America’s biggest technology companies are beginning to see returns from their artificial intelligence investments, but the enormous cost of building out that infrastructure is putting a serious strain on their finances — and Wall Street is paying close attention.
A Reuters analysis of LSEG consensus estimates finds that the group of companies known as “hyperscalers” — Microsoft, Alphabet, Amazon, Meta Platforms, and Oracle — are on track to collectively spend more on capital expenditures than they bring in through free cash flow by 2027.
The numbers tell a striking story: those five companies are expected to generate roughly $340 billion more in annual operating cash flow in 2027 compared to 2025. But capital spending is projected to climb by about $534 billion over that same period — meaning for every additional dollar of cash flow generated, these companies will be spending approximately $1.57 in new investment.
As earnings season gets underway — beginning with Alphabet — investors will be scrutinizing whether the rapid growth in cloud and AI revenue can match the pace of spending. Recent stock performance hints at growing unease. Over the past year, every hyperscaler except Alphabet has lagged behind the broader S&P 500, despite these companies leading the market rally when the AI buildout first began.
“Investors are underestimating how fundamentally AI is changing the Big Tech business model,” said Shay Boloor, chief market strategist at Futurum Equities. “These companies were historically valued as asset-light platforms because revenue could scale much faster than capital requirements, but AI is pushing them toward a hybrid model where software, advertising and cloud economics increasingly depend on enormous physical infrastructure spending.”
It’s worth noting that the capital expenditure figures cover all company spending — not just AI-specific outlays — because these firms don’t consistently break out AI investment separately. However, executives have said that spending on data centers, servers, networking equipment, and cloud infrastructure is largely being driven by AI demand.
The spending projections have also been moving upward rapidly. LSEG data shows that current-year capex estimates for the five companies jumped from around $485 billion in January to approximately $730 billion by July.
There are some encouraging signs that AI is beginning to pay off. Microsoft has reported that its AI business has surpassed a $37 billion annual revenue run rate, and Amazon posted 28% growth at its AWS cloud division in the first quarter.
Even so, investors remain worried about what happens if AI-related cash generation stumbles while spending keeps climbing. Microsoft reported $35.8 billion in operating cash flow during its fiscal second quarter, but recorded $37.5 billion in capital expenditures — including finance leases — meaning spending exceeded what came in.
“Earnings growth may not be enough to justify investment if capex is depleting cash. Companies exist to make money, not spend money,” said David Russell, global head of market strategy at TradeStation.
Amazon reported that its trailing 12-month operating cash flow rose 30% to $148.5 billion in the first quarter, yet free cash flow dropped sharply to just $1.2 billion.
Oracle has drawn the most concern from investors. Its shares have dropped 36% so far this year as its free cash flow has turned negative. According to LSEG data, Oracle’s capital expenditures as a percentage of operating cash flow climbed from 47% in fiscal 2022 all the way to 174% for fiscal 2026, which ended in May. The company spent $55.7 billion in capex in its most recent fiscal year against operating cash flow of $32 billion, and it plans to raise between $45 billion and $50 billion through debt and equity to fund further cloud infrastructure expansion.
By contrast, Microsoft, Alphabet, and Meta have so far managed to generate enough free cash flow to cover dividends and stock buybacks in their most recent fiscal years, according to SEC filings. But those shareholder returns could be at risk if spending stays elevated and AI revenue takes longer than expected to materialize.
“Over the next two to three years, companies need to show that AI is driving incremental revenue, expanding margins and improving cash flow,” said Freddy Lavric, senior trader at Winthrop Capital Management. “If those financial benefits aren’t becoming evident by then, the market will start questioning whether the investment cycle has gone too far.”
