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Why does one of the most profitable companies in the world need more money? Motley Fool Hidden Gems Investing starts now. Welcome to Motley Fool Hidden Gems Investing. I'm Travis Hoy. I'm joined today by Lou Whiteman and Tyler Crowe. And guys, one of the stranger news announcements this week was that Alphabet announced that they are raising another $80 billion. What got attention was that 10 billion of that is going to come from Berkshire Hathaway. But as NeoClouds and Oracle and even some of the other hyperscalers are taking on more and more debt to fund this AI buildout which is now moving past the operating cash that they're generating from their business, even, even Alphabet might pass that in 2026. They need more money. And Tyler Alphabet said, hey, we want to sell equity, not debt. So this is just kind of an interesting move from them.
B
I think there's a little bit of like, we've been watching too many industry and business related television shows like Succession, where all we're thinking like strategy, like how can we really stick it to these other players. But let's be honest, they're just looking at the numbers and being like, we need more money. We're not trying to like necessarily beat somebody more so than the other. The first thing is the bottom line first. And I think this is really the case when it comes to this deal with Google raising $80 billion because just some rough numbers. I think their current capex is somewhere in like 170 billion dollar range for 2026, 2027 is probably going to be more and they're bringing in 175 billion in operating cash over the past 12 months. So if you're going to obviously do more, you're going to, you're going to go past your operating cash flow. And I think this is getting ahead of that. They're obviously probably not going to go $80 billion over in a single year. This is probably like a. Yeah, let's get a little bit of a cash cushion, get ahead of it. We've got a decently priced stock right now and this will be a good time to do it. We'll get Berkshire involved. It'll make us, it'll make it a little bit easier. And they've got things like that big anthropic deal that they signed last year. So there is demand for what they want to build.
A
Yeah, when we look at some of these deals, I mean, anthropic just raised $65 billion. You know, they're selling several percentages of their company. 6, 7% of the company to, to raise that kind of money. Louis, this is 2% of Alphabet, so it's not all that dilutive. And it does keep that flexibility on the balance sheet like Tyler said. I mean, there is debt on the balance sheet, but they still have a net cash balance on the balance sheet. So, you know, is this the kind of thing that you like as those bills for the AI build out keep going up, or would you rather have them use debt?
C
Yeah. Now Tyler, first of all, two things can be true, okay? This can both be that they need money and they are smiling and waving at SpaceX as they prepare for an.
A
Yeah, this did come before the SpaceX IPO before we heard, I think hours afterwards.
C
Yeah, it's basically the same amount. I mean, part of it is just like every other company, striking while the iron is hot, probably too for the excitement around it. But look, I think that they have a compelling story to tell relative to those startups. So why not get your story out there? I think Tyler said it right with very little dilution. This is the time where you do use equity when your stock is highly valued. And so to raise money this way, I think makes sense. Travis, he hit on. I think maybe the most interesting thing about this for even, I think among the best of these companies, even the cash generation machine, last year's bull story is now over. Because last year at this time, all of this spending was justified as it's not 1999 all over again. They can fund this from operations, they can fund this from their cash. That is simply no longer the case. So that's over. The good news is that these are massive, well capitalized companies that have a lot of options. So it's not like I'm, I'm not trying to say the sky is falling. I do have questions, but you know, I, I think this is the smart move is that look, this is really, really expensive. Strike while it's hot.
A
All right, pop quiz. Out of the hyperscalers that are spending hundreds of billions of dollars on this AI build out in the Neo clouds, what is the one other company that has a net cash balance? Do you, you guys know it is Microsoft only the only other one of these companies, Amazon, net debt of about $67 billion. And then all, obviously all the Neo clouds, you know, Nebius, Coreweave, Irin, they're all Oracle. A ton of debt. So debt is really fueling most of this. This is going to put Alphabet in a very different position. Tyler, what does this say about the return on investment that they're potentially seeing. And this is one of the things I think we, we're kind of trying to draw conclusions that are hard to draw today because you look at the GCP numbers within Google Cloud, those are phenomenal. But the $180 billion that you mentioned that they're spending this year to do this AI build out, very little of that is actually contributing revenue today. It's going to be next year, the year after. If token prices start to come down, which they've actually gone up recently, the economics could change. So what does this at least indicate about what they're seeing about the ROI for the business?
B
I feel like that's a great question I don't have a great answer to. I'm kind of throwing out into the wind here because. But that's the case with all of AI, right, where we can see that some tangible benefits, I mean, you know, use here in the, at Motley fool, using Claude and ChatGPT and several other products much more prominently in our kind of everyday workflows. So we see like the use cases, however, the economics of what those businesses are doing is a little bit questionable for the hyperscalers. You know, one thing that you can at least rely on to a certain degree is companies like Anthropic are pledging large amounts of money to them for renting this stuff. And just to use the SpaceX example that you were mentioning earlier, as part of the S1 for SpaceX, that deal actually said that Anthropic is going to pay them. I think it's $1.25 billion a month for compute power. And so it shows like there is a monetizable way of doing this. And it's not just some, hey, we don't really know what it's going to work with. There are actual revenue numbers you can put behind the compute. And so similar to that, the Anthropic deal that they signed was something like $200 billion worth of compute power over the next five years. So.
A
But I want to push you on that. You and I have both been following energy for a very long time. If you go back to one of the massive growth stories of the 2010s, it was the solar industry, right? Solar installations exploded and there were companies that were supply constrained manufacturers that were supply constrained of silicon. So they needed to get silicon. How do you do that? You sign a long term contract with these suppliers to get silicon. The problem was for these companies, they signed a contract for four or five years to get this silicon at a certain price. And then the price collapsed. And so suddenly you have a contract for, I don't know, let's say $100 a pound. I'm making up these numbers here, but the spot price is $5 a pound. Suddenly you're losing your shirt. So this is, this is what I really struggle with is what are the long term economics? Because yes, that anthropic deal is great for, for Google because they have contract and we could go with Core Weave or Iron or any of these companies, but eventually the economics doesn't work for somebody and we don't know exactly who that's going to be. Does that ring a bell to you, Tyler, having gone through some of this with that? And you could go to the drilling companies in energy, this kind of happens over and over again.
B
I almost feel like we might be stepping on some stuff we're going to talk about later on this. But it is kind of this idea of what we're doing at the current pace doesn't necessarily work. There's some incongruencies here. And to that point, yes, we could see compute power costs go way down for reasons xyz, but there's also the possibility of algorithm efficiencies. Right now all of these companies are incented to put out the best product and kind of compute power be damned. Eventually it's going to come down to a cost per token, know efficiency from the actual computing that you're doing with these algorithms that will incent these companies to, you know, be within the range or try to bring down their cost commensurate what, what they're going to see with compute power.
C
To your point though, I would love to see the contracts because it could be the other way too. Like how, how, how rock solid is this future revenue? What are the escape clauses? Yeah, but it does feel like there's a tension there. Here's what I'll say though. And this is kind of the silver lining. I'm confused by roi. I don't see it. But having Berkshire along for the ride is a pretty good signaling tool, whether it's right or not. You know, maybe Greg Abel, his legacy will be he's just a, you know, LOL day trader, nothing matters. And he's just jumping in on a momentum deal. But I doubt it. And Berkshire with its kind of Good Housekeeping seal of approval, seeing a path to value here, seeing something there, you know, as things go and especially as everyone's competing, as I said at the top, that's a pretty good endorsement. So I mean, maybe if Berkshire sees The reason to believe we should too.
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When we come back, we're going to get to the supplier. Whack a mole. Who are these companies paying for all of this? Compute. Why are Dell and HP two of the hottest names on the market? You're listening to Motley Fool, Hidden Gems Investing.
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Hey, Fidelity. What's it cost to invest with the Fidelity app? Start with as little as $1 with no account fees or trade commissions on US stocks and ETFs. Hmm, that's music to my ears. I can only talk.
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fool and Gems Investing. What's been crazy this year is how much we have gone from supply constrained environment to supply constrained environment. All these companies have explosive growth. And the next growth story, apparently Tyler, is these old companies that have been around forever. Dell and hp, HP Enterprise, they are on fire right now. But when you look in the growth and valuation of these companies, what excites you about this segment of that supplier space? Because it seems like, you know, memory was hot. Now it, it's just going up and down the gamut.
B
Yeah. To me this is a little like this isn't just the tide that raises all boats. This is the tsunami that is bringing everyone 30ft up higher than they thought they were going to go.
A
It's not a bubble, it's a tsunami. I like that.
B
Yeah. It's like just think about again, we're talking about Alphabet spending like 180 to 200 billion dollars this year. If we're going to take the over or under of how many revisions up there we're going to see on their capex, it's going up 20, 27, it's going up. They're raising more money to go higher. All of them are going higher. Meta's doing weird off balance sheet stuff so they can go higher. It's not, it almost is to the point where it's not like we need to get the best equipment to make this happen. It's like grab every spare part you can and slap it together and get some sort of compute power available. I'm sure that a lot of these like neo clouds and some of these, you know, fly by night operations are just grabbing whatever they can to make some sort of profit or make some sort of return supplying this compute, which does appear to be constrained. You know, Anthropic has said for a while that they are supply constrained when it comes to compute. Compute. ChatGPT not quite sure there because they spent loads of money before that for the compute. So to me this is not necessarily a case of like, oh yeah, these companies are all doing awesome. It just, I think it points to the desperation that all these companies are going towards to make sure that they have enough equipment in the ground when these contracts are supposed to come due. I don't know if I'm necessarily excited by that because this is, you know, you think of it almost like a post hurricane. I know I just use Tsunami, but you know, that kind of time where like supplies are so constrained that prices go up infinitely and whatever you can get your hands on is effective. And this, that's kind of what this feels like. It's, you know, you don't see some discernment of like, oh, Nvidia's got the better stuff. We're just going to use Nvidia. It's like, no, we'll take some low end processor just as long as it will actually compute something. Yeah.
A
Lou, I think this to go to our ROI point for Alphabet. This is what makes this also confusing because if you look at their revision last quarter, they revised their capex number a little bit higher but they basically said, hey, we're not going to get any more compute, we're just getting less compute for more money. That's flowing down to some of these suppliers. But you would think eventually, eventually he's doing a lot of work there. But eventually there is some sort of supply, demand balance and the commodity companies become commodity companies again, which can be a really good business. But it doesn't necessarily mean they're going to be rocket stocks like they are today.
C
Yeah, and it tends to be like the longer we go through these cycles, the more our attention span goes quickly. So we'll see how sustainable these are. You know, no one's talking about Micron anymore because of HP Enterprises it feels like. But I think what we're all dancing around or dance around and I think, you know, we're not, it's because it's hard. I don't think any of us know the answer here, but there is just this weird tension where all of these stocks are based on projections that hyperscaler spending will continue basically through the end of the decade. With Micron, it was through 2029. The order book is filled. And at the same time, corporate America is starting to talk about measuring ROI on AI instead of just throwing as much of it at the wall to see what sticks and put it in your conference call. If both of those things are true, then how are the hyperscalers holding up so well? You know, like, how can everybody win here? Things are going to be massively expensive. Pricing power may not, or there's, there's just pushback on pricing power improving. And yet the ones both spending the money and providing the service are winners here. It feels like not all of those things can be true. And I don't think any of us know which part breaks or how or, you know, how this, how the, the maths resolve here.
A
Yeah, I saw an interview with an IBM executive this week and he was making the argument that this is not a bubble because there's so much demand. And then Go went on to explain that, you know, if there's 10 or 15 suppliers, well, not all those suppliers are going to survive. It's just going to be two or three that are going to survive. And I was thinking that's exactly what a bubble is. So.
C
But. Well, here's the other part though. It is not over by a long shot. And I don't want to name the company because I don't want to start this, but I just got a research note yesterday about an auto parts company where the analyst is basically projecting revenue to I think like a 20% CAGR. As soon as the market realizes that you can retrofit their parts into gas turbines for data centers. You know, I'm not predicting that's what's going to happen, but that is, that doesn't imply to me that we are getting out of silly season anytime soon.
A
Yeah, it shows the level of desperation
B
to that one as well. Just in the wild stories of all of a sudden becoming AI compute supplies, there's a jet engine servicing company that owns some turbines that they also lease out to planes. And like, hey, we can start leasing these out to AI data centers and we can make way more money. So it's just like it's all coming out of the way woodwork now in the weirdest of places.
A
Well, it's a good time to be a supplier of anything in AI. Today when we come back, we're going to change directions here a little bit and talk about the future of Bitcoin. You're listening to Motley Fool, Hidden Gems Investing,
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welcome back to Motley Fool. Hidden Gems Investing Every four years, bitcoin drops like a rock. Last time it did was 2022, so right on Q, it's falling. But this time it's micro strategy that is causing some of the consternation. Michael Sailor's firm, who, you know, has really made his name being the loudest bitcoin bull in the room, they have deployed a strategy called Bitcoin yield that involves selling debt and equity to buy more Bitcoin. As long as your net asset value of your of your equity is higher than the value of the Bitcoin that each share holds, that works. But Lou, this is starting to kind of come undone. That premium has started to come down. They have to pay down debt and dividends and things like that and now they're actually selling some bitcoin. So is this, is this, you know, don't call it a Ponzi scheme kind of over for them.
C
So first of all, that four years thing, Come on. Carl Jung called. Okay, like we do not have enough. That is a coincidence until we see seven or eight more patterns. But yeah, that's happening, right? Look, Saylor's plan reminds me of a lot of option strategies. It works as long as the underlying asset you're looking at only goes in one direction and the second it doesn't, you figure out why isn't everyone doing this to. Oh, this is why not everyone is doing this. This thing to me here is, you know, Saylor, if only he hadn't gone full on evangelist because if they would have been willing to manage this at the first sign of cracks, they could have kind of unwound this orderly. But no, he is the evangelist for bitcoin. So therefore he will never sell. He is going to be the hands that never sell. He kicked the can and now he's paying the toll for that. I don't know what this means for bitcoin. I think it's important to separate Michael Saylor from Bitcoin. But, but I will say that if I, if I was interested in bitcoin, I would definitely be waiting for this to play out. We don't, we don't want to catch this falling knife simply because we don't know how many of, how many things are going to break if and when this strategy unwinds.
A
Tyler, what kind of analogies are there to this business model that they've instituted that may or may not work in real corporate finance?
B
I think it depends on how generous you are with your interpretation of what this is. If I was being most generous, and to Lou's point of if you're not in an evangelical and you're just like, you know, managing an asset, you could kind of almost like draw the line of this being like a mortgage reap, where you basically like, buy and sell mortgages, you issue equity and debt when your price is higher than your net asset values. And then when you're trading at a discount to that, you sell down some of your net assets to.
A
So basically you have to be willing to sell under that under those.
B
Yeah.
A
Conditions.
B
It's, it's the. It's playing both assets to what is at a premium at any given moment. And that, you know, it happens in other industries. It happens a lot in the finance industry. It happens in real estate, happens in commodities trading all the time. It's, you know, trading one asset based on value or discount to the other. That works. Unless to lose point, you're an evangelical who says, I'm never going to sell this because, you know, you say bitcoin yield, but bitcoin doesn't yield anything.
A
Right.
B
The price goes up, the price goes down, you're going to have to pay cash somewhere. And that's going to either come from issuing equity or selling your position. That's where it gets really complicated here. Because unless they're actually willing to be like, yeah, we're just a asset manager, basically, it would make sense. The point that I think is making it so challenging is it's not just like selling equity or buying down equity. You start adding in debt, you start adding in dividends, it becomes a little bit more complicated. Right now, I wouldn't say that MicroStrategy is in, like, some huge distress here. I think they still traded a little bit of a premium to net asset value. At least this is according to their website. How trustworthy that is, I don't know. That's not like something you have to report. And the SEC is going to tis tsk you if you're not doing it completely right. So as of right now, it doesn't look like it's a massive panic moment. But considering the trend that they've seen in the net asset value to their valuation, it would make sense to use that premium price or whatever to kind of shore up the balance sheet at this point. So again, this is being generous and not thinking that this is the weirdest, possibly one of the dumber things I think I've seen on Wall Street.
C
Definitely dumb in hindsight. Now I think there was a case for it back in the day when a lot of people couldn't buy bitcoin and there weren't other instruments and this was a pass through entity. This is a way to buy bitcoin wrapped in an equities envelope. Kind of those days have changed and if there was a case to be made for it, then that case is now gone. And yeah, Tyler said this is a very simple game. If your bitcoin that you hold is worth less than your stock, you do one thing. If it's worth more than your stock, you do the other. You have to be willing to do both of it. You know, worst case is they liquidate, which isn't great for the people on the payroll there, but there should be a there there. The issue is though, if they do get serious about this and have to start liquidating, Bitcoin's all already down, how much further can it go? And that's why again, I just, even if you're interested in it, stay I, I think extreme caution for now while this plays out.
A
Leverage complicates any everything, especially when you're buying an asset that you're expecting to either have an ROI or appreciate in the future. So maybe to bring things full circle, Alphabet has it right. They're taking the lowrisk approach, as always. People on the program may have interest in the stocks they talk about in the Motley Pool may have formal recommendations for or against. So don't buy or sell stocks based solely on what you hear. All personal finance content follows the Motley Pool's editorial standards and is not approved by advertisers. Advertisements are sponsored content and provided for informational purposes only. To see our full advertising disclosure, please check out our show notes for Lou Whiteman, Tyler Crowe and Dan Boyd. Behind the glass, I'm Travis Hoyam. Thanks for listening. We'll see you here tomorrow.
Motley Fool Hidden Gems Investing: "Alphabet’s $80 Billion Flex"
Episode Overview (June 3, 2026) This episode dives deep into Alphabet’s surprising $80 billion funding move—why one of the most profitable companies on earth is raising so much capital (including $10 billion from Berkshire Hathaway), and what it signals about the AI build-out race among tech giants. The Motley Fool team—Travis Hoy (host), Lou Whiteman, and Tyler Crowe—analyze the motivations, strategy, and ramifications for investors, with additional discussion on hyper-inflated AI supplier valuations and a segment on the precarious state of Bitcoin, especially MicroStrategy’s leveraged "Bitcoin yield" strategy.
Background and News Context
“One of the stranger news announcements this week was that Alphabet announced that they are raising another $80 billion… even Alphabet might pass [cash coverage] in 2026.”
– Travis Hoy (00:02)
“This is probably like a—yeah, let’s get a little bit of a cash cushion, get ahead of it. We’ve got a decently priced stock right now and this will be a good time to do it.”
– Tyler Crowe (00:53)
“This is 2% of Alphabet, so it’s not all that dilutive. And it does keep that flexibility on the balance sheet...”
– Travis Hoy (02:06)
“Out of the hyperscalers... what is the one other company that has a net cash balance?... It is Microsoft; only the only other one of these companies. Amazon, net debt of about $67 billion.”
– Travis Hoy (04:04)
“We can see some tangible benefits… but the economics of what those businesses are doing is a little bit questionable for the hyperscalers.”
– Tyler Crowe (05:24)
“This isn't just the tide that raises all boats. This is the tsunami…”
– Tyler Crowe (10:54)
Why Are Old-School Suppliers So Hot?
“It’s not like we need to get the best equipment to make this happen. It’s like, grab every spare part you can and slap it together...”
– Tyler Crowe (11:09)
Cyclicality and Sustainability Worries
“If both of those things are true... how can everybody win here? Things are going to be massively expensive... it feels like not all of those things can be true.”
– Lou Whiteman (13:32)
Segment shift at [16:55].
“Saylor’s plan reminds me of a lot of option strategies… it works as long as the underlying asset you’re looking at only goes in one direction and the second it doesn’t, you figure out why isn’t everyone doing this.”
– Lou Whiteman (17:50)
“It’s the... playing both assets to what is at a premium at any given moment. ... Unless they’re actually willing to be like, yeah, we’re just a asset manager... it becomes a little bit more complicated. Right now, I wouldn’t say MicroStrategy is in, like, some huge distress ... but considering the trend... it would make sense to use that premium price or whatever to kind of shore up the balance sheet at this point.”
– Tyler Crowe (20:27–21:42)
“[AI supplier boom] isn’t just the tide that raises all boats. This is the tsunami that is bringing everyone 30ft up higher than they thought they were going to go.”
– Tyler Crowe (10:54)
“Strike while it’s hot.”
– Lou Whiteman, on Alphabet’s capital raise (04:04)
“Last year’s bull story is now over. ... They can fund this from their operations... That is simply no longer the case.”
– Lou Whiteman (03:28)
“Having Berkshire along for the ride is a pretty good signaling tool...”
– Lou Whiteman, on Berkshire’s $10B investment signaling confidence (08:41)
“You don’t see some discernment of like, oh Nvidia’s got the better stuff… no, we'll take some low end processor just as long as it will actually compute something.”
– Tyler Crowe (12:28)
“[MicroStrategy] works as long as the underlying asset... only goes in one direction and the second it doesn’t, you figure out why isn't everyone doing this.”
– Lou Whiteman (17:50)
The discussion is analytical but wry and candid, with a skeptical eye toward hype—whether around AI capital spending or speculative crypto models. The trio ground their observations in market history, poke some fun at each other (and at market mania), and maintain a conversational, sometimes irreverent, investor-first tone.
Overall Takeaway:
Alphabet’s $80B raise signals the end of “fund it from cash flow” for the AI buildout, but their strategy—equity over debt, minimal dilution, and Berkshire’s backing—shows prudence. Meanwhile, AI suppliers are surfing an unsustainable tsunami of demand, and the risks around highly-leveraged bets, whether on AI infrastructure or bitcoin, are rising. Investors should question whether hypergrowth spending and returns are sustainable, and remember: when everyone is winning, somebody could soon lose.