Big Tech AI spending is rising rapidly as leading technology companies continue expanding their artificial intelligence infrastructure. While AI is generating new revenue opportunities, the increasing cost of building AI platforms is putting pressure on free cash flow and raising concerns among investors.

According to a Reuters analysis of LSEG consensus estimates, five major U.S. hyperscalers, Microsoft, Alphabet, Amazon, Meta Platforms, and Oracle, are expected to spend more on capital expenditures (capex) than they generate in free cash flow by 2027.

The analysis estimates that these companies will generate around $340 billion in additional annual operating cash flow between 2025 and 2027. However, their combined capital expenditure is expected to increase by nearly $534 billion during the same period. This means they are projected to invest about $1.57 for every $1 of additional operating cash flow.

Meanwhile, investors will closely watch upcoming earnings reports, beginning with Alphabet, to see whether revenue from AI and cloud services can keep pace with the sharp rise in spending.

Although hyperscalers have driven much of the market’s AI rally, investor confidence has weakened over the past year. Except for Alphabet, the shares of the five companies have underperformed the S&P 500.

Shay Boloor, Chief Market Strategist at Futurum Equities, said investors may be underestimating how AI is changing the business models of major technology companies.

He explained that these firms were traditionally valued as asset-light businesses because revenue grew faster than infrastructure costs. However, AI is shifting them toward a model where software, cloud services, and advertising increasingly depend on large investments in physical infrastructure.

The reported capex figures include all company investments, not only AI spending, because the companies do not separately disclose AI-related expenditure. However, executives have said that much of the spending on data centers, servers, networking equipment, and cloud infrastructure is being driven by AI demand.

In addition, spending estimates continue to increase. LSEG data shows that consensus forecasts for the combined 2026 capital expenditure of the five companies have risen from about $485 billion in January to nearly $730 billion in July.

Even so, there are signs that AI investments are beginning to deliver results.

Microsoft said its AI business has reached an annual revenue run rate of more than $37 billion. Similarly, Amazon reported 28% growth in its AWS cloud business during the first quarter.

Despite these gains, concerns remain over whether AI-generated revenue will continue to grow fast enough to support rising infrastructure costs.

For example, Microsoft reported $35.8 billion in operating cash flow during its fiscal second quarter, while capital expenditure, including finance leases, reached $37.5 billion.

David Russell, Global Head of Market Strategy at TradeStation, said earnings growth alone may not justify investment if capital expenditure continues reducing available cash. He noted that companies ultimately need to generate profits rather than simply increase spending.

Likewise, Amazon reported a 30% increase in trailing 12-month operating cash flow to $148.5 billion during the first quarter. However, its free cash flow declined to just $1.2 billion.

Among the five companies, investors appear to be most concerned about Oracle. The company’s shares have fallen 36% this year after its free cash flow turned negative. Oracle also plans to raise between $45 billion and $50 billion through debt and equity to finance further cloud infrastructure expansion.

According to LSEG data, Oracle’s capital expenditure increased from 47% of operating cash flow in fiscal 2022 to 174% in fiscal 2026, which ended in May. During its latest fiscal year, Oracle spent $55.7 billion on capital expenditure while generating $32 billion in operating cash flow.

On the other hand, Microsoft, Alphabet, and Meta continued generating enough free cash flow in their latest fiscal years to fund dividends and share buybacks, according to SEC filings.

However, analysts warn that buyback programs could come under pressure if infrastructure spending remains high and AI monetization takes longer than expected.

Freddy Lavric, Senior Trader at Winthrop Capital Management, said companies must demonstrate over the next two to three years that AI is increasing revenue, improving margins, and strengthening cash flow. Otherwise, investors may begin questioning whether Big Tech AI spending has become excessive.

As AI adoption continues to accelerate, Big Tech AI spending will remain a key indicator for investors evaluating whether massive infrastructure investments can deliver sustainable financial returns.

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