The Trillion-Dollar AI Bet: What It Means for Hyperscaler Investors

Source Motley_fool

Key Points

  • Vanguard estimates that capital expenditures among the five hyperscalers will exceed $1 trillion annually from 2027 through 2030.

  • These companies, now becoming more capital-intensive, present investors with greater financial risk.

  • To justify the capital outlays, the AI economy needs to generate many trillions of dollars in yearly revenue, which likely means every consumer and enterprise uses the technology daily.

  • Motley Fool Issues Rare "Total Conviction" Buy Alert ›

It's hard to wrap your head around the amount of money that's flooding the artificial intelligence (AI) industry. According to research compiled by Vanguard, the five major hyperscalers, which includes Alphabet (NASDAQ: GOOGL) (NASDAQ: GOOG), Microsoft, Amazon, Meta Platforms (NASDAQ: META), and Oracle, will spend almost $780 billion on capital expenditures (capex) in 2026, up 87% year over year. This is just the start.

Over each of the following four years, from 2027 through 2030, that figure will exceed $1 trillion annually. This is more than 10 times greater than the combined capex of these five companies in 2020.

Missed AI’s "Act 1"? Act 2 Could Be 15x Bigger. Most investors think they missed the AI boat because they didn't buy Nvidia in 2005. But according to our analysts, we’re only at the end of "Act 1"—the R&D phase. "Act 2" is the global rollout. Continue »

The trillion-dollar AI experiment is happening right before our eyes. Here's what it means for hyperscaler investors.

Computer chip with AI written in the middle.

Image source: Getty Images.

Owning these stocks means taking on heightened financial risk

There's no doubt that these businesses present investors with more financial risk than at any point in recent history. As a group, their debt burdens are soaring. Alphabet and Meta Platforms provide a clear example.

As of June 30, Alphabet carried $98.2 billion in long-term debt. This was 568% higher than exactly four years ago, which was before OpenAI released ChatGPT.

As of June 30, Meta Platforms carried $83.7 billion in long-term debt. It had no debt on the balance sheet four years earlier.

That borrowing, of course, is going toward funding AI investments. The result of this capex is that free cash flow (FCF) is taking a huge hit. Alphabet reported negative FCF of $5.9 billion in Q2, while Meta Platforms' FCF fell 91% year over year. Analysts expect both businesses to burn cash in 2027.

At the same time, the leadership teams of these two internet pioneers have paused share buybacks. Capital returns to investors have been redirected to data centers.

The financial risk is high. Investors must be more patient than before.

A person using an AI chatbot on a smartphone.

Image source: Getty Images.

Nobody knows what comes next

The other side of the capex equation is return on invested capital (ROIC). The biggest question in the economy and markets is what payback investors in these five hyperscalers can expect from the unprecedented spending that's taking place. Timing is also a huge unknown variable. It wouldn't be a surprise to see ROIC come down as these companies transition from capital-light enterprises to capital-intensive ones.

It doesn't matter what the experts predict. No one knows how this will all play out. History provides some context.

During the spending booms that occurred in the 1870s (railroads), the 1920s (electricity), and the 1990s (telecom), the result was overbuilt capacity that resulted in a bust. The infrastructure didn't go to waste, however. It was eventually used to enable the creation of entirely new businesses, products, and services that weren't possible before.

That's not a prediction that a bust will or won't happen this time around. But it's important to know what history tells us.

Investors shouldn't be surprised if adequate returns, expressed as positive and rapidly growing FCF, take longer than expected to arrive. Moreover, it's possible that most of the value eventually moves away from the hyperscalers, whose cloud platforms could become commodities, toward businesses that dominate the market for differentiated end-customer products and services.

Bain & Company estimates that "by 2031, annual spending on AI infrastructure could reach $1.5 trillion." Based on a 25% capex-to-revenue ratio, the consulting firm calculates that the AI economy will need to generate $6 trillion in revenue yearly to justify the capital outlays. About two-thirds of that $6 trillion is projected to come from innovation that doesn't yet exist.

A successful outcome likely means that nearly every business and consumer uses AI in their daily lives within the next five years. If you own any of these five hyperscaler stocks, that's the future that you're betting on. This is something investors can't afford to overlook.

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Neil Patel has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet, Amazon, Meta Platforms, Microsoft, and Oracle. The Motley Fool has a disclosure policy.

Disclaimer: For information purposes only. Past performance is not indicative of future results.
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