the California waiver. But given all that, we still have 20-plus new EVs launching in 2026.

23:03So I think we're still going to see momentum. It's going to be hard, but I think consumers are going to have more product. But I think the one thing which we've talked about before in the past is the affordability. If you look at the current product lineup, these that are offered over 60 percent or over sixty five thousand dollars. So that's definitely about it. Stephanie Baddard-Street, Director of Industry Insights, Cox Automotive. Thank you so much. Coming up, we'll speak with Lux Capital co-founder Peter Herbert about the firm's latest fund, its biggest fund. Silicon Valley meets D.C. This is Bloomberg Tech.

23:45welcome back to bloomberg tech there's a story we're going to go deeper on later in the program the president saying that if credit card companies don't respect an interest cap of 10 in the year they will be facing uh illegal activity claims basically these are two of the more tech focused names klana affirm both down on the news i would note american express is also down as an example significantly. We're going to get to that later in the program. Back to one of the top stories. We've had confirmation from Google that it has entered into a multi-year agreement with Apple for Gemini to be the underpinnings of the next-gen AI Siri.

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24:22You see when the news broke just before the program about 10.30 Eastern time, a big jump in Alphabet shares that sent market cap through 4 trillion. They then faded. And I'd remind you as well that Bloomberg did report in November that a deal was close for Apple to pay Google about a billion dollars a year for use of that very large 1.2 trillion parameter model. Caro, what else? Well, let's dig in on Alphabet on its recent moves, but also where it stands versus the rest of the market. Bloomberg equity reporter Carmen Reineke has been really digging in to the idea that maybe we're broadening out.

24:54Maybe Mag7 isn't just a surefire bet. Alphabet was a surefire bet last year. Tell us about the discernment we're starting to see among these key mega caps? Yeah, I mean, what we saw last year is continuing, at least in the first few weeks of this year, where the winners and losers are really important. So Alphabet was a winner last year. It was the biggest outperformer and one of only two stocks in the Mag7 group that outperformed the broader market, the other one being Nvidia. So it's really established itself as dominant in the AI trend. And, you know, maintaining that momentum going forward is really important, especially considering that we're starting to see some of these other names lag a little bit.

25:31They're just slowing down in terms of overall growth. And heading into earnings season, some of those things are expected to continue, right? We're hitting the law of large numbers. Growth is expected to slow. And so that might translate into stock gains as well. It's been an interesting morning for Alphabet and Apple and the news flow around the deal to improve Siri. And I was reflecting on literally just the ticker, right? Alphabet soars and breaches$4 trillion market cap, then kind of fades straight away. What did you see in the markets this morning in terms of how people reacted? Yeah, so we saw that big spike for both Google and Apple shares.

26:14It did push Google over$4 trillion in market cap. It's also surpassed Apple recently. So it's the second largest company in the S &P 500, really in the market, other than NVIDIA. And it's interesting because we did see those gains fade a little bit. They're up now. I think both stocks are trading in positive territory. But the overall market, I think we are still seeing a lot of macro news weigh on this. It's been a little bit all over the place today. So big tech is obviously still super important. These stocks are really important. They're so large. They add a lot and can weigh a lot on the broader index.

26:48But we also are seeing that there is a broadening out. People are looking at other sectors. And it's not just big tech that's always driving the gains and losses in the market. Bloomberg's common, Reineke, thank you very much. Let's go from the public markets to private markets, where interest in frontier tech is incredibly high. Lux Capital's raised$1.5 billion for its ninth fund, the largest in the venture firm's more than 20-year history. Peter Hebert, partner and co-founder of Lux Capital, is with us here in San Francisco. Thank you for having me. It's exciting news, right? A ninth fund, the largest ever.

27:22You turned away about a billion dollars of capital. What's very interesting about it, though, is the consistency. The themes are the same. The focus is the same. What do you want to do with this fund? So we will be doing more of the same, but just accelerating that pace. And so we've been investing now for more than 25 years in physical, computational and life sciences, but really at the cutting edge and the frontier of all these different scientific disciplines. And so as we say, science doesn't scale itself. And so that's where we're going to be putting the thrust of our investment. Peter, we enjoy having you on the program.

27:54The firm, you, Josh, Dina, when all of you come on, it seems very disciplined, very calm. Check sizes, 100 ,000 up. This is exciting, though. These are some of the domains that are moving the fastest. And actually, would you reflect that this administration has allowed you to do that? The areas of defense, other areas adjacent to AI is something that the Trump administration has moved quickly to support. So certainly in areas like defense, kind of broadly reindustrialization, a lot of the things that we do, it's certainly having a moment. And that's really reflected, one, from the technological waves that are happening.

28:35One of the things that is top of everyone's mind right now is physical AI. Right now there's also the J.P. Morgan health care event happening in San Francisco. You're seeing huge breakthroughs in medical robotics and in computational drug discovery. But absolutely, if you look at the world, it's an uncertain place. And defense technology has been really soaring as large nation states rearm and focus on deterrence. Peter, Andril, of course, one of the key bets you made, and we had Palmer Luckey on the show last week from CES. Of this fund, how much will be to double down on prior bets? Or how much will be to take out totally new bets on new companies coming to your inbox?

29:18So the spirit of this fund is really thinking about it as a blank slate, starting with a portfolio of probably 40 to 50 core positions. Historically, we've had companies that have gone from one fund to another, cross-fund investing, but it's generally not the focus and philosophy of each new core fund that we raise. $100 ,000 to$100 million. That's a huge breadth that you're giving yourselves. Where do you think you will be excited to deploy? Have the foundational models moved forward? Are we seeing more interesting areas of more specific niche parts of the building, the LLMs, or is it more about application?

29:56Where are you thinking about getting excited for? So our mental model and framework really is what we describe as moving from 2D, two-dimensional AI to 3D. And that's really areas of robotics and automation and biology. but it's seeing AI for the first time coming out of the digital world into the physical. And just one example of that is really just the momentous opportunity here. Approximately 90 % of US GDP is not digitally native. It is in the physical world. It's construction. It's heavy industry. And that's$30 trillion of total US GDP. So the opportunity really exists for technology investors focused on software, data, other very specific areas that now have the opportunity to basically 10x total addressable market.

30:49Peter, you're a co-founder of this firm. Has the composition of the LPs changed from Fund 1 through to Fund 9 and where the interest in you is coming from? The earliest believer in Lux was a gentleman, Bill Conway, one of the founders of the CarLog. CarLog. And so he was Lux Ventures 1. Today, we manage$7 billion on behalf of endowments and foundations and state pensions. So obviously, going from an initial individual, albeit a quasi-institution, to now serving some of the world's most elite institutions. I'm really interested in the core competencies you're looking for. Later in the program, we have OneX, the humanoid robotics company on, right?

31:32And they're out with their own world model. But the problem right now is that NVIDIA, as was made very plain last week, basically coming out and saying, we'll do it all for you on the hardware and software side. If you're a humanoid robots company or a different physical AI offering, what's left to look for in that regard? Believe it or not, there will not just be one company that rules all others. And so there are a number of different opportunities. And even with NVIDIA, as prominent as they are, there are other up-and-comers on the silicon side, certainly on the software side, training. There are a number of different companies that are attacking, again, physical implementations of AI from physical intelligence that's here in San Francisco to Applied Intuition, which is a Lux portfolio company, which is really creating an operating system in mobility.

32:22So there is abundant opportunity. And is that global, Peter, in terms of not just the consumer base, but where these companies are getting birthed? How broad do you go? Well, OneX, not an American company. There are many global competitors in this marketplace. Even in AI right now, we're an investor in a company called Sakana AI based in Japan. We've made probably about a dozen or so investments across Europe in the last fund. So technology is global. It's broadly distributed. San Francisco remains the epicenter. But you will see it popping up, coming out of a lot of large research institutions across the globe.

33:02Fascinating. Peter Hebert, we thank you, partner, co-founder at Lux Capital, on the latest fund announcement. Coming up, we talk about our company, One X, the maker of NIO. It says its new AI model will give its home robot the ability to learn new tasks from scratch. We'll talk to the CEO. This has been their tech.

33:29We've got news for you from the world of robotics. 1x Technologies, the maker of the humanoid robot NEO, has an update for its 1x world model, an AI video model grounded in physics. According to the company, the update will make NEO capable of executing on new AI abilities with a simple text or voice prompt. That's even if the robot has zero experience of doing the task before. Joining us is 1x Technologies CEO and CTO, Bernd Bernick. Welcome back to Bloomberg Tech. Thank you. I want to keep this really simple to start. What is an example of a task that the update to the model allows for Neo to do that it couldn't have done for the first time without the update?

34:11So, I mean, to me, it's all about like things just being anything that you don't have in your data set, but still being able to have a sensible approach. So the first time I really saw this, and it was a simple question just asking the robot, hey, can you pick the post-it note down from the board and read it? But it may never have seen a post-it note before. Of course, we don't have any training data on us using robots to pick post-it notes off a board and look at it and read what's on it. But it can actually do it really well. And it's not AGI yet. There are examples where it fails. But what it does is the ability to have this very sensible approach to anything, which is the cornerstone of learning.

34:56Because now all you need is the robots teaching themselves how to do all these tasks by actually experimenting and doing this in their real world. This model, how good is it? You know, last week at CES, NVIDIA extolled the virtues of using their open models. And inside NEO, the brain of NEO, is an NVIDIA inference chip, right? So why not just use NVIDIA's model too? We have a very deep collaboration with NVIDIA, and we do use a lot of their technology in the stack. I think to us, it's very much about the embodiment. NIO has been designed really over the last decade to be as close to a human as possible.

35:38Because if you take all of the knowledge that we have in the world, like everything you can see on YouTube or any kind of video content, and you train a model on this, and now you want to pick up the cup or open the door. If your robot is actually not similar enough to a human, this doesn't work anymore because you wouldn't do the task in the same manner. And this is quite unique to OneX. I think there's a couple of things that really puts us apart. And it's that we have robots that are so close to humans in how they interact with the world, but also that they're safe. So they can actually try to do something.

36:11And if they fail, then the world is still okay. You don't want your door to be scratched because there was a robot trying to open it. And this puts us in a category where our approach to the AI is probably a bit different than what the standard is now. And also why we're so very excited about these world models where finally we see robotic scaling following the same scaling laws as, for example, video pre-training from the big video models like Sora or VO from our competitors. Ben, go in on the safety a little bit more, because you're talking about how it stops your door getting scratched. But for many, it's about, well, when robots start learning to do things themselves, therein lies the safety issue.

36:53What guardrails do you have in place? So we have some exciting work on that that will come out soon. We are doing the proper things on the safety side with respect to following the standards, helping develop some of the standards. but also ensuring that we, for example, have externally audited work of our safety work. By an independent party. By an independent third party, of course. But to me, safety has many layers. You have what we call the passive intrinsic safety, where humans are actually very safe in the sense that we have to actively work to hurt each other. We don't hurt each other by accident, usually.

37:31And this is something we build into the machine. The same kind of just you have to be soft, compliant, lightweight, low energy, so you can be safe among people and in the environment. And then, of course, you have the AI alignment, which is equally important, and how do you ensure that you can always take the safest, least risky path for whatever task you want to achieve. And this is also something that's incredibly exciting about these world models, that they understand the world so well and also how the physical world works, that you can not only ask for, how am I going to do this task, but how am I going to do this task in a manner that is as safe as possible?

38:07What are the things that could possibly go wrong? And then the model actively reasons about, hey, here are the things that I can visualize going wrong here, so I'm going to take this path here, which is the safest path. The problem being sold for, other than ultimately accelerating deployment of Neo in the real world, is the burden of real-world data gathering. A lot of focus right now on simulation and synthetic data. Just talk a little bit about that. Some of our audience is our industry. They're more technical, and they'll want to know how you did it with this particular model. Yeah, so I think really if you boil it down to the simplest parts, it is if your embodiment, if your robot is close enough to a human, then all of these learnings that we have from video, they actually transfer pretty well.

38:54And once you can do that and your robot can now approach almost any task as long as you can ask for it, your intelligence doesn't scale with the amount of data you can collect with humans anymore it actually scales with the number of robots you've deployed because now you just need enough robots actually trying to do all these things and trying to do these things are useful right so you also produce useful work but in the process the robot learns and it quickly gets better and now you just want enough robots across society and doing enough different tasks so that you get a very large data coverage.

39:28And then you're progressing very, very well on your scaling laws towards general intelligence. But it's now independent of actually having to use humans to gather the data through teleoperation. Teleoperation, exactly. Bernd Burnick, CEO and CEO of One X, it's great to have you back here on Bloomberg Tech. Thank you very much. Cara, plenty of other news headlines. Yeah, and it's time now for Talking Tech. And first up, Mometa has appointed a former top advisor to President Trump to a newly created senior management role. Dina Powell-McCormick will guide the company's AI infrastructure efforts, including securing future funding from governments and investors for massive data center projects.

40:04Plus, Meta also says it has shut down almost 550 ,000 accounts in Australia to comply with the country's new social media ban for kids. Now, the law, which came into effect last year, mandates that services like Facebook and Instagram block under 16-year-olds from having accounts or face fines of up to$33 million. And Anthropic, well, it's making a push into healthcare with tools that allow patients and doctors to access medical information on its AI chatbot. And the new offering is compliant with U.S. medical privacy regulations, allowing providers and consumers to field protected health data.

40:37Ed. OK, coming up, credit card issuers are on edge as President Trump calls for a 10 % interest rate cap on credit cards for one year. We have the details next. This is Bloomberg Tech.

40:56Walmart is partnering with Alphabet to offer AI-enhanced shopping on Google Gemini's platform, part of the retailer's race to apply the technology across its operations. From apparel and consumables to entertainment and food products, customers will be able to purchase items on Gemini's browser or mobile app in the coming months. Cara. Let's talk a bit more about the consumer and tech and payments, for example, because President Trump is pushing for a one-year cap on credit card interest rates at 10%. It's a move that could upend the credit card industry and also ripple through major buy now, pay later providers.

41:28Newberg's Paige Smith, who covers consumer finance, is right here. Look, is this going to send shockwaves and people towards alternative forms of financing if, for example, these credit cards just can't serve the broad consumer that they used to if 10 % is the cap? That's a really good question. I think we are a bit early to exactly see how consumers are responding to this because it's still early days. Just to be clear, President Trump's statement on Friday evening and then again last night was really just saying that credit card companies, essentially issuers and big banks, should be doing this.

42:04The legal levers that he can actually pull to implement such a proposal are still very unclear. We haven't seen any sort of formal proposals. So to sort of say that there would be fintech, you know, maybe fintech alternatives, sort of folks along the lines of SoFi or Affirm or Klarna actually stepping into the void is a bit premature, but although shares have sort of seemed to react and seem to be identifying some potential opportunities along those lines. Paige, the president's claim is that some credit card providers are charging 28 up to 30%, as you put it, but also that the consumer might not even realize that they're being charged interest at a rate of 30%.

42:47In our reporting and in evidence, do we know that to be true among some credit card providers? I mean, I'll speak for myself. I think it would be fair to say that it was a good reminder this morning and over the weekend to be checking interest rates on credit cards, as every consumer should be. So I think it is fair that it's not a widely known fact of exactly how much it costs consumers to be swiping, tapping, using their credit cards across the board. You do a great job at reminding us that this is still early stages and enacting any sort of proposed cap would take, I believe, an act of Congress.

43:22But push us forward to what some of the key executives have said in response to this potential move. Most definitely. A quote that stood out to me just before I came on air was I saw that the SoFi CEO, Anthony Noto, I believe the quote was giddy up in terms of the opportunities for SoFi. SoFi actually does offer a credit card to its consumers, but it's really a firm that's kind of best known for student loan refinancing and also personal loans for consumers. So that's kind of a flavor of the tone. Some executives are striking while others are maybe kind of hanging back a bit and seeing substantively what impact this could have or what opportunities it could present for their businesses.

44:06Bloomberg's Paige Smith, thank you very much. That does it for this edition of Bloomberg Tech, Caro. So much already as we kick off this week. Don't forget to check out our podcast. You can find it on the terminal. It sells online on Apple, Spotify, and iHeart. Back in San Francisco and New York, no longer in Vegas, this is Bloomberg Tech.

From the publisher

Bloomberg’s Caroline Hyde and Ed Ludlow discuss Apple’s decision to use Alphabet’s Gemini to power Siri in a multiyear deal. Plus, Nvidia plans to invest $1 billion over five years in a new lab with Eli Lilly & Co. to speed up the use of AI in the pharmaceutical industry. And, Paramount sues Warner Bros. Discovery and plans to nominate directors to the board, stepping up hostilities in its takeover efforts.

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