In short
The episode focuses on AI-driven demand reshaping semiconductors and data centers, anchored by Qualcomm’s forecast and Micron’s earnings. Qualcomm CEO Cristiano Amon says the company is targeting what data centers will need “tomorrow,” not what they do today; Qualcomm is moving into data-center AI with CPU and inference accelerators that are expected to come online in 2028, with custom AI chips still not available. Guest Romain Bostic and Bloomberg Tech host Ed Ludlow discuss that NVIDIA dominates (Bloomberg calls it a technical monopoly >70% share), AMD is also active, while Qualcomm’s chips are 2–3 years behind competitors but aim for efficiency “per token” and “per kilowatt.” Qualcomm projects over $15B in data center/AI sales by fiscal 2029. Micron guest Mandeep Singh (Bloomberg Intelligence) says Micron’s fiscal Q4 sales were $51B vs Street expectations ~$43B, driven by tight supply, pricing power, and data-center/high-bandwidth memory. He cites 100B in take-or-pay contracts with 16 customers and high margins (85% gross, 81% operating), arguing supply constraints likely persist through 2028. He warns NVIDIA’s valuation reflects margin limits as memory costs rise and competition increases (e.g., Broadcom chip work). Notable examples include NVIDIA, AMD, Intel/Broadcom/Google/Amazon, Apple price hikes due to memory shortages, and the “coding agent” use-case risk if CapEx slows.
Guests
Ed Ludlow (Bloomberg Tech host), Cristiano Amon (Qualcomm CEO, quoted), Romain Bostic (Bloomberg Tech guest), and Mandeep Singh (Bloomberg Intelligence global head of technology research).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOBloomberg Business Week Introduction
0:30 to 1:00
Overview of the Bloomberg Business Week Daily podcast and its focus.
“When you own your own business, you own every decision.”
Bloomberg Business Week Introduction
1:46 to 2:16
Overview of the Bloomberg Business Week Daily podcast and its focus.
“reporting from the magazine that helps global leaders stay ahead with insight on the people, companies, and trends shaping today's complex economy.”
Qualcomm's Market Position and Future
2:16 to 2:52
Discussion on Qualcomm's entry into data centers and market challenges.
“that I gave when we entered the automotive business, when we entered the industrial business, and everything that we have been doing to diversify the company.”
Qualcomm and Industry Competitors
3:02 to 4:00
Analysis of Qualcomm's competitive landscape in the processor market.
“Do you want to point out Qualcomm shares are up about 7 percent?”
Micron's Impact and Industry Dynamics
4:09 to 5:13
Examination of Micron's recent performance and its implications for the industry.
“Qualcomm's chips are two or three years away.”
Insights on Stock Performance and Market Trends
5:26 to 7:05
Discussion on stock performance and future trends in the tech sector.
“It was a thing that leading up to yesterday's results after the closing bell, every market guest that we had on said this is gonna be really important.”
Interview with Mark Pincus
8:46 to 10:48
Interview discussing Mark Pincus's career, new book, and insights on tech markets.
“Catch us live weekday afternoons from 2 to 5 Eastern.”
The Future of Startups and AI Integration
11:09 to 14:00
Exploration of how AI is transforming the landscape for startups and investments.
“Well, we'll know in the future, but it'll be, it's only cyclical if this, if these AI growth rates and numbers don't play out.”
The Evolving Landscape of Startups
14:00 to 15:59
Explore how startup capital requirements have changed over time.
“And then when we see like Micron's numbers and guidance, all of a sudden everyone's bullish again.”
Life at the Speed of Play
16:00 to 18:04
Discuss the concept of living life at the speed of innovation.
“I mean, he, the way he talked about his experience of coming in to Twitter, um, and how insane the company was, was just, was just really funny.”
Show all 26 chapters
Instincts vs. Ideas in Entrepreneurship
18:05 to 19:16
Learn about the importance of instincts and actionable ideas for founders.
“There should be a boring tunneling company.”
The Uber Example: Timing and Execution
19:17 to 20:39
Analyzing why some ideas succeed while others don't through the lens of Uber.
“So the point of the book is I like to think that this book is like a cheat code that you can, whatever it is you're doing, you can change your odds of success and getting to a hit.”
AI's Impact on Product Development
20:40 to 22:36
Understand how AI is transforming product cycles and development speed.
“But Mark Pincus, who was in Silicon Valley in 2002, wasn't able to do it.”
Rethinking the MVP Concept
22:37 to 23:46
Challenge traditional MVP notions and discuss faster prototyping strategies.
“Like you bring in, you know, you know, experts or consultants and they're like, don't micromanage your people.”
Balancing Confidence and Honesty as a Leader
23:47 to 26:10
Explore the challenges leaders face in maintaining team morale vs. honesty.
“Well, that chapter you can say was the MVP trap.”
Measuring Product Success and Retention
26:11 to 28:00
Discover metrics that define long-term product success and user engagement.
“that just said, this product isn't quite right or it's finally part built and you're like, I'm just not that into it.”
Reflections on Facebook's Early Days
28:00 to 30:08
Discussion on the factors that contributed to the success of Facebook compared to other social networks.
“It may not be the case, but it's highly, highly correlated.”
OpenAI's IPO and Investment Insights
30:08 to 30:51
Insights into OpenAI's potential IPO and its implications for investors and the market.
“It's coming from the New York Times about how open AI is leaning toward waiting until next year for its IPO.”
The Future of AI and Its Impact on Jobs
30:51 to 33:59
Exploration of how AI technologies are transforming the job market and the nature of work.
“I'd say, on the one hand, I'm not sure how much the timing matters other than if it changes their access to capital.”
The Book of Life Framework
33:59 to 35:50
Discussion of the framework for decision-making presented in Mark's new book and its application to personal choices.
“But you also have to have knowledge to ask a smart question.”
Political Stance and Intellectual Honesty
35:50 to 39:29
Mark discusses his unexpected political stance and the importance of being honest about beliefs.
“It's definitely not something I signed up for in my book of life.”
Political Stance and Intellectual Honesty
42:03 to 42:29
Mark discusses his unexpected political stance and the importance of being honest about beliefs.
“Make every journey more rewarding with a$300 annual travel credit and access to a network of airport lounges, whether you're looking for pre-flight productivity or time to rest and recharge.”
Micron's Market Impact
43:38 to 45:58
Analysis of Micron's stock performance and its implications for the semiconductor cycle.
“this is the most important publicly traded company out there.”
NVIDIA's Challenges and Stock Reactions
46:00 to 48:29
Discussion on NVIDIA's stock performance and challenges in the semiconductor market.
“Are you surprised by the stock reaction?”
Apple's Pricing Strategies and Market Reactions
48:30 to 49:46
Exploration of Apple’s pricing strategies and their impact on stock reactions.
“Does this show, or why are investors reacting this way?”
Future of Pricing in the Semiconductor Space
49:59 to 51:10
Insights on the future of pricing dynamics in the semiconductor industry.
“Mandeep, these higher prices, do they continue for a lot longer?”
Transcript
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1:45Bloomberg Audio Studios. Podcasts. Radio. News. This is Bloomberg Business Week Daily. reporting from the magazine that helps global leaders stay ahead with insight on the people, companies, and trends shaping today's complex economy. Plus, global business, finance, and tech news as it happens. The Bloomberg Businessweek Daily Podcast with Carol Masser and Tim Stenebeck on Bloomberg Radio. This is a different conversation. It's a different data center right now. This is about AI. But it's a valid question, right? So I will give you the same answer. that I gave when we entered the automotive business, when we entered the industrial business, and everything that we have been doing to diversify the company.
2:33Those are fast-moving markets now changing with technology. So where we really focus is not what the data center is doing today, but what the data center is going to be doing tomorrow. The data center is now moving to a Gentec. That's why you see CPU companies on the rise. You see demand on the rise. Good stuff there. Christiano Amon, Qualcomm CEO there with Romain Bostic and, of course, the host of Bloomberg Tech, Ed Ludlow, who kindly is joining us right now from our bureau in San Francisco. Do you want to point out Qualcomm shares are up about 7 percent? They're off their highs of the session.
3:06Micron, we're going to get to that, too. It's up about 17 and a half percent. I think it's at an all time high as we speak. Whoa, Ed Ludlow, where do we begin? Talk to us. Yeah, it's quite a lot. What do you think? Let's talk about Qualcomm. We just heard a snippet of the CEO. So let's do that for you. Yeah, credit where credit's due, right? You know, Qualcomm is the world's biggest provider of smartphone processors, a market that is not doing great right now. And they have made this entry into data centers. And what you heard from Cristiano among there was the answer to the question, didn't you already give up on data centers?
3:40And secondly, if you look at what they announced, Wall Street's clearly cheering what they've said about the future financial opportunity. But they're a little bit late to the game because these CPUs come online in 2028. Their accelerators, their custom AI chips for running inference workloads aren't here yet. And the problem is they're in this environment where NVIDIA absolutely dominates the market and whatever's left AMD comes up and gets the rest. But both of those companies have a new chip every single year. Qualcomm's chips are two or three years away. But, you know, he was honest about that.
4:16Like the market opportunity is absolutely ginormous. And they are very confident they're going after a very specific bit of it because their chips are nothing to be sniffed at. They're like highly performing, very efficient chips on a dollar per token basis or a dollar per kilowatt basis. Ed, you mentioned AMD. You mentioned NVIDIA. What about Intel, Broadcom, Google, Amazon? Can we throw Cerebris in there? Yeah, you absolutely can. I mean, the field is becoming more crowded in terms of the number of players. But based on current data, which you can say is just simply sales or its deployments, NVIDIA has a technical monopoly, which at Bloomberg, we believe a technical monopoly is more than 70 % of a market.
5:00So, you know, the opportunities there and clearly based on the share performance and also like what they said, right? You know, like they're going to do$5 billion of data center sales next year, fiscal or calendar 27. and that will go up to 15 by 2029. That shows progress for a company that has historically not been in that market. All right, so Micron? Yeah. Let's talk Micron. It was a thing that leading up to yesterday's results after the closing bell, every market guest that we had on said this is gonna be really important. So what was so important about the results that has this stock, I think, at an all-time high as we speak?
5:41yeah it's not about beating the expectations of the street micron reset the expectations of the entire industry and by the way guys i felt you both did a really excellent job to try and get the story from the earnings statement because that's all you had to go on at the time it was that supply was tight and it's going to be tight for a long time and clearly higher prices is what moved the needle for micron not necessarily selling more units and like that's exactly how the call played out. So the big wow number was that in the fiscal fourth quarter of the current period, Micron saw$51 billion of sales.
6:17And it highly relates to data center and high bandwidth memory. And the street was seeing maybe 43. But the bigger picture is like, that's the best position for Micron to be in, where there's very tight supply, they have pricing power, and everyone wants the thing you're selling. Compare and contrast, it's not good for the companies who are in the market that are trying to get hold of those chips. I just want to know, I'm leaving 731 because I love the praise. I feel like I've done it. When Ed Ludlow says we did a great job on a complicated company like Micron, I'm done. I thought we were going to talk about soccer, but that's okay.
6:50I'm good. I'm good. Love you. Love you. As always. And you also helping us always make sense of all of these reports. Ed Ludlow, thank you so much. Be well. Ed Ludlow, he's the host of Bloomberg Tech. Check it out on Bloomberg TV, 11 a.m. to noon, Monday through Friday. Stay with us. more from Bloomberg Business Week Daily coming up after this.
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9:00And it takes us to someone who's been innovating and disrupting as well and remembers all too well the boom and bust and changing landscape of the dot-com era. He's best known as the founder and CEO of Zynga, the social games company that IPO'd in 2011. But he's built and invested in so much more. And through every iteration of the internet, the 90s boom and bust, the social media boom of Web 2.0, and now the AI era. Carol, he's also a prolific investor. He is indeed. He's invested. You'll know these names, folks. Napster, SpaceX. and had he held on to his shares, his$38 ,000 seed investment in Facebook, now Meta, for about half a percentage of the company would be worth many, many billions of dollars right now.
9:38Smart investment, I would say. We're talking about Mark Pincus. He's got a new book out, and we know all this, thanks to the new book. It's called Life at the Speed of Play, Launch Products People Love. Mark Pincus joins us here in the Bloomberg Interactive Brokers Studio. Welcome, welcome. How are you? Congrats on the book. Thanks, thanks. By the way, I really am happy about the memory stocks. Well, why? Well, we're diving right into the AI trade. We are. Let's not mess around. I'd say that it's a pretty simple trade at this point. It's a belief. And either you believe that the AI infrastructure investment is going to pay off and keep playing out, in which case all of these companies are generationally undervalued.
10:28It's a generational buying opportunity if you're getting a peg ratio of 0.3 or less. Or you think that it's not going to play out and then you should stay away from all of it. I'm a believer. You are. It's funny because we just spoke with Ted Oakley. He manages money for Oxbow Advisors. He sent us a bunch of stocks and missing from there were tech names and memory names. He does own some tech, but he said, the memory got too expensive. And he said, I've been doing this for decades, many decades. I remember the 1990s. We sold Intel and I watched Intel stock go up for the next 12 months before then it went down.
11:03So he understands these cycles. Are we in one of those cyclical moments right now? Well, we'll know in the future, but it'll be, it's only cyclical if this, if these AI growth rates and numbers don't play out. If they play out, I think he would even agree that they're still undervalued. You know, Mark, one of the things that we're thinking, and we want to get into the book and talk about, you know, life at the speed of play and what it all means, but we are curious. You have been in Silicon Valley for all of the iterations of the internet. I'm that old. No, no. Seasoned, like a great wine. Like that's how I think it.
11:41Love talking with people who have seen cycles, right? And can sometimes figure out the silly from the stuff that really matters. How do you, like, how do we make sense? Like we see the money going in. We see the circular financing that makes us a little uncomfortable. We see the narrative around AI changing. I get it. Disruption. This is what happens. But help us understand, like, is this a boom cycle with no bust? Or is there going to be a breaking point at some point? Or for only maybe for some? If I had the perfect answer, I'd... You wouldn't be talking to us. Yeah. I would have held my meta stop too.
12:21You did okay. You did okay. How do you think about having seen some of this? I built a boring enterprise software company in the middle of the dot-com boom. It was called support.com, but it was actually an early SaaS company. We went public on the last day of the IPO window. So I'd say that then versus now, my peers and I thought it didn't make any sense during the dot-com bubble. We thought it was crazy what we saw going on around us. And now my peers, my smartest friends, think this makes a lot of sense. I mean, it was dark fiber then, and now it's like hot GPUs. I mean, it's actually being used.
13:08It was betting on a whole consumer that didn't show up or didn't show up yet. And now the investment, the infrastructure is going to enterprises who are bottom line oriented. And, you know, then it was eyeballs and now it's ARR, you know, it's actual revenue. So it's definitely not the same. I think what we do have is extreme volatility. And I think that the volatility comes from where it's hard to remember this level of growth market. And when there's this level of growth, like we've seen just this week and today, when there is a negative data point or even absence of more positives, it starts to be run for the hills and doom and bubble.
14:02And then when we see like Micron's numbers and guidance, all of a sudden everyone's bullish again. And we're going to keep seeing that. That's my take. One thing that you write about in the book repeatedly is that, you know, when you get into your whole background, Wharton, Harvard Business School, going and working for some investors that are household names to the Bloomberg audience. I mean, Steve Ratner, John Malone. I mean, these are legends. You are constantly saying you don't know how to code. You don't know how to write code. You built all these companies. What struck me about reading that was that that kind of doesn't matter now in a way that it mattered when you were building all these companies that you write about.
14:43How has the idea of like OpenAI's codex or cloud code from Anthropic, how does that completely change the game moving forward? Well, if you pull the camera back and even think more broadly, like how has the game of startups just changed and how is this another step function change? In each chapter, the amount of capital that you needed to get going has gone down, not up. When I was starting my first company, I had to recruit these government mainframe programmers, have them learn C++ and HTML. And I needed a fair amount of money to convince them to quit their jobs. And each of my subsequent companies today, you don't need that.
15:33You don't need as much capital. You don't need to go and necessarily recruit a whole team of the world's best engineers. It's being democratized today. Really, it's more possible than ever for somebody with an amazing idea who's willing to move on it now to really get somewhere in a far more capital efficient way. Yeah. I mean, I feel like we also saw that in the pandemic of people just being able to start things while they were home. I am curious about The Speed of Play Because that is on your book Talk to us about that and the importance of it Sure So there was a lot of debate With my co-author Carly My amazing editor Hollis On the title to the book It was originally called Proven Better New Which we can get into But that's kind of some of the core value in the book And I eventually said You know it's just that's not the whole gist of the book it's life at the speed of play and that's because it's both it's both the the place that we are moving into in this ai era it's it's it's really um i like i start the book by saying that that this is elon is the one person who's already been living his life at the speed of play and i definitely think he's having more fun than the rest of us okay he's also working harder i want to push back on this because carol and i talked about this he doesn't always look like he's having fun yeah he really I mean I think he's been really public about having this tortured existence and how difficult it is to be Elon Musk and the challenges that he struggled with uh personally I think more so than professionally do you actually think he's having more fun than the rest of us I do he's he's got an amazing sense of humor he's every time I see him he's joking laughing I I was with him um at a friend's house one night and it wasn't long after he had bought Twitter and it was basically like an hour of the best standup comedy I've ever seen.
17:39I mean, he, the way he talked about his experience of coming in to Twitter, um, and how insane the company was, was just, was just really funny. So, so my point of view, I mean, whether he's having more fun, who knows? Um, I think that, that what I, what we can see, you know, I said, maybe he's the one who solved the simulation, but we can see is that he can almost tweet something into existence that he said there, this traffic in LA is terrible. There should be a boring tunneling company. And then a few months later and a few billion dollars raised there was. And my point is to some degree, we all are on the brink of living a part of that.
18:24And the reason I call this life of the speed of play is that to me, what the book is really about is a product mindset. And I think that every, so many of us have an idea, but we don't know how to pursue it. Or we are pursuing an idea, but the odds of success are too low. Too many founders are failing for the wrong reasons. So a good idea is a good idea, but that's not enough necessarily to run with something and build something that lasts for longer or has some significant impact, correct? Yeah. And it might be that you have a good idea, but it's behind some obvious mistakes that you're making.
19:06The more junior product maker or founder is, and the less experienced they are, the more likely they are to do too much new, to just reinvent everything. You know, Steve Jobs talked about this. So the point of the book is I like to think that this book is like a cheat code that you can, whatever it is you're doing, you can change your odds of success and getting to a hit. It's the book I wish I had early in my career. So is this for founders? Like, who do you like think about? It sounds like it is for people who have an idea or want to run with something, right? This book is, every one of your listeners right now probably has some instinct.
19:46They have some sense. It's either a specific idea or a sense that something could be better. And the book is, the point of the book is that they should, when you think what should they do with that instinct, very few of them will act on it and turn that into a product or a company. and then their odds of success will be so low because they're going to take one shot on goal and it's probably going to miss. Well, I like how you write about that in the book because you use the idea of Uber as an example in the book. You had the idea for Uber in 2002. I did. SMS dispatching to a cab. Yeah. You're not Travis Kalanick.
20:29No. You did not start Uber. No. So you make this argument that I think a lot of people, everybody has these ideas. I had that idea doesn't mean you actually create the company. Why did, why was Travis able to do it? But Mark Pincus, who was in Silicon Valley in 2002, wasn't able to do it. I can't tell you why Travis was, but I can tell you why I wasn't. I didn't, first of all, I looked at the world as it existed, not as it could exist the way that Travis did. And by the way, in 2002, there wasn't a mobile, you know, smartphone then. And I thought about it in these conventional ways. Oh, I'm going to deliver your order to the taxi broker who will call a cab.
21:11I didn't ever think Travis's idea of the gig economy, I'm going to let anybody become a driver and have a driver within a minute of you. That was, that was brilliance. But, but I had an instinct, an instinct that we should be able to order a phone through our order a taxi through our phone. And, you know, the importance, the point I'm trying to get people to focus on the book is that if you assume your instincts are right, you know, 95 % of the time and your ideas right at best 25 % of the time, what would you do with that information? You know, it's like a time machine. You write about these instinct veins, deep sources of insight about human needs and behavior that can spawn multiple product ideas, even whole new industries.
22:02Is that what AI is right now? Like what we're doing? Is that what that is? Or is that? AI is beyond an instinct vein. I mean, AI is a fundamental shift in computing. I mean, the way that the internet was. And so, so I would. It's not apples to apples. Yeah. Yeah. No, it's interesting. You know, one of the things that I find also is some of the things you talk about like leadership, you talk about micromanagement is beautiful. And I think about how many times when you think about leaders that it's like, don't micromanage people. Yeah. I was told that so many times. Right? No, think about it. Like you bring in, you know, you know, experts or consultants and they're like, don't micromanage your people.
22:47Why is it so important? Why is it so important that you do micromanage? Because the point I'm trying to make here is that at the end of the day, what matters most is your customer experience, not how you delivered it. And so the point to me is deliver the best possible customer experience any way that you get there. And if it's through micromanaging, if you can guarantee the quality, if you can guarantee the delivery because you micromanaged, then by all means do that. I'm like, I don't care that McDonald's served 15 million burgers today. That doesn't make mine any better. I want the kernel cooking mine, you know, individually.
23:35Well, that's a major theme in the book is sort of throwing out this idea of the minimum viable product. I'm not going to repeat what the chapter's called because we're FCC regulated here. We're a family. Well, that chapter you can say was the MVP trap. Other chapters, no. Okay, cool. Yeah, great. There it is. um why what we've been sold this idea though of iterating and silicon valley sort of throws something sees you know see if what sticks and iterates on that over and over again why wasn't that ever right for you well the the original concept that eric reese had of minimum viable product and moving fast and being in the market is is a great concept it's just that we now, we don't, the point I make is that we no longer have time to go wait.
24:26The learning is too slow. If we build a minimum viable product, there's hope in the word viable, that this might be your launch product. And then you're going to invest more in that product than you should. And I like to say, just build it wrong before you build it right. Just build to learn, be whatever gets you signal from your customer the fastest is, and in the age of AI, we can prototype something or test something so much faster, but it's dangerous. What I'm seeing with AI is less that people are using AI to test and learn faster, but more build faster. And so if I can build something now in three months instead of three years that's so alluring that i might go do that but i don't have three months to to learn i'm wrong does that make sense i don't know that the viable word is is tricky well i think you had also shared in the book uh the example of twitch and building you know the founder of twitch their team was was changing their product every two or three days at that point yeah they were twitchy and that was that ended up being a good thing for them.
25:37Yeah. They got immediate feedback. Yeah. Well, they, I don't even know if it was getting any customer feedback. The feedback was just from themselves. It was, I don't like this product idea anymore. Let's switch. And so that's also important. And part of, I guess, part of the, what makes this so hard to be a founder, to be a CEO is that we're supposed to express confidence when we don't personally feel confidence, right? And so how do you come in on Monday and what if you just, what if you learned something in the past week that just said, this product isn't quite right or it's finally part built and you're like, I'm just not that into it.
26:19Do you go up to your team on Monday and say, guys, I know I got you to work nights and weekends for this, but I don't think this is right anymore. Or do you say, well, I don't want to demotivate my team. And so I'm just going to continue on this path for this whole product cycle, or I can't, I'm afraid to tell my investors who backed me that I was wrong. Right. And so the question is, are you more committed to the intellectual honesty or to harmony? I would say intellectual honesty. I mean, most people would not, I know, I know, but it's like, I don't know, at some point you need to be doing that.
26:55Hey, we're talking with Mark Pincus, founder of Zynga. He's got a new book out. It is entitled Life at the Speed of Play, Launch Products that People Love. Are there products? I mean, the product cycle, is it getting shorter or longer, especially when it comes to technology? Because I feel like there are things that people are so into and then they move on to the next thing and there's so much out there. How do you see it? Oh, from a consumer standpoint. Well, I say in the book that I think there's a metric that I don't know anyone but me who focuses on it and my former teams day 365 retention.
27:29So if a hundred people were using your product today, you know, or a year ago today, how many would still be using it today? And, and it's such a hard thing to build against because we don't have a year to wait. Right. But you never would have made your, that, that maybe works from a product perspective of building a company, but from a venture capital perspective, that doesn't work. You write about what attracted you to Mark Zuckerberg when he was a teenager still was that they were able to sign up, you know, schools 20 % on the first day, the next 80 % the next week. Like that happened instantly.
28:02Yes. Yes. I didn't know, but, but it turns out that this is, um, necessary, but, but not necessarily complete and sufficient is that, that if you have 60 % engagement, 60 % of your users show up every day, which has been true to this day with Facebook, the likelihood that you have high day 365 retention is highly correlated. It may not be the case, but it's highly, highly correlated. Did you know the minute you spoke with him that this was just something remarkable, meaning Facebook? Yes, yes. And by the way, so would you, both of you. So people who point to the fact that they invested early on in Facebook or these companies as a sign that they're a great investor, it does not necessarily mean that they are a great – that their judgment is so great because we all would have said, yes, their access is very impressive that they had and you didn't have.
29:10But here's what's so painful if you think about it. that story is less like kudos to Mark that he invested. And it's more like, like Mark, how is it like, think about this. How is it that in 2004, when I met him, um, I was doing tribe. I was doing one of the first social networks right before I started before he did. Yeah. How did I manage to fail? It's an act of willpower that I failed. It wasn't just Facebook. there was eight or nine social networks there was Bebo yeah tagged Myspace Friendster Friendster which I invested in they all worked I had I had to pick one idea that didn't work and and stoically heroically stick with it no matter what I don't care we are with Mark Pincus he's the founder of Zynga he's the author of the new book it's out this week life at the speed of play launch products people love.
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30:07I want to pick up with a headline that we just heard from Amy just now. It's coming from the New York Times about how open AI is leaning toward waiting until next year for its IPO. Rob Copeland and Mike Isaac writing this over at the New York Times saying that they're holding off on their initial public offering until next year. Three people involved in the company's deliberation said it punctuates an uncertain future for fast rising AI giants. That's again coming from the New York Times. Mark, you're an investor in open AI. You understand also what it's like to take a company public. You did that with several companies in different periods of your professional life.
30:41Timing is everything sometimes, right? Sure. Yes. Like the last day of the dot-com IPO window. Yeah. Just your thoughts on OpenAI and its path to becoming a public company. I'd say, on the one hand, I'm not sure how much the timing matters other than if it changes their access to capital. So I don't think they can afford to get significantly behind in the capital and build out race, but it's not clear that you have to necessarily go public these days if you look at the sizes of investments. So I think OpenAI is just an amazing kind of generational company, and I think people who count them out and say this is all anthropic are short-sighted.
31:37And I think that open AI has to catch up on the coding side. I think we'll see that happen with Codex. And they have a clear advantage on the consumer side, which I think is currently being underweighted. I think people wrongly think this is all just about coding and enterprise. And I just think that is where the action is right now. That's where the most revenue growth is right now. But there's no question to me that the consumer side of AI will be just as big, if not bigger. So, you know, KOTU put out a report calling it a$6 trillion market. And I thought it was interesting that they capped consumer at$500 billion, consumer AI, out of$6 trillion.
32:27That doesn't make sense to you. $2 trillion just for the engineering, the coding side. No, that doesn't make any sense to me. That's not the way we've seen the internet play out. You seem to be someone who can think super big about things. How should we be thinking about AI and how it changes our world as consumers? How is it going to at home, at work, at play? How is it going to change our world? Or is it just another amped up way of communicating online? I don't know. What is it? How do you think about it? It's not a way to communicate online yet because it's still oddly a single player experience, right?
33:03We're not in the AI. We're not in the GPTs and the chats together. But if you break your question down, I think first if you think how will it impact our jobs and the job market, I think we're very, very quickly transitioning from a knowledge worker economy to something else we don't have a name for, but it's going to be a prompt worker. It's going to be about being generative and we're going to be, whatever our job is, it's going to be very quickly. I mean, it's probably changed a lot for you guys. And the amount that we have to rely on AI, but the amount of leverage we get and the amount of, it's moving from a value on knowledge to a value on questions and curiosity.
33:59But you also have to have knowledge to ask a smart question. For sure. Right? And we're learning too, and we talk about this a lot, that I forget who, one of the interviews we recently had, that a really good question with AI is going to be several paragraphs long, right? If you really want to get a smart, useful information. You guys both impressively read my book and you have great questions. And I think if you'd relied on the AI, you know and i'll say even writing the book i had this love hate relationship with ai that at first it's magical and you're like oh my god it can take this long talk i just gave and condense it or can or editing is so painful wordsmithing and then you start reading it and it's getting it starts to get homogenized yeah and it's like it starts to feel soulless and it's like where did my voice go in this and i even tried a style guide and i'm like i want you to sound like my voice.
34:49And eventually I was like, I don't want you to change my words unless you absolutely have to. And then eventually I said, you know what? It's really helpful for some things. It's part of a process to take a long talk track and condense it to make it more organized. But I started to really kind of like a vinyl record, appreciate the imperfections of how I talk and say, you know what? That's, that's my voice. And that's how, you know, it is me. Right. You know, a major theme in the book is making decisions that your future self will respect. You have this framework, the Book of Life, which is, I think, a really important way to set up the book.
35:25I want to talk about that just in the last couple of minutes we have in the context of you being so public in 2024, coming out and saying, after so many years and so many millions of dollars donating to Democrats, I am now coming out in support of President Trump. I was surprised, I think, a lot of people to see you do that. How did your book of life framework and your idea of looking back at that decision inform that decision at the time? It's such a good question. It's definitely not something I signed up for in my book of life. However, it is important to me. Intellectual honesty is important to me.
36:04And being willing to take an unpopular stand. And I feel like if I can't do that, if I'm so scared because of groupthink and the consequences of taking a very unpopular position in a lot of my communities, then who can? And it was actually my daughter, Georgia. I didn't decide until the Sunday before the election that I was going to vote for Trump. I decided I was definitely not going to vote for Kamala. And I had lost faith in the Democrats and the mainstream media establishment that that I stopped trusting in that whole process. But I was also being very transparent in public on Twitter. I wrote a post in the free press saying, not that I support Trump, but that Biden at that time in late July of 24 felt even riskier than Trump.
37:07And that alone started a shitstorm, if I can say that word. It's out there. Okay. So it's too late to take it back. Too late. But Georgia came to me on a Sunday before the election. She said, Dad, you know you're going to vote for Trump at this point. And I said, yeah, I think you're probably right. She said, then you have to tweet that because you've been so open and transparent. And I said, yeah, you're right. And so then I wrote a whole post. It was, I think, the most viral post I've ever put up because I think it was oddly a touchstone for a lot of people because I was kind of like this, that big Democratic donor and breaking ranks, you know, was, and I've kind of like, it's funny to call it, but I'm kind of like part of the like rank and file Silicon Valley founders.
37:57Um, and so it was, I think a little, um, scary to some of the establishment to see this crumbling. Um, and, and I put the post out and I put my reasons out and it was on the front page of the New York post, like the next day, I didn't think it would be news. And, you know, and it really, really was much louder than I anticipated. And I was like, you know what, if I'm going to do it, I'm not going to. It's silly that we should have to hide our political views because we're tagged with an identity. And I'll just say this. I'm not on any team. And I said that throughout. I said, I'm not on team Democrats.
38:45I'm not on team MAGA. It sounds cheesy. I'm team America. I'm team my family community. And in this environment where we just saw three pretty extreme left Democratic Socialists win in New York, I don't know that any of us can really say we're identified with one party because who the party is, is really shifting. I'm a Chicago liberal. I've always been that. I'm socially liberal. I want people to have their own rights and freedoms. And I'm fiscally and economically conservative. I want to see a responsible government. I think I'm stating some obvious things here that 80 % of people, I don't know, 90 % of people agree with.
39:29And so for that to then define me as being right, you know, far right. And to hear journalists, I need to get a, I couldn't find a far right founder in San Francisco. Can I interview you? And I'm like, you want me? I'm far right. I'm like, I'm still here. Nothing's changed. So weird. Yeah. Yeah. So it's, and, and the part of my future self is I, I, even though it was painful and there was some dislocations and I did lose a couple of dear friendships over it. I am happy that Mark 2024. No, I'm happy Mark 2024 took a stand. God, I feel like that's a perfect place to wrap. We don't really want to wrap.
40:15We hope you will come back. This is really fun. And I was not expecting you guys to have read my whole book and have all of these really insightful questions. So I hope you guys follow the format in my book. I hope that you take an idea, prosecute it, and as a side hustle, you build a huge business and then this becomes your hobby. I love it. I love it. You give us a lot to think about. And I have to tell you, we still have a bunch of questions. I mean it. Please come back. We would really love it. But Mark Pincus, founder of Zynga, of course, founder of several companies. But his new book is Life at the Speed of Play, Launch Products People Love.
40:58There's a lot in here and a lot of great stories. Stay with us. More from Bloomberg Businessweek Daily coming up after this.
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43:05From game day crowds to memorable meals. Big League reliability for any business. That's genius. You're listening to the Bloomberg Business Week Daily Podcast. Catch us live weekday afternoons from 2 to 5 Eastern. Listen on Apple CarPlay and Android Auto with the Bloomberg Business App. Or watch us live on YouTube. I'm looking at shares of Micron. They're off their best levels, but still up 15.5%. Remember, this was yesterday. We were just talking about this is the one to watch. Cameron Christ said, after NVIDIA and Alphabet, this is the most important publicly traded company out there. Record high intraday.
43:42I mean, yeah. Yeah. So this year, Micron, after today's rally, up 325%. Just a little bit of a rally there. Qualcomm shares jumping too after the chipmaker forecast annual sales of more than$15 billion from AI components and data centers by fiscal 2029. We got to bring back Mandeep Singh. He's global head of technology research for our Bloomberg intelligence team. He joins us from New York. I asked you the question yesterday, Mandeep, does Micron make or break a cycle? You said, no, it's not big enough to do that. But I think it's fair to say after those results, it gives us a little idea of where we are in the cycle.
44:18Is that fair? It is. And look, the picks and shovels continue to show very robust growth. And in the case of Micron, they now have, you know, 100 billion worth of contracts with 16 of their customers. These are take or pay contracts. And it gives them a lot of revenue visibility along with the margins. I mean, 85 % gross margins, 81 % operating margins. The kind of leverage these companies are showing is just phenomenal. So these kind of quarters are hard to come by. But when they do, you just got to applaud what these companies have delivered. Well, based on what they reported, how many more quarters can they have like this?
45:04I mean, what's the runway that you see for companies like Micron? It feels like it's hard to top this one in terms of, you know, the magnitude of the beat. So I would say in terms of upward revisions, we probably won't get these kind of beats. But look, that's where when a company is growing triple digits, it's hard to imagine a scenario where they will be a bust and suddenly, you know, they will have negative growth or anything like that, which has happened with Micron. So, you know, but the kind of demand drivers we see, and I know the comparison with Micron memory being a commodity. Right now, it definitely doesn't feel anywhere close to a commodity in terms of what they are selling and the pricing power they're showing.
45:57So until we get a big supply expansion, I just don't see how they will, you know, suddenly go bust and, you know, stop growing in a few quarters. Are you surprised by the stock reaction? We're not going to ask you to give a rating on the stock or a price target. Bloomberg Intelligence doesn't do that. But I'm just curious about your view on how the stock has reacted. No, I think these are strong fundamentals, and the stock should be up on a print like this. So if anything, they added more visibility. They said they will report RPO going forward, remaining performance obligations, and that backlog number should comfort a lot of the investors who may think, oh, suddenly things may change a couple of quarters from now, and we know the stock will be forward-looking.
46:47But in this case, you know, it sounds like the supply constraints will exist through 2028. And so if a company is printing, you know, earnings like this, then the stock deserves to be traded at a higher multiple. And I think that's what you're seeing in the reaction to that. Mandeep, you know, speaking of the semiconductor space, the company that we have talked about, it feels like nonstop for the last two, two and a half years is NVIDIA. And this one, we have seen it come down a lot since about mid, let me just look at my numbers here, mid-May. It's down almost 20%, a little bit more than 17.5 % here.
47:26I understand we're talking a lot about memory, but what's going on with NVIDIA? I mean, look at, you know, NVIDIA's supply chain. The fact that memory prices are going up, that at some point has to reflect NVIDIA's margins. And they have to also pay up, you know, Micron and SK Hynix and Samsung for higher memory costs, even if they are the largest player and they have signed these long term agreements with Micron. But I feel like that's where everyone is anticipating, you know, the margins can't go any higher because of all the inflation we are seeing in the component pricing. And they are seeing more competition.
48:08OpenAI just yesterday announced a new chip with Broadcom. Granted, it will take nine months to tape out. But if you start looking, you know, three, four quarters out, then you start to feel like NVIDIA will probably have more competition. And that's where I think it's getting reflected in the valuation and the stock reaction. Well, speaking of stock reaction, Apple shares fell as much as 6.6 percent in today's session. this after the company raised the prices of Macs, iPads, home devices, and the Vision Pro to offset cost hikes caused by a shortage of the memory, chips, and storage that we're talking about with regard to Micron and others.
48:46Why is the stock reacting this way? Does this show, or why are investors reacting this way? Does it show that there's not confidence that Apple has the pricing power and there could be some demand destruction? Yes, I think that demand destruction aspect is definitely obvious here because you can't expect to sell the same units if your product is, you know, 20 % more expensive now. And so even though Apple has the pricing power and, you know, a lot of their customers will be willing to pay that price, but the unit growth will have an impact. And look for some of the other hardware OEMs, they may not even have the option to raise prices because the demand destruction could be severe.
49:30I don't think that's the case with Apple because of the customer base. But this memory pricing will trickle down to, you know, the margins of a lot of hardware OEMs. And that's where, you know, there is no free lunch in terms of paying up for memory and, you know, the margins being stable for everyone else out there. And I I think you will start to see the margin impact kind of flow through for a lot of the companies that don't have the pricing power. Mandeep, these higher prices, do they continue for a lot longer? You know, we talk with you about this all the time, the imbalances between supply and demand right now and the semi-space always being a little bit cautious about, you know, further building out because they've seen the booms and busts.
50:14Should we assume that these higher prices are going to persist longer rather than a shorter time period? Well, the risk here that I see with that, you know, continuous pricing story is if, let's say, there is no big use case after coding agent. Right now, everyone is bulldog about coding agent and how large addressable market there is for coding agents. What if there is no new use case beyond coding agents? That's when, let's say, a Meta or a Microsoft pulls back on their CapEx. Then suddenly, I think that enthusiasm is going to settle down and probably people won't be as excited about the CapEx because right now, a lot of the hyperscalers are eating the memory prices in their CapEx.
51:00And I think that is the risk to that story that if one of them pulls back because they're not seeing the gains, you will start to see some impact on memory. All you need to know, folks, right there. Mandeep Singh, thank you so much. That, of course, is the global head of technology research for our Bloomberg intelligence team. He is Man David Singh joining us right here in New York. This is the Bloomberg Business Week Daily Podcast. Available on Apple, Spotify, and anywhere else you get your podcasts. Listen live weekday afternoons from 2 to 5 p.m. Eastern on Bloomberg.com, the iHeartRadio app, TuneIn, and the Bloomberg Business app.
51:39You can also watch us live every weekday on YouTube and always on the Bloomberg Terminal.
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From the publisher
The people, companies and trends shaping the global economy. Watch Carol and Tim LIVE every day on YouTube: http://bit.ly/3vTiACF.
Qualcomm shares jumped after the chipmaker forecast annual sales of more than $15 billion from artificial intelligence components in data centers by fiscal 2029. This year Qualcomm’s gains have lagged a general rally by chip stocks as investors concentrated on names more closely associated with spending on AI components.
Qualcomm’s new priority is to win business from the biggest investors in data center gear, joining the competition to cut into Nvidia lead in what has become the most lucrative opportunity in the history of the semiconductor industry.
On this episode, Carrol Massar and Tim Stenovec speak with:
- Ed Ludlow, Bloomberg Tech Host
- Mandeep Singh, Bloomberg Intelligence Global Head of Technology Research
- Mark Pincus, Founder of Zynga and author of the new book 'Life at the Speed of Play: Launch Products People Love!'
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