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Big Tech’s AI spending is catching up with its cash flow

July 22, 2026 Emily Chen Clock

Big Tech's AI Spending: Catching Up with Cash Flow

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Deep tech | Sustainability | Ecosystems | Data and security | Fintech and ecommerce | Future of work

July 22, 2026 - 8:15 am

(Image by: Canva)

The four largest US technology companies are poised to spend approximately $700 billion on artificial intelligence infrastructure in 2026, significantly impacting their free cash flow.

Analysis by Reuters

According to a report by Reuters, combined capital spending across major cloud operators is set to surpass the cash generated by their core businesses this year.

Key Findings:

  • Wall Street Consensus: AI capex estimates have risen from $485 billion in January to around $730 billion by July 2026.
  • Amazon's Example: Amazon's free cash flow fell to $1.2 billion in Q1 2026, compared to $26 billion a year earlier, despite an increase in operating cash flow to $148.5 billion.
  • Capital vs Cash Flow: Epoch AI projects that hyperscaler capex is growing at approximately 70% annually, while operating cash flow increases by about 23%. This trend suggests aggregate spending will likely overtake operating cash flow in Q3 2026.
  • The Discrepancy: Reuters highlights the gap: between 2025 and 2027, capital expenditure across Microsoft, Alphabet, Amazon, Meta, and Oracle is expected to reach $534 billion, compared to a $340 billion increase in operating cash flow.

Specifics by Company:

  • Microsoft: Guided towards approximately $190 billion for 2026, with capital spending of $37.5 billion against $35.8 billion in operating cash flow.
  • Alphabet and Meta: Both still generate enough cash to cover dividends and buybacks. Meta plans to spend up to $145 billion in 2026.
  • Oracle: Has the highest capex as a percentage of operating cash flow (174% in fiscal 2026), with a negative free cash flow. Oracle's credit rating is one notch above junk, and they plan to raise up to $50 billion.

The Shift:

Most hyperscalers have turned to external financing for their AI build-out, including bond markets, to bridge the gap between capex and operational cash flow.

The Question:

Investors wonder if this significant spending will pay off in the long run.

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