AI is transforming Big Tech from software giants into infrastructure companies
Microsoft, Amazon, Google, Meta and Oracle are spending hundreds of billions on data centers and AI infrastructure, forcing investors to rethink the economics of the technology giants.
U.S. hyperscalers are beginning to see returns from their massive artificial intelligence investments, but the rising cost of building out AI infrastructure is weighing on free cash flow, and investors are starting to take notice.
At their current trajectory, the so-called hyperscalers, Microsoft, Alphabet, Amazon, Meta Platforms and Oracle, are expected to spend more collectively on capital expenditures than they generate in free cash flow by 2027, according to a Reuters analysis of LSEG consensus estimates.
The companies are projected to generate approximately $340 billion more in annual operating cash flow in 2027 than in 2025, but capital expenditures are expected to rise by roughly $534 billion over the same period. That means the companies will require about $1.57 in additional investment for every $1 of additional cash flow generated.
As the companies begin reporting earnings, starting with Alphabet on Wednesday, investors will be watching whether the growth of cloud and AI revenues can justify the unprecedented spending spree. Recent stock performance suggests that concerns are mounting.
The hyperscalers have led the market rally since the launch of the AI investment boom, rising on expectations of strong future growth. However, over the past year, all but Alphabet have underperformed the S&P 500.
"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."
The capital expenditure estimates include all spending, not only AI-related investments, because companies generally do not disclose AI-specific expenditures separately. However, much of the spending on data centers, servers, networking equipment and cloud infrastructure is being driven by demand for AI services, executives have said.
The spending outlook is also changing rapidly. Consensus estimates for the five companies' combined capital expenditures this year have risen from approximately $485 billion in January to around $730 billion in July, according to LSEG.
There are signs that AI investments are beginning to generate returns. Microsoft has said its AI business has surpassed a $37 billion annual revenue run rate, while Amazon reported 28% growth at its AWS cloud division in the first quarter.
For investors, the central question is whether AI-related revenue growth will accelerate quickly enough to offset the massive infrastructure spending required to support it.
Microsoft reported $35.8 billion in operating cash flow in its fiscal second quarter while recording $37.5 billion in capital expenditures, including finance leases.
"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 said its trailing 12-month operating cash flow increased 30% to $148.5 billion in the first quarter, but free cash flow declined to just $1.2 billion.
Investors appear most concerned about Oracle, whose shares have fallen 36% this year as its free cash flow has turned negative. The company plans to raise $45 billion-$50 billion through debt and equity to finance its cloud infrastructure expansion.
Oracle's capital expenditures as a percentage of operating cash flow increased from 47% in fiscal 2022 to 174% in fiscal 2026, according to LSEG data. The company spent $55.7 billion on capital expenditures in its latest fiscal year, compared with $32 billion in operating cash flow.
So far, the other major technology companies have continued returning capital to shareholders. Microsoft, Alphabet and Meta generated enough free cash flow in their latest fiscal years to cover dividends and share buybacks, according to SEC filings.
However, buybacks could come under pressure if AI spending remains elevated and monetization takes longer than expected.
"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."
