Big Tech’s AI Boom Faces a $2 Trillion Cash-Flow Test

So far in 2026, AI-related capital spending has accounted for roughly one-fifth of U.S. economic growth as Big Tech’s investment surge takes on an increasingly important role in the economy.

The four largest hyperscalers — Alphabet (GOOG, GOOGL), Amazon (AMZN), Meta (META), and Microsoft (MSFT) — are expected to spend approximately $800 billion in capital expenditures this year, ten times their 2019 levels, according to Goldman Sachs.

Apollo chief economist Torsten Sløk says sustaining that investment will require a similarly historic expansion in the cash generated by the companies funding the buildout.

Over the past year, debt markets have become an increasingly important source of financing for the AI investment race. The hyperscalers are expected to issue $250 billion in global investment-grade debt by the end of 2026.

Although these companies have long been known as cash-generating powerhouses, the cost of AI infrastructure has put increasing pressure on their cash flows. In July, Alphabet reported its first quarterly negative free cash flow since its 2004 IPO.

Sløk argues that investors are accepting this strain because they expect the companies’ cash returns to rebound strongly. Wall Street’s consensus estimates project operating cash flow rising from $600 billion in 2025 to about $2 trillion in 2030, more than tripling over five years, according to Apollo Global Management data.

If that cash flow fails to materialize, Sløk warned clients, the economics supporting the market’s dominant growth engine could deteriorate quickly.

“If this doesn’t happen, the risk is that the AI trade weakens, credit spreads widen, capex plans get cut and, ultimately, U.S. GDP growth slows,” Sløk wrote to clients.

The market’s reliance on AI-related stocks became apparent Monday. Gains in hyperscaler Meta and semiconductor names Arm and Intel helped the Nasdaq Composite surge 2.3% to a record, while the S&P 500 rose 1.5%.

But the breadth of the rally was limited. Thirty S&P 500 stocks touched 52-week lows, compared with only seven that reached 52-week highs.

Morgan Stanley analysts led by chief equity strategist Michael Wilson see strong prospects for AI capital spending. They point to robust demand for compute, evidence that AI adopters are beginning to see returns from their investments, rising computer lease rates and the possibility of “material benefits to human welfare.”

Those trends could also provide a tailwind for hyperscaler operating cash flow as customers, particularly enterprises, increase their spending. Sløk says the health of the broader AI economy depends on sustaining that cycle.

“At the moment, what’s driving the U.S. economy is AI,” Sløk said. “The scale is still tilted toward growth, but headwinds are beginning to emerge as the risk of an economic slowdown becomes more pronounced, particularly as we move into 2027.”

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