In short
Prof G Markets - Episode Summary: Google Goes All-In on the AI Arms Race
Episode Overview In this episode of *Prof G Markets*, host Ed Elson discusses Google's significant bond sale, the upgrade of Oracle's stock by D.A. Davidson, the current boom in memory stocks, and public sentiment regarding AI. The episode features insights from Gil Luria, Head of Technology Research at D.A. Davidson, and Doug O’Laughlin, President of SemiAnalysis.
Key Topics Discussed
- Google's Massive Bond Sale
- Google executed one of the largest corporate debt offerings in history, raising nearly $32 billion.
- Aim: To fund an aggressive expansion in AI infrastructure and manage treasury effectively.
- Google's bond offerings attracted overwhelming investor interest, reflecting confidence in the company’s financial health and future plans.
- Luria emphasizes that Google’s decision to borrow is tactical and strategic, showcasing their commitment to long-term investment in AI.
- Oracle's Stock Upgrade
- D.A. Davidson upgraded Oracle’s stock amid concerns regarding its previous financial struggles.
- Factors contributing to the upgrade include a refocused strategy by OpenAI and an uptick in expected demand due to the emergence of new AI technologies.
- Luria contrasts Oracle's situation with Google's, noting Oracle's lack of excess cash flow compared to Google’s robust financial position.
- Soaring Memory Stock Prices
- Memory chip stocks, particularly those of Samsung, Micron, and SK Hynix, are experiencing unprecedented growth fueled by AI demand.
- Doug O’Laughlin explains the cyclical nature of the memory market and how current demand from AI is drastically outpacing supply, leading to price increases.
- The episode discusses the implications of memory chip shortages on consumer electronics and broader tech industry dynamics.
- Public Sentiment on AI
- A significant portion of the American public expresses concern about AI, with over 80% feeling anxious about its potential threats.
- Despite the technology's potential, there is growing pushback against AI and data centers, leading to political movements aimed at regulating or blocking new data center construction.
- Elson raises the question of how public sentiment regarding AI could impact valuations and future investment in the sector.
Key Takeaways
- Google's Strategic Play: The bond sale is both a tactical treasury management move and a signal of commitment to AI, highlighting competitive pressures in the tech industry.
- Stock Market Reactions: Oracle's situation reflects differing investor sentiment based on financial fundamentals, especially compared to Google’s strong cash position.
- Memory Market Dynamics: The dramatic rise in memory prices is driven by AI demand, emphasizing the need for investment in supply to meet future needs.
- Concern Over AI: The unpopularity of AI among Americans could lead to obstacles in future tech developments and impact investor confidence.
Conclusion The episode provides a nuanced exploration of the current landscape in tech markets, focusing on the strategic moves made by major players like Google and Oracle, as well as the broader implications for memory stocks and public sentiment around AI. As the tech industry continues to evolve, understanding these dynamics will be crucial for investors seeking to navigate this complex environment.
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*Produced by Prof G Media, this podcast episode highlights critical financial insights and trends shaping capital markets today.*
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOMarket Vitals Update
2:16 to 3:59
An overview of recent market performances and major corporate news.
“Financial stocks also dropped after Altruist released an AI tax planning tool.”
Google's Historic Debt Offering
4:03 to 6:12
Discussion on Google's recent $32 billion debt offering and its implications.
“we're speaking with Gil Luria, Head of Technology Research at DA Davidson.”
Analyzing Oracle's Position
6:14 to 11:01
Insight into Oracle's stock upgrade amidst challenges in the tech landscape.
“The fact that, you know, we know that they're spending all of this money on CapEx and it just exploded.”
The Future of Software in the Age of AI
11:05 to 13:20
Exploring the impact of AI on software companies and investment opportunities.
“The other thing, just before we let you go, that I want to hear from you on, the SaaS is dead, software is dead thesis, which really played out last week.”
AI's Role in War: Exploring US-Iran Conflict
15:13 to 16:15
Discuss the implications of AI in modern warfare and the US-Iran conflict.
“Not the best explanation for a war of choice, sir.”
Memory Chip Market Surge
16:24 to 16:46
Analyze the soaring stock prices of memory chip companies due to AI demand.
“Memory chip stocks are on a relentless tear right now.”
Understanding Memory Chips: Types and Demand
16:47 to 19:32
Gain insights into memory chips, their functions, and current market dynamics.
“leading to shortages across the rest of the tech industry.”
Impact of AI on Consumer Prices and Stocks
19:33 to 24:06
Explore how AI's demand affects consumer prices and stock market trends.
“And it's like, it's going to hurt most basic consumer products like your phone, for example.”
Public Sentiment and Political Response to AI
24:07 to 28:01
Examine the growing public concern around AI and its political implications.
“Well, all this talk of AI and chips and data centers is honestly getting a little bit exhausting.”
Public Sentiment on AI and Data Centers
28:01 to 29:52
Explore the rising public opposition to AI and data centers in America.
“That is roughly a third of the number of employees that work at a standard Walmart location.”
Transcript
Automatic transcript. May contain errors.0:00Doug O'Laughlin:Support for the show comes from Fundrise. For the past seven years, there's been a room in finance most people couldn't enter, a room where you could have invested in some of the biggest names in tech companies like Airbnb and Uber before their multibillion dollar IPOs. I'm talking about venture capital. Fundrise recently took a sledgehammer to those closed doors by launching a venture capital product that's available to anyone. Their mission is to give everyone the chance to invest in the best tech and AI companies before they go public. You can visit Fundrise.com slash ProfG to check out Fundrise's venture portfolio and get in early today.
0:35Doug O'Laughlin:All investments involve risk, including the potential loss of principal. Past performance is not indicative of future results. This is a paid advertisement.
0:58Doug O'Laughlin:store like right now. See who? Nope, unavail. The only thing I want to see are the prices just lowered on tech home and all my must-haves. Wait, you want to shop Walmart with me?
1:12Gil Luria:Alrighty,
1:13Doug O'Laughlin:I think I can fit you in.
1:16Gil Luria:This episode is brought to you by Nespresso. Introducing Virtual Up, the latest in a long line of innovation from Nespresso. It's innovation you can touch, scents, and taste in every single cup. With a three-second start, easy open lever, and dedicated brew-over-ice button, it's even easier to enjoy your coffee your way. Zip for yourself.
1:38Ed Elson:Shop Virtuo up exclusively at Nespresso.com. Today's number, 47.6. That's how many hours of sleep the average American gets each week. Today's other number is zero. That's how many hours of sleep Michael Saylor got last week.
2:08Ed Elson:Welcome to Prof G Markets. I'm Ed Elson. It is February 11th. Let's check in on yesterday's market vitals. The S &P 500 and the Nasdaq declined on weaker than expected retail sales data for December. Financial stocks also dropped after Altruist released an AI tax planning tool. Charles Schwab fell 8 % and Raymond James fell 9%, meanwhile the Dow notched its third record close. Spotify soared 15 % after reporting record user growth and tripling profits from a year ago. And finally, Paramount sweetened its hostile offer for Warner Brothers Discovery. It offered to pay the$2.8 billion termination fee that WBD will owe Netflix if the deal falls apart.
2:54Ed Elson:WBD stock rose more than 2 % on that news. Okay, what else is happening? Google just executed one of the biggest corporate debt offerings in history. On Monday, the company priced its largest ever US dollar bond sale, raising$20 billion across seven different maturities. That deal drew more than$100 billion in investor orders, one of the most heavily subscribed order books ever for a corporate bond sale. The next day, Google raised another$11.5 billion in sterling and Swiss francs. The sterling deal included an ultra-rare$1.4 billion 100-year bond, which attracted close to 10 times the amount offered in investor demand.
3:36Ed Elson:All in, Google raised nearly$32 billion in debt in less than 24 hours. The borrowing spree came days after the company announced plans to roughly double its CapEx for 2026, and the spending surge extends across big tech. Amazon, Google, Microsoft, and Meta plan to spend a combined$660 billion in AI infrastructure in 2026. That is up 60 % from 2025. Okay, to help us break down this debt offering from Google, we're speaking with Gil Luria, Head of Technology Research at DA Davidson. Gil, Good to see you. Good to see you. So Google just raised nearly$32 billion worth of debt in less than 24 hours.
4:22Ed Elson:One of the largest debt offerings in a really long time. Take us through this. Why does this matter? What does this mean for Google?
4:30Doug O'Laughlin:There's tactical and strategic aspects to this. So part of this is treasury management. Google has plenty of cash. They probably have$80 billion of net cash. They can cover all of their CapEx needs with the cash flow they have from their traditional advertising business. But they're choosing to borrow money to create more capacity. This is very low-cost borrowing for them. And it aligns them with where they need the cash. Sometimes you have cash in one country and you actually need another. And so a lot of this is tactical, treasury management. Some of this is strategic, though. But let's not forget that Microsoft, Amazon, Google, OpenAI, Anthropic, Meta, Elon are all in this big competition to be the biggest winners in AI, which is going to be a very expensive competition that many of them believe is going to be winner take all or at least winner take most.
5:28Doug O'Laughlin:They believe that because their existing markets are like that. So what they're trying to do, and Google is doing this by issuing a 100-year bond, is to say, we're in it for the long haul. We are going to spend as much as it takes to win. And they're not the first ones to do this. Mr. Zuckerberg at Meta signaled the same thing by increasing his capex continuously and by paying tens of billion dollars for talent. I forget, he paid$14 billion to hire Alexander Wang. So we're having this kind of signaling in the market by these really large players that are saying, you know what, we're going to outlast everybody.
6:09Doug O'Laughlin:You should blink before we do.
6:12Ed Elson:Is this of concern at all? The fact that, you know, we know that they're spending all of this money on CapEx and it just exploded. We just learned in their previous earnings, they're going to spend$660 billion on AI infrastructure in 2026. Something we've been saying a long time is, you know, that's a lot of money, but this is money that they have. Now we're seeing these gigantic debt offerings, which is basically them saying, no, now we need to borrow money to do this. Is that a concern or is this kosher?
6:43Doug O'Laughlin:I would say that it's a concern for whoever loses. Whoever wins, all this CapEx will have been a great investment. If there's any losers in that group that I mentioned, they're going to be stuck with a lot of infrastructure that they're going have to sell at a discount. So that's the concern. But in terms of borrowing, especially if we're talking about Microsoft, Amazon, Google, and to the extent Apple ever gets into the game, they have so much cash flow, so much cash on hand that them borrowing is more a flex than anything else, right? Banks always prefer lending money to companies that don't need to borrow.
7:23Doug O'Laughlin:And this is a great example of that. Google doesn't need to borrow, which is why it's so easy for them to borrow a lot at a very inexpensive price. And again, signal to the market that they have a lot more capacity than just their cash flow, which, by the way, is huge anyway.
7:40Ed Elson:The market's reaction was, you know, tepid. The stock was down a little bit after the debt offering. Very different from what we saw last week when Oracle made the same move. and you saw just a giant crash in the stock down around 9%. Is that markets telling us we think Google does have the capacity to borrow right now and we don't think Oracle does?
8:04Doug O'Laughlin:Yeah, Google has the cash and the cash flow to support paying back that interest for a very long time. By the way, Google has been down the last couple of days. There's starting to be a reversion to the mean, right? Google is multiple is now in the 30s. Microsoft and NVIDIA in the low 20s, in spite of the fact that the growth rates are similar, and I would argue Microsoft and NVIDIA are just as well positioned in the AI race. So, we're starting to see a reversion to the mean. Oracle is very different. Oracle really painted themselves into a corner. They committed to an infrastructure build-out that required them to raise a lot of capital in order to execute.
8:45Doug O'Laughlin:They don't have excess cash flow. They're really stretched right now. But the good news is it looks like they will be successful in the raise, which means they'll be able to deliver. And if OpenAI can raise their own$100 billion by the end of the quarter, which is the most important thing in AI right now, OpenAI will be able to pay for that Oracle capacity. And we can all breathe a sigh of relief for Oracle, which, again, really was in a little bit of a bind.
9:11Ed Elson:Yeah, we should mention, I found this fascinating, you guys over DA Davidson, you upgraded Oracle to a buy, which is interesting because you're one of the people who's been kind of sounding the alarm on the position that Oracle has found themselves in over the past few months. Take us through the upgrade on the stock. Why have you regraded to buy?
9:33Doug O'Laughlin:Yeah, so we sounded the alarm when the stock was$345 trading 45 times earnings, and OpenAI looked to be losing momentum. What's happened since then is, first of all, Oracle stock went down to 143, 18 times earnings. And then OpenAI, very importantly, a few things happened there. One is OpenAI started to focus. Instead of being spread too thin, making promises they can't keep, and trying a lot of different things, they're refocused on their frontier model and on ChadGPT, which you can tell by the fact they're starting to advertise. Second thing that happened is because Google made such a splash with Gemini and just reported really good earnings this week, that really scared Microsoft, Amazon, and NVIDIA, which means they're very likely now to give OpenAI that $100 billion.
10:26Doug O'Laughlin:And then finally, OpenAI is probably pretty close to introducing another model that'll be another leap forward, should become the state of the art again. So if OpenAI has a state-of-the-art model, is focused on the business and can raise the capital, then it will be able to pay all those bills that we were worried about. So that's what's changed. Oracle's stock price went down a lot. People were expecting OpenAI to not be able to deliver. And because OpenAI has gotten their act together, now it looks like OpenAI will be able to pay those Oracle bills. And again, bail Oracle out of a very tough situation.
11:05Ed Elson:The other thing, just before we let you go, that I want to hear from you on, the SaaS is dead, software is dead thesis, which really played out last week. All the software stocks got absolutely crushed. We've seen a little bit of a rebound this week, not fully or not totally equally distributed across the software stocks, but as a whole, tech is rebounding, software's rebounding a little bit. But where do you stand on this debate at this point? People said last week, software is dead. AI killed it. Where do you stand today?
11:44Doug O'Laughlin:AI is a major disruptive force in all of technology and the whole economy and specifically for software. What happens when you have major disruptive forces is that excellent companies and good businesses execute well and win. And companies that are not very good and not very good markets end up falling by the wayside. That's true in software as well. But what happened the last couple of weeks is that all software stocks sold, regardless if they're in the first or the second category. And we love that because that's what creates opportunities. I've been a software analyst for a long time. I've always resisted putting revenue multiples on any company, including software companies.
12:23Doug O'Laughlin:We don't have to anymore. These companies are now trading on free cash flow, on their actual profit. And you had an opportunity last week to buy unbelievable companies like Snowflake and Datadog at 35 times cash flow, Microsoft at 20 times earnings because of this onslaught on all of software that, again, ignores the fact that Datadog, Snowflake, massively big winners in software, Microsoft, massively big winner in AI. but the sentiment against software was so negative that really good companies that are executing well and are well positioned for AI were selling alongside companies where the disruption may actually hurt them even though they have some years to execute.
13:08Doug O'Laughlin:I understand that part. But again, I love the opportunity to buy companies growing 15, 20, 30 % on a multiple of cashflow. We've never had that and that's a great opportunity for investors.
13:19Ed Elson:All right, Gil Luria, Head of Technology Research at DA Davidson. Thank you, Gil.
13:24Doug O'Laughlin:Thank you, Ed.
13:26Ed Elson:After the break, why memory chip prices are soaring. And for even more markets insights, you can subscribe to my weekly newsletter, simply put, at edwardelson.substack.com.
13:48Doug O'Laughlin:This episode is brought to you by Indeed. Stop waiting around for the perfect candidate. Instead, use Indeed Sponsored Jobs to find the right people with the right skills fast. It's a simple way to make sure your listing is the first candidate C. According to Indeed data, Sponsored Jobs have four times more applicants than non-sponsored jobs. So go build your dream team today. with Indeed. Get a$75 sponsored job credit at indeed.com slash podcast. Terms and conditions apply. Hey, Kara Swisher here. I want to let you know that Vox Media is returning to South by Southwest in Austin for live tapings of your favorite podcasts.
14:25Doug O'Laughlin:Join us from March 13th through the 15th for live tapings of Today Explained, Teffy Talks, Prof G Markets, and of course, your two favorite podcasts, Pivot and On with Kara Swisher. The stage will also feature sessions from Brene Brown and Adam Grant, Marquez Brownlee, Keith Lee, Vivian Tu, and Robin Arzon. It's all part of the Vox Media podcast stage at South by Southwest presented by Odoo. Visit voxmedia.com slash SXSW to pre-register and get your special discount on your innovation badge. That's voxmedia.com slash SXSW to register. Really, you should register. We sell out and And we hope to see you there.
15:12Doug O'Laughlin:This is what President Trump had to say about why the United States is at war with Iran. We sought repeatedly to make a deal. We tried. They wanted to do it. They didn't want to do it. Again, they wanted to do it. They didn't want to do it. They didn't know what was happening. Not the best explanation for a war of choice, sir. I'm personally a do-my-own-research kind of guy, but let's ask AI why we're at war with Iran. Chat? The United States attacked Iran in 2026 because it claimed Iran posed an imminent threat, particularly due to Iran's advancing nuclear program and missile capabilities, and aimed to reduce Iran's ability to project power in the region.
15:56Doug O'Laughlin:Wow, that was a better explanation. Thanks, chat. Fitting that AI was more clear than the President of the United States, because it turns out the United States is using AI to fight the war in Iran. The future of war is AI, and that future is now here. You can find out whether or not you should be freaking out over in the Today Explained feed.
16:23Ed Elson:We're back with Prof2Markets. Memory chip stocks are on a relentless tear right now. Shares of the three industry leaders have soared in the past year. Samsung is up 200%. Micron is up 300%. SK Hynix is up 340%. All of the memory chip stocks are soaring. And the reason is because AI data centers are devouring memory chips, leading to shortages across the rest of the tech industry. Meanwhile, shares in Qualcomm and ARM declined after they warned that these memory constraints could cap smartphone production. Apple's quarterly earnings were clouded by the same concern. So what are these memory chips exactly?
17:07Ed Elson:And why are they so precious right now? Well, to answer these questions, we're speaking with Doug Laughlin, president of Semi Analysis. Doug, thank you for joining us on Prof2Markets.
17:19Gil Luria:Thanks for having me. More than happy to answer whatever questions you guys have.
17:23Ed Elson:We have plenty. So chip stocks are soaring this year, memory chip stocks, that is. Can we just start with the basics here? Like, what do memory chips actually do?
17:36Gil Luria:So, like the word implies, memory often stores something for recalling later, kind of like how our memory works. Now, there's two key styles of memory, which is DRAM, which is non-persistent, meaning it works while it's plugged in. and there's something called NAND or actually there's also hard drives as well, but for most people really care about DRAM and NAND. Now NAND is non-persistent, meaning that you can unplug it and it will still hold your information. So when you turn off your computer, all your files are still there, that's on NAND. But when you turn on your computer, most of the time it's using faster memory, which is called DRAM.
18:14Gil Luria:So those are the big categories of memory and there's actually kind of this newer category called HBM, called high bandwidth memory, but don't want to get too into weeds too quickly.
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18:23Ed Elson:So why are these memory stocks tearing right now?
18:28Gil Luria:Yeah, so I think there's a little bit of history that helps set the context. So memory is notoriously cyclical. Pretty much every year there's new memory demand comes online for more data. But when new memory supply comes online, often it comes on in chunks of 40 to 50 percent. So what happens is, you know, supply overshoots demand, boom, price goes down. Demand overshoots supply, boom, price goes up. we are in what is probably the most historic memory cycle of all time. Demand specifically from AI has skyrocketed. And effectively, we just came out of the single worst memory cycle ever. And when you have a bad memory cycle, pretty much your desire to spend on new capital equipment or new fab cleanroom space is very low.
19:17Gil Luria:And so pretty much no one wanted to spend because they're burning all this money. And then boom, a giant demand vector hit the industry. And so now everyone's kind of racing to invest in supply, but there's literally no supply for the next two years. And so you have that perfect supply demand mismatch. And that's the reason why memory prices have gone up 100%. And it's like, it's going to hurt most basic consumer products like your phone, for example. The price in your phone of the DRAM, even the NAND, the DRAM specifically is going to go up like 100%. And so that's kind of this crazy dynamic that's happening because of AI.
19:50Gil Luria:AI is just demanding so much memory that it's kind of, you know, completely throwing the supply to nanotinous off.
19:56Ed Elson:In an interesting way, it seems to mirror what we've been seeing with energy prices, where you have this massive AI build out, all of these data centers that consume huge amounts of energy. And one of the side effects of that is that energy costs go up. What you're saying is these data centers also consume huge amounts of memory chips. We don't have enough memory chips and therefore that might also increase the price of consumer goods is that
20:21Gil Luria:right yeah for sure it will definitely increase the price of consumer goods um honestly we think the the it's kind of crazy because you know we do some here at 70 offices we do actually do like a lot of work maybe this is a little bit of a rabbit hole we do a lot of work on the the energy pricing side of things too um ironically most of the energy pricing that you're seeing in the grids uh the like essentially what is recognized the consumer is actually the past few years of investment. Honestly, given how much demand there is, I think most of the energy prices so far have very little AI to do with it, but the energy prices down the pipeline, now that's all AI.
20:55Gil Luria:So it's kind of interesting. You're already seeing these price increases, and this is even before the true demand vector came in. That's a complete side, kind of like a side tangent. But yeah, that's really what happened. There was essentially no supply. And I think the place that we're seeing, like our business is very focused on like kind of seeing where AI impacts chips and semiconductors, hence semi-analysis, right? And we think the biggest bottleneck in the market right now today is memory. And that's just because there's so much demand and there's so little supply. And the supply response takes often 18, 24 months.
21:29Gil Luria:And we're, you know, I think we're six to 12 months into that. So we have at least 12 months before more supply comes online.
21:35Ed Elson:So some of the memory names we're talking about here, Western Digital, Micron, Seagate, sandisk sandisk is up 1500 in the past year kind of unbelievable do you expect that this is going to continue over the next 12 months it sounds like you think that the chips themselves will keep going up in price would you expect that the the demand for the stocks that make the chips
21:59Gil Luria:will also continue to go up well this is where uh memory stocks are kind of like a whole you know a whole like 40 chests altogether. Because what happens is stocks are very, very forward looking, right? And the thing that really matters is right now, every day, the stocks have been ripping on the fact that spot or contract price effectively has been going up. Now, what's going to happen is that's going to continue to happen until there is real fungible, like a real supply response. And so we just don't see it until the first half of 27. seven. We think that memory prices will continue to go up quite meaningfully into the rest of this year.
22:35Gil Luria:And then in the first half of 27, we expect a meaningful amount of supply to come online. And we just don't think that cross is going to happen. Historically, what happens is when the first supply starts to come online, the stocks tank. There's no other way to put it, right? Going up this amount of this, like, you know, precipitously is often not sustainable. And I think everyone in the industry would tell you, everyone understands this is not a sustainable price. And this just takes capitalism to fix it, right? Supply will react to demand. But at this exact moment, we're at this like crazy parabolic thing.
23:09Gil Luria:And I think right now we see no reason that memory prices won't continue to rip for the rest of the year. And so that's kind of like the, right, that's how you think about it is I would expect them to continue to do well, but maybe not at the past rate they've done well especially out of the worst cycle of all time into the best cycle of all time that kind of inflection is usually where the stocks go crazy um how i think about it actually if we're talking about like from pure stock perspective if you um if you think about like nvidia's giant year two years ago right when nvidia uh the stock went up like you know i don't i don't know the numbers off my head and then last year honestly nvidia did outperform the market meaningfully, but we're talking 35, 40%, right?
23:49Gil Luria:Meaningfully above the market, but not quite as much. I think some of that inflated expectation is going to come out. Now, that obviously doesn't mean the stocks are going down. In fact, I'm very bullish, but I don't expect the same setup going forward.
24:00Ed Elson:All right. Fascinating stuff. Doug O 'Loughlin, president of SemiAnalysis. Thanks for joining us, Doug.
24:06Gil Luria:Yes, thank you for having me.
24:11Ed Elson:Well, all this talk of AI and chips and data centers is honestly getting a little bit exhausting. If you watch the Super Bowl, you'll have noticed that one in four of the ads that were aired featured AI in some capacity. Meanwhile, AI is being mentioned in more earnings calls than ever before. Also, Google's search interest in AI is already twice as high as it was just 18 months ago. And throughout this dialogue, a lot of people are asking a lot of different questions, such as how are we going to use AI? How will it be generated? Who will be the winners? Who will be the losers? These are some of the most important questions of our time right now.
24:49Ed Elson:And that's why we are covering AI so aggressively. But there is one more question that is arguably more important than any of the others. And it's a question that investors need to start taking seriously. And that is, how many Americans actually want AI? That might seem like a stupid, maybe simple question until you dig into the numbers and you start to realize that increasingly across America, people actually don't want AI. More than 80 % of Americans say today that they are concerned about AI. More than 75 % say that it could pose a threat to humanity. More than half say it's going to negatively impact our ability to do things on our own.
25:38Ed Elson:And perhaps most importantly, less than half of Americans currently have a favorable view of AI right now. Put another way, AI is broadly unpopular in America. Now, to be fair, this happens a lot with new technologies. People find it scary, they say it's too much, they push back. And then ultimately, the technology ends up being so useful that we end up using it anyway. And in all likelihood, that's probably what will happen with AI. But we should also recognize it's getting to the point where AI is so disliked that now actual obstacles are being put in place to prevent this massive AI build-out that we keep on talking about.
26:23Ed Elson:Most notably, we're seeing this in politics. You might remember a few months ago, I said that I thought data centers were about to become the new political football. One thing about data centers, huge costs on energy and temporary job creation through the construction. But once it is built, actually the local community doesn't really benefit from it. It's a robot that's building shareholder value for the people who own AI stocks. And so it's becoming a really interesting, and I think this is going to become more prominent in the political sphere, but it's this NIMBY versus YIMBY debate. Well, we are now seeing this play out.
27:10Ed Elson:Just last week, Ron DeSantis discussed a new proposal to prevent data center construction in Florida.
27:16Doug O'Laughlin:These hyperscale data centers use as much power
27:20Ed Elson:just to power the data centers as a city of half a million people. You have this much power that you're capable of generating.
27:28Doug O'Laughlin:You have this much demand, right? And that's kind of where we are. If you double the demand, unless you also double the supply, prices are going to go up.
27:39Ed Elson:Now, DeSantis' argument is that data centers, while they might seem good for a local economy, they're actually quite bad for a local economy. Why? Because they don't really employ people. And more importantly, they send electric costs through the roof. Both of these statements, by the way, are true. You look at OpenAI's new Stargate data center, for example. That's going to employ about 100 people. That is roughly a third of the number of employees that work at a standard Walmart location. Meanwhile, electric bills are indeed going up. in areas where data centers have been built, the price of electricity has risen roughly 250 % over the past five years.
28:20Ed Elson:And this is why these anti-data center movements are now piling up around the country. In Michigan, protesters have filed several lawsuits against one of those Stargate data centers. Over in Arizona, the town of Marana has elected to block a data center as well. In Virginia, more than 50 data center regulation bills have been proposed this year. And in Georgia, lawmakers have suggested simply banning data centers across the entire state. All around America, people are slowly but surely deciding that they actually don't like AI. They don't like the CEOs, they don't like the companies, and they especially don't like the data centers.
29:02Ed Elson:And we can have all of these business-y conversations about AI. We can talk about energy capacity and enterprise usage and memory storage, etc., etc. But the biggest conversation we are not having is how many people actually want this. This is what investors should be tackling. And it's also what investors should be pricing. What does America disliking AI actually do to valuations? What does it do to earnings? What does it do to cash flows? These are real questions. But so far, we seem to be treating them as footnotes or background information. But ultimately, the answers to those questions will be what determines the future of AI.
29:45Ed Elson:Like any other product, AI success will be a function of how many people like it. And increasingly, that number is going down.
30:00Ed Elson:Okay, that's it for today. This episode was produced by Claire Miller and Alison Weiss, edited by Joel Patterson, and engineered by Benjamin Spencer. Our research team is Dan Shalan, Isabella Kinsel, Chris Nodonoghue, and Mia Silverio. Thank you for listening to Prof G Markets from Prof G Media. If you liked what you heard, give us a follow. I'm Ed Elson. I will see you tomorrow.
From the publisher
Ed Elson discusses Google’s massive bond sale with Gil Luria, Head of Technology Research at D.A. Davidson. They also break down why D.A. Davidson upgraded Oracle’s stock. Then, Ed is joined by Doug O’Laughlin, President of Semianalysis, to examine why memory stocks are doing so well right now. Finally, Ed gives his take on why people have started to turn on AI.
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