Big Tech’s $650 Billion Bet on AI
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What is the significance of Big Tech's $650 billion investment in AI?
Big tech is spending big money, but is it gonna pay off? Motley Fool Money starts now.
Everybody needs money. That's why they call it money.
From Fool Global Headquarters, this is Motley Fool Money. Welcome to Motley Fool Money. I'm Travis Hoyum, joined today by Lou Whiteman and John Quast. And guys, big tech took center stage this week, and the conversation was all about capital expenditures between Meta, Microsoft, Alphabet, and Amazon. We got guidance for about $650 billion in in CapEx for 2026. A year ago, these companies weren't spending enough. Now the market is saying, whoa, whoa, whoa, we're going to spend this much? We're going to spend all of your operating cash flow? Lou, what do we take from this week? Because it seems like the numbers were so big that even the most bullish AI investors were shocked at how much money these companies are spending.
Let's double down on just how big that is. Let's get some perspective here. That's 650. Bloomberg says the largest U.S. automakers, construction manufacturers, railroads, aerospace companies, transports, and energy companies, 21 companies in all, they are going to spend a combined $200 billion, so less than a third of that in 2026. for 21 companies. It's also, ironically, 650 is about the combined loss of market cap by these big four post-earnings when they've announced this. Look, so here's the thing. How do we think about AI? I am not going to dispute the potential. I am not sure about the timeframe and I am scared about the economics. All three things are true. Yes, there is a potential for payoff, but what will that payoff be and how long will it take?
I think that's what the market is worried about. Also, You also have an opportunity cost here. $650 billion is a lot of money. Whether or not it's just all dividends buyback or inventing the next Waymo, something is not happening because of all of this capex spending, so it darn well better pay off. I think that's just really the question the market is asking is, will it actually pay off?
I want to come back to the payoff for the hyperscalers. But John, the first thing that I want to talk is, this rising tide seems to be lifting a number of similar boats, if you will, in the supply chain. And that is, look, if these companies are spending a ton of money, there's only a handful of companies they're going to be spending it with. Their revenue is obviously going to go up. Their margins are going to be good. That's really helping a lot of those companies, at least short-term. Are these semiconductor companies like NVIDIA, the ASMLs of the world, Micron, are these still going to be the winners, at least for the foreseeable future?
I love the question, Travis. The definite answer is, it's going to pay off for somebody. The question is, who? But one thing that we can say for sure is, we know that there is a lot of money going out from the hyperscalers.
What are the implications of the SaaS-pocalypse for software companies?
Some of them have even given us some pretty good details on exactly where the money is going. Alphabet, for example, spending about 60% of its capex on servers. If you look at 2026, it's going to spend over $100 billion on servers. Let's think that through. One of the leaders in this space is Dell. I know we don't talk about Dell very much, but it's a leader in servers. You look at this stock right now, trading at only 10 times its forward earnings. I wouldn't be surprised if Dell had a bumper year this year in 2026 with all the spending that these hyperscalers will put out on servers.
Lou, the other thing that seems to be coming into focus, at least in the market's mind, is that the disruption that we thought we were seeing coming six months to a year ago is particularly from OpenAI. We had that huge RPO number that came out from Oracle. I think $1.5 trillion in infrastructure to help OpenAI build out their ecosystem. Now that's getting flooded by these other companies that have the cash to keep investing. Are these big hyperscalers, the big tech companies that I mentioned, are they just trying to bludgeon these startups that could have potentially been the disruption to their business model?
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Chapters
8 chapters
1
What is the significance of Big Tech's $650 billion investment in AI?
0:05–3:26
2
What are the implications of the SaaS-pocalypse for software companies?
3:26–7:47
3
How are big tech companies strategizing to maintain market dominance?
7:47–10:48
4
What are the potential risks of AI overspending?
10:48–14:08
5
How are semiconductor companies positioned in the AI landscape?
14:08–18:21
6
What factors are influencing the performance of restaurant stocks?
18:21–22:41
7
Which companies are potential IPO candidates in 2026?
22:41–25:57
8
What stocks are currently on the radar for investment?
25:57–41:08