In short
Podcast Summary: Bloomberg Tech - AMD's Chip Deal With OpenAI Triggers Explosive Rally
Episode Overview In this episode, hosts Caroline Hyde and Ed Ludlow discuss the significant deal between AMD and OpenAI, with insights from key executives, including AMD CEO Lisa Su and OpenAI President Greg Brockman. The episode also features a conversation with David Sacks, the White House AI and Crypto Czar, about AI regulation and competition with China, as well as Meta's CMO Alex Schultz discussing the transformative impact of AI on advertising.
Key Segments
- AMD and OpenAI Partnership
- Announcement: AMD has signed a definitive agreement with OpenAI to deploy 6 gigawatts of AMD GPUs, which is expected to generate tens of billions of dollars in revenue.
- Market Reaction: AMD stock surged by 28% at one point, marking the largest increase in nine years.
- Infrastructure Focus: The partnership emphasizes the need for AI compute, with a focus on inference capabilities.
Key Quotes
- Lisa Su (AMD CEO): "This is a huge milestone for AMD and the AI industry... Compute is a foundation for all of the intelligence we can get from AI."
- Greg Brockman (OpenAI President): "The world continues to underestimate the demand for AI compute... we cannot launch new products simply because of lack of computational power."
- Financial Implications
- Share Issuance: OpenAI will receive up to 160 million shares of AMD, contingent on operational and financial milestones.
- Revenue Growth: Both companies view this deal as mutually beneficial, with expectations for revenue growth tied to the demand for AI compute.
- AI Competition and Policy
- David Sacks on AI Race: Discussion on the competitive landscape of AI, particularly the U.S.-China dynamic.
- Pro-Innovation Policies: Sacks highlights the importance of maintaining a competitive edge in AI technology and the necessity of energy resources to support AI infrastructure.
Key Quotes
- David Sacks: "We want the U.S. to win this AI race... The AI boom just keeps going and going."
- Transformative Impact on Advertising
- Alex Schultz (Meta CMO): Discusses the significant changes AI is bringing to advertising, emphasizing data utilization for personalized ads.
- Book Promotion: Schultz introduces his new book aimed at helping businesses leverage AI tools effectively.
Key Points
- Personalization and Risks: The balance between personalized advertising and data privacy is central to current marketing strategies.
- AI's Role: AI has transformed Meta's business model, driving engagement and revenue through improved ad targeting.
- Market Analysis and Future Outlook
- Investor Insights: Tony Wong from T. Rowe Price shares his thoughts on the implications of the AMD-OpenAI deal for the semiconductor market.
- NVIDIA's Position: The discussion includes NVIDIA's role in the AI space and how it compares to AMD's offerings in the context of this new partnership.
Conclusion The episode highlights a pivotal moment in the tech industry with the AMD-OpenAI partnership, emphasizing the growing demand for AI infrastructure and the competitive landscape that includes both U.S. and international players. The discussions reflect on both the opportunities and challenges posed by the evolving AI landscape, making it a critical episode for understanding the future of technology investment and development.
Key Takeaways
- AMD and OpenAI's partnership is poised to reshape AI infrastructure and generate significant revenue.
- The competition between U.S. and Chinese AI capabilities is a focal point for policymakers and industry leaders.
- AI is changing how businesses approach advertising, with a focus on personalization and data utilization.
- The semiconductor market is experiencing transformative growth, influenced by partnerships and innovations in AI technology.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Today's show is brought to you by Vanguard. To all the financial advisors listening, let's talk bonds for a minute. Capturing value and fixed income is not easy. Bond markets are massive, murky, and let's be real, lots of firms throw a couple flashy funds your way and call it a day. But not Vanguard. At Vanguard, institutional quality isn't a tagline. It's a commitment to your clients. We're talking top-grade products across the board of over 80 bond funds, actively managed by a 200-person global squad of sector specialists, analysts, and traders. These folks live and breathe fixed income. So if you're looking to give your clients consistent results year in and year out, go see the record for yourself at Vanguard.com slash audio.
0:41That's Vanguard.com slash audio. All investing is subject to risk. Vanguard Marketing Corporation Distributor. The news doesn't stop on the weekends. Context changes constantly. And 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.
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2:07Bloomberg Tech is live from coast to coast with Caroline Hyde in New York and Ed Lovellow in San Francisco. This is Bloomberg Tech. Coming up, AMD signs a historic deal with OpenAI to roll out AI infrastructure. A pact the chipmaker said could generate tens of billions in dollars of new revenue. Plus, we speak with the White House AI and crypto czar David Sachs about relations between the US and China in the context of the AI race. And Meta's CMO joins us to discuss how AI is changing the advertising landscape, what that means for small businesses. Here and now, we turn our attention to the broader markets.
2:46Bitcoin at a record high, the Nasdaq 100 at a record high. We're up six-tenths of a percent. The moon music around AI, AI infrastructure and the frenzy therein, Ed, it continues. I'm looking at the socks, up 3.5%, a new record high for the index that tracks the semiconductor industry. But what is leading a game? Of course, you know it's one key name. We look at AMD at one point hitting a record high. We are up the most on this stock in nine years. 28 % surge. At one point, it was 37 % higher. all as we hear that tens of billions are going to be added in terms of revenue because the OpenAI infrastructure pact.
3:22A sign of real confidence in Lisa Su's AI accelerator and build-out, Ed. We've got such an interesting conversation coming out about this new deal. Welcome to Bloomberg Radio and TV audiences around the world. AMD has signed a definitive agreement with OpenAI to deploy 6 gigawatts of AMD GPUs. AMD says it will equate to tens of billions of dollars in revenue. OpenAI will get up to 160 million AMD shares in tranches and set against both operational and financial milestones. The focus is inference. Let's bring in AMD CEO Lisa Su and OpenAI President Greg Brockman, both of whom join us on set here at Bloomberg Tech in San Francisco.
4:05Good morning. Good morning. It's great to see you. Good to be here. Let's frame the opportunity, Lisa. You know, the market reaction is very clear. but for AMD and the AI industry at large, what do you think this represents? Well, look, this is a huge milestone for AMD. We are so thrilled with the partnership with the OpenAI team. And it's also a huge moment for the AI industry because when you get to the right down to it, you need more AI compute. I mean, that's where we are today. Compute is a foundation for all of the intelligence we can get from AI. And we are a compute provider. We have spent years on our roadmap.
4:40We've spent years working with OpenAI and the team. And, you know, together now we're embarking on, you know, a massive build out of six gigawatts of AI compute. And it's a big deal for us, for our shareholders, for our teams, and for really, you know, the partnership and the overall AI ecosystem. Greg, I said that the top, the focus is inference. I think that's really important to be specific about what you will do with this capacity. So literally explain that part. And I'm conscious that, you know, in the first instance, the first target is one gigawatt and then eventually six gigawatts. But what will you use it for?
5:15Well, I think that the world continues to underestimate the amount of demand for AI compute. Right. That just we've seen this explosion of demand with things like chat GPT. You know, we're at 800 million weekly active users now. This product didn't even exist three years ago. And we're in a position where we cannot launch features. We cannot launch new products simply because of lack of computational power. And we see these models continuing to get exponentially better. And I think we're just heading to a world where so much of the economy is going to be lifted up and driven by progress in AI.
5:45And so we're very much heading to a world by default that I think looks like a compute desert, right? There's just not enough compute to go around. And so we're trying to build as much as possible as quickly as possible. So we're starting with one gigawatt simply because you've got to start somewhere. But honestly, we're building as fast as we possibly can and trying to bring as much computational power to bear for the economy and for the world. Lisa, this is such a big commitment to Instinct in particular. As a customer, does it make OpenAI the largest for that particular product? Well, this is certainly the largest deployment that we have announced by far.
6:20I mean, you know, six gigawatts of compute. As Greg said, we're going to start with the first gigawatt in the second half of 2026 on our new next generation MI450 chip. I think the thing to understand is these types of partnerships actually take years to really get comfortable with the idea that we're going to go all in together. And this is an all in partnership in terms of building out the AI compute that OpenAI needs for everything that they're offering to the world. So, yes, it's a huge deal. And it also says a lot about how much needs to come together for this entire ecosystem to operate.
6:57So, you know, we are setting up, you know, certainly there's a lot of engineering work, but our teams are working together on hardware, software. We're ensuring the supply chain. All of those elements are set up and ready to deliver on this massive commitment. Greg, talk us through a little bit about the players that you need to also lean on. This has been years in the making, as you say, with AMD, but what other cloud providers are involved? How are you thinking about this working with an Oracle or others out there? Yeah, we really think of this as an industry-wide effort. And in general, we think that compute is something that does require the entire supply chain to really wake up and to really start building much more than people were planning on.
7:36I think this starts from energy to try to get far more power to be built. Things like nuclear, I think, are going to be very important to come online. The cloud providers are an important part of this as well. So we're going to be deploying AMD in our own data centers. We'll be deploying them together with cloud providers. We have a deal with Oracle, lots of other cloud providers out there. You can really see that we're very much in the, we just want compute, as much compute as possible. We think this is important for the economy. We think this is important for the nation. We think this is important for humanity.
8:05And so really we're working with everyone in this whole industry in order to get as much compute power online as quickly as we can. Lisa, I'm sorry, specifics. Where is this data center going to be? Is it one single site? Is it Oracle? that will partner with you on this? Well, actually, what this really is is an announcement of what AMD and OpenAI are going to do together. OpenAI has a lot of partners in terms of where they deploy. I imagine a lot of it will be in cloud service providers. It's really up to OpenAI and Greg and Sam and the team. But the way to think about it is for this amount of compute, it's going to have to be in a lot of different places.
8:48It's a massive amount. Multiple locations. Multiple locations. I would imagine multiple providers to really get this online as fast as possible. Greg, there is a lot of focus on where OpenAI is going to get the money from to fund all of this. Sam Altman's big picture commitment is well documented, right? And the numbers, to his mind, are in the trillions. But have you specifically thought about debt financing for this relationship with AMD? have you thought about doing a specific equity raise? You are very committed across multiple projects. Yeah, look, the way that I would look at this is that AI revenue is growing faster than I think almost any product in history.
9:32And that ultimately, at the end of the day, the reason this compute power is so important, is so worthwhile for everyone to build, is because the revenue ultimately will be there. Now, as a company that is trying to move as fast as we can, we look at everything, right? We look at equity debt. We look at trying to find creative ways of financing all of this. That's been actually a huge focus of us for the past couple of years is thinking about how can we possibly build the amount of compute that is required in order to really transform this whole economy into an AI powered economy. And so I think you'll see lots of creative ideas.
10:06But fundamentally, I think at the end of the day, it is because we believe. I'm sorry to jump in and interrupt and carry just forgive me on this one. the condition of AMD issuing the stock to open AI requires you to spend money, basically, because you have to deliver that gigawatt of capacity first. Lisa, I have to ask you if you have assurances that open AI is good for it. Well, let me be clear. I mean, this deal is a win for AMD. It's a win for open AI, and it's a win for our shareholders. And that's kind of the way we put this together. I have full confidence in, you know, OpenAI, Sam, Greg, Sarah.
10:43I mean, this is a massive opportunity for us. Right now, right here, it's about who has the most compute and how fast can we get it online. And we're committing to doing this together. And the fact is, as OpenAI buys chips, that's great for AMD. Our revenue goes up, our earnings go up. You know, we expect that it will also be very, very accretive to our shareholders from day one. And as we do that, we're very happy to have OpenAI as a deep partner, and we win together. So it's like a virtuous, positive cycle in how we build out this big vision for having all this compute out there. And yet we still question, as you were just talking about, Greg, some of the other supply chain elements.
11:24You were talking about the need for nuclear, for power. What's really interesting is, are you feeling confident enough about the rest of the compute the supply chain is there? Is this going to be U.S.-manufactured from your perspective? or are you looking at also building out internationally with AMD? Yeah, we've been looking at really all options. Our preference and really the core thing that we try to do is build as much as possible in the U.S. And you can see the commitments that we've made over the past year, you know,$500 billion of investment in the U.S. And that's not stopping. We're continuing to build.
11:55I do think that international, it is also going to be important for the world to have compute. I think that compute is going to become this, like, national security strategic resource, and every country is going to need computational power. And so we are really not limiting our sort of sites in terms of where to build, but we do think it is important that the U.S. leads in this technology, leads in computational power, and we're expanding the supply chain. But you can see that we've really been working with partners across the globe in order to actually meet the demand that we expect to be coming in upcoming years.
12:25Lisa, the manufacturing of these chips, will you look to Intel at all for it, do you think, in the future? Well, as you know, the supply chain is something that we work on very, very meticulously. I think we have a very strong supply chain. We're certainly deeply partnered with TSMC across the supply chain. Just to that earlier question, we're absolutely prioritizing building in the United States because I think that's super important. This is the U.S. AI stack. We want to have as much of it in the U.S. as possible. And, you know, we continue to really look at, you know, how do we ensure that there will be a strong supply chain going forward?
13:04Greg, Sam posted on X that this deal with AMD is incremental to what's already being done with NVIDIA. But as Lisa knows, I've spent quite a lot of time looking at the MI family and the newer generations of products to come. Is there a very clear, specific benefit to using AMD technology for inference relative to the capabilities of NVIDIA? or do you just see it broadly as some sort of diversifying factor? Well, I would look at it this way, that there's a huge fixed cost to getting AI models running on any platform. And so that when we look at what's out there, that actually getting AI training to work is a huge amount of lift.
13:43That's something we've really only done the work for NVIDIA. But for inference, that that's something that's much more, that there's an easier barrier to entry there. And one thing we found is that I think that the work that Lisa and team have been doing on the MI450 series, it's looking like it's going to be a really incredible chip. I think that the way that these things work is there's niches for different balances of memory and computational power. And so as we have a diversity of workloads, we're finding that having a diversity of chips also really accelerates what we're able to do. Lisa, at the beginning of this conversation, I said there are both operational and financial milestones to be met.
14:19And Greg, explain. You've got to start somewhere. So in the first instance, one gigawatt. But would you just sort of draw out the pathway to that first gigawatt? You know, it seems like you're prepared to move quickly here. Yeah, absolutely. And maybe, Ed, if I can just build on something that Greg said. I think he's absolutely right. You know, we're a believer in there's a diversity of workloads and there will be a diversity of workloads across customers, models, use cases. And from that standpoint, you know, we feel really good about how we're positioned. We love the work here because, frankly, OpenAI is the ultimate power user of our chips and tests us in very good ways.
14:59So I think that's what gives us confidence that the technology is there. And then to your point about milestones, yes. I mean, this is clearly a case where we are tied to each other. The first gigawatt of deployment is super important. We're going to start that second half of next year, and we're going to build on from there. And it really is not just the technology, but commercial milestones, adoption milestones, and just how we proliferate the capability going forward. But I'm looking forward to building this as fast as possible. We're already working with a number of cloud service providers who are also very active on our technology.
15:36And I think this is a great catalyst to get the industry to build faster. Tied to each other is such an interesting turn of phrase. And Greg, look, you are seeing more AI users and chip makers and designers becoming more financially tied to each other. Is this going to continue? Is this the step forward for how you see this financing going forward? Well, I really see the world transitioning to this AI-powered economy. And the interesting thing is within OpenAI that we've really seen what it's like when your progress is limited and accelerated as two sides of the coin by computational power. Like teams within OpenAI that their ability to deliver really is tied to the amount of compute that they get.
16:20And I think we're heading to a world where that is how the whole economy will function. and we're starting to see it, right? That people having access to better AI tools, if you're a coder, you're able to do far more if you have access to better AI models. And we're heading to a world where if you can have 10 times as much AI power behind you, you will probably be 10 times more productive. And so I think that we're moving to a world where the whole industry is waking up to the fact that we have just not planned. We have not planned for this moment where this explosion in AI demand is happening.
16:50So it's happening all the way from the power to the silicon. And I think this whole industry has to find a way to actually rise to meet the occasion. Lisa, you have given us a look into the future before about how you see the total addressable market, the industry. Now that the ink is dry with OpenAI and Greg, are you rethinking either your bigger picture analysis of the market for AI accelerators and GPUs, or do you see AMD now having an improved position in that market, relative, of course, to your friends at NVIDIA? Well, again, I think, and I've told you before, I believe that this is a huge market.
17:29You know, we have size, just the AI accelerator TAM being, you know, over$500 billion in TAM over the next few years. I think some might say, you know, maybe I was a little conservative in that TAM analysis. But the way to think about it is there's so much need from compute. I mean, you just heard it from Greg. So, you know, this is a huge pie and you're going to see the need for, you know, more players coming into it. And, you know, from my standpoint, this is a big validation of our technology and our capability. You know, as much as we love the work with OpenAI, we're working with a lot of other customers as well.
18:05There's a lot of excitement in the industry around MI450. So we're ready for it. AMD CEO Lisa Su, OpenAI President Greg Brockman, it's been a joy having you on the show. Thank you both very much. Thank you. And coming up more on AMD and its impact on the broader tech markets, we've got a key investor for you, Tony Wong of T. Rowe Price. This is Putting Back Tech.
18:30Today's show is brought to you by Vanguard. To all the financial advisors listening, let's talk bonds for a minute. Capturing value and fixed income is not easy. Bond markets are massive, murky, and let's be real, lots of firms throw a couple flashy funds your way and call it a day. But not Vanguard. At Vanguard, institutional quality isn't a tagline. It's a commitment to your clients. We're talking top-grade products across the board of over 80 bond funds, actively managed by a 200-person global squad of sector specialists, analysts, and traders. These folks live and breathe fixed income. So if you're looking to give your clients consistent results year in and year out, go see the record for yourself at vanguard.com slash audio.
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20:20Let's stay on that AMD OpenAI story. It's impact on the broader tech markets. Tony Wong, T. Rowe Price, science and technology fund portfolio manager. You have exposure to AMD. It's added more than$70 billion in market cap on one day alone. What does this deal signal? Yeah, well, I think it's a really exciting deal here for AMD. I think it validates their roadmap and their silicon and software strategy. I think it gives them a really big lead customer to really scale. And I think that this will probably attract other customers to their roadmap and continue to build out ROKM. And I've always had this thesis that the TAM is really big.
20:59And if companies can deliver on that compute, that there's a lot of companies that can win in the overall compute TAM. So overall, very exciting. And, you know, I think it's got a good setup for the next few years for the company's runway. I mean, Lisa Su just telling us that maybe she's being conservative when she puts the AI accelerator TAM at$500 billion, Tony. I'm interested, though, at OpenAI telling us, Greg, saying that we're looking at all kinds of ways of financing this. How are you feeling about this knitting together of purchasers and creators, designers of chips? Yeah, well, I think that taking a step back over the last kind of 10 years, everybody's kind of underestimated this TAM.
21:42And I think what's exciting about AI is that there are a lot of productivity use cases here. And we're starting to see AI agents really form and then I think physical AI. So I think as long as like the end use cases are delivering a lot of value and there's promise there, I think that's what matters in terms of the ROI. And I think a lot of these kind of contracts, I mean, they are backstopped by really blue chip companies like Microsoft or Oracle. So in terms of how I'm feeling about the financing, I think it continues to be probably a good, attractive way to do as long as the use cases are intact.
22:16Tony, the mechanics of the deal are that OpenAI has the right to buy up to 160 million shares of AMD at a penny apiece. But that right contingent on the operational and financial milestones that we discussed, it is not circular financing. It's something different. But how comfortable are you with that mechanism? Well, I think it could make a lot of sense, right? I mean, it puts the two companies kind of in co-development and partnership. And I think there's shared economics. It's a win-win for both companies. I think some of the prices, the warrants are struck at a pretty high price on the AMD stock price.
22:57So I think it's good for both sides. And if they win, they win together. So to me, I think it can make sense. Does this alter AMD's position in the AI accelerator market? In other words, they're closing the gap a little with NVIDIA? Yeah, well, I think that both companies are doing really well and they're doing things a little bit differently. But I think that you're alluding to kind of the market narrative of AMD was kind of in between NVIDIA on the GPU side and then Broadcom on the custom side. I think this can help lift the narrative to go from like a second place GPU player to a co-developed partner of OpenAI on the AI compute side.
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23:42So I think it positions them well, gives them credibility, scale and additional kind of co-development R &D to improve their roadmap. So to me, it definitely is a big positive. And I don't think it's a zero sum game. I mean, I think it just further signifies the demand for AI compute. Even it's good for the country to build this much capacity because I do think the end payoffs are immense. I mean, Tony, we're at a new record high for the Nasdaq 100. At one point, AMD was at a record high. The valuations get over higher. When I'm looking at your holdings, top holding Apple, Alphabet, NVIDIA, Meta, do you feel confident that these are going to continue to gain in value with this AI story?
24:25I think there's a good long-term story behind all our holdings. and I think a lot of them are beneficiaries of AI. They're strong companies that are great platforms. And as a result, I think that we are entering this inflection and AI driving a ton of productivity. You think about output being productivity and labor. I think productivity is going up and labor is going to be relatively uncapped, I think, as a limiting factor. So to me, I think it's exciting. It's never been a better time to be a tech investor, I think. There's just so much change and dynamism. So I'm excited for the multi-year here.
25:05Tony, if you'll humor me, please. My column today was about all of the debt deals that are underpinning the AI infrastructure build out that we're seeing. You know, everyone seems to have a different comfort level with that as well. How sanguine are you about the role of debt in what we're seeing? Yeah, I think that the key signal here is what is this AI capacity, this AI infrastructure capacity worth, and what's the useful life? I think a few years ago we were debating is the useful life of a GPU data center three or four years, and I think that was just too short. You look at a lot of the GPUs from seven, eight years ago, they're still being fully utilized.
25:47because the AI workloads continue to evolve. And then when you fully depreciate these assets, like they're at a price point that can make sense for other LLMs to be running on them. And so I think that, you know, the useful life of these GPUs are definitely more than four or five years. And, you know, there's just more and more use cases. You think about robotics, like, you know, diagnostics, simulation. There's just a ton more than we thought there were three years ago. And I think that's what will keep the utilization high of these data centers. As long as that, you know, continues, I think it makes a lot of sense.
26:23Tony, I'm going to pivot another part of your portfolio. Verizon change at the top, Hans Versberg handing over the reins to Dan Schulman. How do you feel about it? Can you comment on that question? With Verizon, we are seeing executive changes at the top on certain companies. How do you feel, for example, of Verizon seeing Hans Versberg changing over the reins today? Yeah, actually, we don't own Verizon, so I probably, that's a little bit outside of my wheelhouse to comment.
26:53Tony Wong of T. Rowe Price, we're trying to get you on all the news of the day, but we really appreciate the insight into the AMD OpenAI deal. Thank you very much. Carrie. Time now for Talking Tech. First up, Apple, Ed, is facing an investigation in France over the storing of voice recordings made by its Siri assistant. Probe is related to claims that subcontractors and had access to sensitive recordings. The iPhone maker says it uses Siri interactions to improve services and only stores them in users opt in. Apple declined to comment on the investigation. Plus, Foxconn reported sales growth of 11 percent in the third quarter and projected further sales growth this quarter.
27:28The gains by NVIDIA partner, officially named Honhai, signals that demand for AI chips and servers remain strong. And Tesla shares jumped after the company posted cryptic videos teasing a possible product unveil. Tesla's last addition to its product lineup was a Cybertruck two years ago. Executives have said an affordable Model Y is on the works.
27:54Welcome back to Bloomberg Tech. We check in on these markets. New record highs. October, apparently, is how it's been coined, certainly for looking at the crypto world. Bitcoin, 125 ,230, up 2%. We had a risk-on rally throughout the weekend. That risk-on rally continues into Monday with the Nasdaq 100 up 0.7%, and you know why. There is a key player at the moment that is helping us push up and to the right. It is AMD up 26%, at one point hitting a record high, up the most in nine years. Extraordinary new deal soaring after, of course, it's doing this deal with OpenAI for AI infrastructure that could generate tens of billions of dollars in new revenue.
28:30Ed, we had a great conversation with Lisa Su and Greg Bultman a moment ago. Another great conversation coming up. Yeah, really looking forward to this one. Joining us now is the White House AI and crypto czar, David Sachs. He is also the co-founder and partner of Craft Ventures, of course, as well. David, there is something that I've wanted to talk to you about for a long time, and we will get to it, the debate around should the United States or should the United States not export some form of AI chip to China, and we will get to it. But I'm sure you can appreciate, you know, the AMD and OpenAI agreement is very interesting.
29:03And so as a place to start, could I just ask your sort of interpretation of what it signals when you have a U.S. chipmaker like AMD after NVIDIA and one of the frontier model shops like OpenAI working so closely together on infrastructure? Well, and I think the main thing here is is there's an AI boom going on. And the market is highly competitive. We have a number of leading model companies. We have a number of leading chip companies. And they're all competing with each other. And they're all booming. And what we see here is that this AI boom just keeps going and going and keeps driving businesses to new highs.
29:40And this is all a result of President Trump's pro-innovation, pro-export, pro-AI policy. We saw this help drive US GDP to a 3.8 % growth rate in the second quarter. So I think this boom just seems like it's going to keep going and going. And we just heard, I think it's Jensen Wang was the latest on a podcast, shouting you out, shouting out those that are in the team at the White House at the moment, guiding when it comes to technology, David. But I'm interested as to whether you as an investor have great comfort in these relationships, being built financial relationships between chip designers and the chip users?
30:16Well, I think it's up to them. You know, I don't really take sides in these deals. We want all of our American AI companies to be successful, and they're all competing with each other and cooperating with each other. I guess it's called coopetition. And that's a great thing to see. We just want, you know, putting my AI hat on, we just want these markets to be competitive, and we want American companies to be successful. And that's what's happening right now. I'm looking, therefore, at the future rollout, the buildout. Anything that gives you pause in terms of actually the infrastructure needs here at the moment, David?
30:49well anytime you're working in the world of atoms it's going to be more complicated than when you're working in the world of bits and so it's very important for us to scale up the amount of power that's available to ai companies and you're seeing that thanks to president trump's policies that are pro-energy the president uh you know backed the idea of drill baby drill going back many years i think he was very farsighted in this regard he understood that energy is a basis for everything It's certainly the basis for this AI boom. And we're in the process of allowing a lot more power generation in the U.S.
31:22President Trump is allowing so-called behind-the-meter power generation. In other words, these AI companies can stand up their own power generation. We need to squeeze more out of the grid. And we're enabling new oil and gas and nuclear, so all of the above. So I think that energy is the main thing, and President Trump is supporting that. David, final question on AMD. and OpenAI. Did the parties consult the White House about moving forward with this arrangement and their plan to work together? No, no. I mean, not with me and I wouldn't expect them to. We just don't get involved in the deal making between private companies.
31:59Again, we're here to create a policy environment that is supportive for all of our AI companies. I appreciate that. Okay, so David, I asked you to come on the program because we spoke at the end of last week for a story that was done out of D.C. on the idea of, well, what is a China hawk? But also within that broad description, should the United States or should the United States not export deprecated AI chips to China? You've been very generous with your time. But I just invite you again for our Bloomberg Tech audience, explain how you view yourself in this debate and what you think is strategically most important for this country?
32:41Well, first of all, I would say that I consider myself to be a China hawk. I want the U.S. to win this AI race. We understand that China is our main competition globally in this AI race, and we want to do everything we can to win. And President Trump, in his AI speech on July 23rd, laid out some of the tent poles of that strategy. We need to be pro-innovation, we need to be pro-infrastructure and pro-energy, and we need to be pro-export so that the American technology stack dominates the world. So this is all in the service of the United States winning this AI race. We understand that it's going to have major economic and national security ramifications, and we're in it to win it.
33:21There is a lot of focus on the direct to China part, but the other way that some look at it is there is a marketplace outside of America and outside of China, the Middle East being an example. What's your position on that and whether the United States wants to kind of leave the world open to China to sell its own technology? Well, there was a view in the previous administration that we shouldn't sell chips to many countries, including the resource-rich Gulf states. And I think that was a major mistake, because every time you tell a country that they can't buy the American tech stack, what's their reaction going to be?
33:58They're going to turn to China and adopt the Chinese tech stack. I have a very simple metric for measuring whether we're winning the AI race which is global market share If we look around the world and say five years and we see that the American technology stack as has say 80 % market share That means that we won but if we look around the world in five years and we see that the Chinese technology stack And I'm talking about Huawei chips and deep seek models for example has an 80 % market share then obviously we lost by the way that's what happened in 5G. We don't want a repeat of that. So again, the strategy here should be for the U.S.
34:33to dominate the world and have the greatest market share. And I think this is pretty obvious to everyone in Silicon Valley because we understand that the way to win technology races is to have the biggest ecosystem. If you're a technology platform, you want to have the most developers using your API. If you're an app store, you want to have the most apps in your app store. In a similar way, we want as many users on the American technology stack as possible. And I find it hard to understand why the previous administration would exclude these rich countries from participating on our tech stack. It certainly didn't help us in the race with China.
35:10If anything, President Trump's policy boxes out China from the Middle East, whereas the previous administration's policy forced these countries into China's arms. You've reworked, therefore, the diffusion ideals set by the previous administration. But when you're allowing only less powerful chips, I mean, I think the president even called them obsolete versions of NVIDIA's chips into China. Does that mean that ship of innovation in China has already sailed because they need to have the most sophisticated? They're going to have to build it themselves. Well, I think when you're talking about what we export to China, that's obviously going to be a very complicated question.
35:48and there's arguments on both sides. I think there's a pretty strong argument for not selling China our latest and greatest chips because that would be too beneficial for them. However, if you don't sell them anything, then like you're saying, that will accelerate their desire to be independent of the American stack. And so I do think there is a compelling argument for selling them a, let's call it deprecated American chip or it's a less great American chip. And by the way, this is why the Biden administration approved the H20 in unlimited quantities for export to China. Now, when President Trump came in, he said that those H20 sales have to be licensed and they're subject to a 15 percent surcharge.
36:32And nonetheless, all the people who approved the Biden policy started attacking President Trump. I think this is a classic case of no one had a problem with it until President Trump agreed to do it. David, Jensen Wong went on Brad Gerstner's podcast and there was a reaction to what he said you would point out you are an official of the government Jensen is a private citizen and CEO but at the root of what he was saying was also the idea of talent many talented computer scientists and engineers come from China I think that was the point he was making but the personnel part of this story where do you stand on that?
37:09Well, it's true that something like half the world's AI researchers are from China. And so I do think that we have to somehow be open to working with this talent or allowing this talent to use the American chip stack to some degree. So it's a complicated question always of what you allow China to do. But I think Jensen was making a point there about, again, the talent pipeline, and we have to be open to it to some degree. Again, I consider myself to be a China Hawk, but I wasn't triggered by what Jensen said because I watched the entire two-hour podcast Not just the 30-second clip and I understood what he was trying to say in context and it is a nuanced question And look, let me just say to all these people who are criticizing Jensen What have you done to help us win the AI race?
37:52I can't think of a more strategic asset in the AI race than NVIDIA and Jensen himself who for 30 years have been working on these GPUs and Jensen is a source of huge American advantage in this AI race. So let's show him a little bit of grace here. Context is everything. We appreciate you talking about the complicated as well. White House AI and crypto czar David Sachs, great to have you with us. Now coming up, Meta's chief marketing officer, Alex Schultz, discusses how AI is changing the advertising landscape. He joins us next as the Bloomberg Tech.
38:29A new book is out. Click here. The art and science of digital marketing and advertising. It's by Alex Schultz. And he says that AI is going to be a game changing for advertisers, if used correctly. Schultz, the chief marketing officer, of course, a meta knows a thing or two about direct advertising and directing it. You also understand entirely the analytics and the raw data behind all of this. Alex, welcome to the show. I'm so interested in how you have seen the unfolding over the last decade or two Incremental growth is something that you talk about so much having direct impact with direct targeted ads in many ways But then you've got to think of how a company is got long-term vision a North Star as you put it How are companies small and large managing to balance this right now?
39:10Yeah, thank you for having me This is awesome to be here I mean look incremental growth is about being incremental to what would have happened without you doing your actions You need to be incremental to what would have happened. You need to see what the lift is of your work. That fits totally with thinking long term and what is your North Star? What is the goal you want to achieve? That is absolutely a question of like, I have a goal. How do I incrementally lift that goal? Your North Star was writing this book in many ways, as well as the day-to-day in which you're understanding the analytics underneath, what's happening in terms of marketing for meta and the growth story.
39:43Why did you put this out here into the world? I mean, my north star for the book is to be useful. Like, I want small businesses and large businesses to be able to actually be better at using the tools. Like, you go back, Ogilvy on Advertising, 1985, Bible, absolutely incredible book. But there are new channels that have evolved since then. Digital marketing is 75 % of the global advertising industry. There's no book for that. I kept being asked for a book for that. So I wanted to produce a useful book to help people be good at that. Alex, in the back part of the book on AI and its impact on marketing, You talk about an audience of one, the idea that the AI can make the ad so targeted to the individual.
40:21What are the risks with that? You're clearly needing a lot of data about that person to make that audience of one relevant ad. Yeah, I mean, from my perspective, there are clear now we've reached the point where there are clear laws out there. There are clear platform policies out there about purpose use limitation of data. And so it's very clear what you can use the data for. And people like personalized ads. so people have control over what data you can get. Young people really understand how to manage their algorithm. And they love the personalized ads that they get where there's something relevant that's actually useful for them.
40:52So I think the balance is actually in a way better place than it was, say, 10 years ago in terms of people's understanding of these things. So I think the risks are much, much lower. And I think the biggest risk is not taking advantage of it. You look where Europe is. You look at how they regret the current regulations. You look at the Draghi report. They are regretting the lack of growth they have versus the growth the U.S. has. And I think one big part of that is they've hurt advertising. The big picture with Meta has been that all of the work in AI has paid off for like the bread and butter core business.
41:22Can you give us any sort of insight into how much more valuable an AI powered ad is? What the conversion on it is relative to traditional advertising? How it drives growth on the top line? Yeah, I mean, you can step back completely. Our business has been completely transformed by AI. When TikTok came along like five years ago, everything that you were looking at on Facebook and Instagram was connected content. You joined, you liked, you friended, you followed. Today, the majority of Instagram and Facebook are unconnected content. And you can see in our earnings results what the impact of AI allowing you to rank content based on semantic understanding of content and semantic understanding of the individual does for engagement.
42:04and then you see it too on the ads in terms of the revenue that's coming through and the results we're providing for advertisers. So it's very high double-digit percentage uplifts if you adopt things like Advantage Plus shopping campaigns, make sure you feed the data through with Cappy and do the basics right, which I describe in this book, both with meta but also using anyone else's tools. What about human creativity at this moment? Yeah, one of my struggles is creativity is always about pixels. And look, I love my creative team. They're incredible. We closed Fifth Avenue. We had Lewis Hamilton do donuts on Fifth Avenue.
42:37It was amazing. Things were great, and it really, really worked. But there's a ton of creativity with data. There's a ton of creativity with targeting. There's a ton of creativity with conversion rate optimization and flow optimization. And what I get at in this book is creativity in the factors where it isn't David Ogilvie saying, stick a car to a billboard with superglue to sell superglue. It's creativity in how you use data to give people amazing personalized experiences and high conversion rate flows. Alex Schultz, Chief Marketing Officer for Meta. Thank you very much. And tune in to Bloomberg Screen Time on Thursday for a deep dive on the creator economy with the head of Meta's Instagram, Adam Masseri.
43:15That's one we're really looking forward to. Okay, coming up, we're going to get back to the deal between AMD and OpenAI and what that means for concerns around circular financing, the build out of AI infrastructure, and everything else. This is Bloomberg Tech.
43:32I'm Barry Ritholtz, inviting you to join me for the Masters in Business podcast. Every week, we bring you fascinating conversations with the people who shape markets, investing, and business. CEOs, fund managers, billionaires, Nobel laureates, traders, analysts, economists, everybody that affects what's going on in the market, whether you own stocks, bonds, real estate modelies, crypto, you really need to hear these conversations. Sometimes it's behaviorists like Dick Thaler or Bob Schiller. Sometimes it's fund managers like Peter Lynch, Bill Miller, Ray Dalio. Sometimes it's authors, Michael Lewis, author of The Big Short and Moneyball.
44:17Regardless of the conversation, these are the folks that move markets each week. That's the Masters in Business podcast with me, Barry Ritholtz. Listen on Apple, Spotify, or wherever you get your podcasts.
44:39We're going to get back to OpenAI and AMD. The deal pushing broader markets higher, certainly pushing AMD higher. Joining us, Ipek Oshkadeskaya is with us, Swiss Quote Senior Market Analyst. Ipek, these ongoing deals between chip designers and ultimately those that are purchasing the GPUs, what do you make of it? Well, actually, it's very amazing news, especially for those who are questioning the circular nature of the business and the deals that are being announced right now. But in fina, when we look at the AMD and OpenAI deal today, OpenAI is out striking deals with data centers and chip makers from inside the US and outside the US in order to stay ahead of the game and make sure that they are not constrained by capacity constraints.
45:22So that basically means that this company today is more worried about not having enough supply for the huge demand than the contrary. And that's outright positive for the AI bulls and the sentiment here. And for AMD, there is nothing else to say. This is a jackpot. Their moment looks like it has come. Yeah, certainly biggest move in nine years, EPEC. What's interesting is NVIDIA did sink, pull back a little bit after it had risen higher on the hopes that Honhai and the server demand was clearly there. But then we question market share. I mean, is there anything that gives you any anxiety about NVIDIA's dominance?
45:52No, absolutely not. And that's due to the context, as you always say. Context is everything. The sequence in which we are receiving the information has been very insightful in what's coming. Actually, NVIDIA announced last week that they would be investing up to 100 billion US dollars in OpenAI. That is announcing today that they will be taking a 10 % stake in AMD. So there is a circularity there that suggests that NVIDIA chips are not going to replace in the context of this OpenAI deal, but rather complement it. Now, beyond this deal, this could give some leverage to AMD, but it looks like the companies are considering today that the AI pie is big enough to feed everyone grandly.
46:33Ipek, for public market investors, is OpenAI, the private company, becoming some kind of macro level factor that they have to model in? Well, absolutely. I mean, they are so huge now. They are the biggest startup in the world. They are worth 500 billion U.S. dollars. And they do have these huge deals with publicly traded companies. And those are the market moving deals of market moving stocks. We are talking about Nvidia's. We are talking about AMD's. So definitely OpenAI is pretty much the center of this AI revolution. It has been the starting point and it's gaining importance every single day.
47:16And with each deal that they announced, they are actually securing their position at the center of this game. Should we be asking more questions about how OpenAI is going to pay for all of this then? Well, yes. I mean, Sam Altman recently said that they will be looking at some funding possibilities that he didn't give details about. But one of the questions here is that AI is actually a very capital intensive play. So this company needs funding. Now, NVIDIA coming to the rescue could open the way for other companies also looking to help OpenAI and take a stake in this company that has not yet gone public.
47:57So I think that OpenAI, if anything, is not going to be having any funding problems at this stage of the game because they are dominating the AI business right now. And even though it's a private company, it does have all the funding that it needs, I think, from private and public investors are just eager to take part of this company, actually. The growth story is so clear in terms of revenue. But when you compare$13 billion in revenue per year and then you're thinking the trillions of dollars it has to spend, what gives you comfort that that revenue will match the amount that ultimately needs to be financed on it?
48:36Well, it's definitely the reach that they have. We have seen over the past three years, other companies like Meta or Chinese companies aside, but many companies right now, Perplexity, Meta, we have X, for example, with Grok and other models that are trying to compete OpenAI. And so far, they have not been successful in meeting the level of enthusiasm that OpenAI had so far. So OpenAI is actually surfing. It has been the first to come in. And it still has this popularity and its leverage of being the first comer. So I think that they do have a very good leverage in expanding their business and making more revenue in the future.
49:18They just need to play the game right. They just need to find the right partners. And that's exactly what they are doing right now. Ipek Oskar Deskaya, or Swiss quote, great to have you back on the program. Appreciate it a lot. And what a program it was. That does it for this edition of Bloomberg Tech, Caro. Tune in later today. We have more news due to come from OpenAI. We're going to speak with the COO, Brad Lightcap, on the sidelines of OpenAI's Developer Day. Gosh, a lot going on. Can't stop, won't stop, Ed. You do it for us. We so appreciate it. Meanwhile, check out our podcast, why don't you?
49:50There are so many conversations you've got to dial back in. Get into Lisa Su, get into Greg Brotman, get into David Sachs, and of course, Alex Schultz of Metra as well. All online. This is Bloomberg Tech.
50:22all over global business, finance, tech news, all as it is happening in real time. And we've got complete coverage of the US market close. Gotta say, basically, if it impacts financial markets, if it impacts companies, if it's impacting trends and narratives that are out there, we are on it. We also have a lot of fun doing it. Bloomberg Business Week also brings you the analysis behind the headlines through conversations with our expert guests. And we are doing this all live each weekday. And then we bring you the best analysis in our daily podcast. Search for Bloomberg Business Week on YouTube, Apple, Spotify, or anywhere else you listen.
50:53Check it out on your way home from work to catch up on the conversations that you miss during the business day. And on the weekend, check it out for a complete wrap-up of your business week. That's the Bloomberg Business Week Daily Podcast. I'm Carol Masser. And I'm Tim Stanovic. Subscribe today wherever you get your podcasts.
From the publisher
AMD CEO Lisa Su and OpenAI President Greg Brockman join Bloomberg Tech to weigh in on the two companies' deal to roll out AI infrastructure, a pact the chipmaker said could generate tens of billions of dollars in new revenue. Plus, White House AI and Crypto Czar David Sacks defends the Trump administration’s approach to China in the context of the global AI race, and Meta CMO Alex Schultz has a new book on how AI is changing the advertising landscape.
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