Investors nervous about AI spending slowdown after industry warnings

Reuters | September 15, 2026 at 05:10 AM UTC
Bearish 79% Confidence Unanimous Agreement
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Key Points

  • AI hyperscalers (Microsoft, Alphabet, Amazon, Meta, Oracle) are projected to spend $795 billion in capital expenditures this year and nearly $1.08 trillion by 2027, according to BofA Global Research
  • The Philadelphia SE Semiconductor Index remains up nearly 60% in 2026 despite Monday's selloff, with semiconductor firms most exposed to potential slowdowns in AI capability improvements
  • Analysts warn that AI stocks have 'virtually zero margin of error' for an industry slowdown, especially as markets face higher bond yields, rising oil prices, and potential Fed interest rate hikes to combat inflation

AI Summary

Summary: AI Spending Slowdown Concerns Rattle Markets

Key Development: Investors are growing nervous about the sustainability of AI-driven market gains after industry leaders, including Anthropic CEO Dario Amodei, called for slowing AI development to manage safety risks. The warnings have particularly impacted semiconductor stocks, though major indices remain near all-time highs.

Market Impact

  • The S&P 500 has gained over 11% in 2026, more than doubling since the October 2022 bull market began, largely fueled by AI-related spending
  • The Philadelphia SE Semiconductor Index remains up nearly 60% in 2026 despite Monday's selloff
  • Markets are "punishing the picks-and-shovels layer harder than the hyperscalers" due to exposure to capability improvement slowdowns

Spending Figures

  • AI hyperscalers (Microsoft, Alphabet, Amazon, Meta, Oracle) expected to spend approximately $795 billion in 2026 capital expenditures
  • Projected capex to reach nearly $800 billion in 2026 and $1.08 trillion by 2027, according to BofA Global Research

Key Concerns

  • Potential order cancellations and data center construction deals being scrapped
  • Regulatory overreaction risks, despite President Trump calling AI dangers a "hoax"
  • Valuation questions for OpenAI and Anthropic, both expected to pursue future sales
  • Reminiscent of early 2025's DeepSeek incident, which temporarily rattled AI infrastructure spending confidence

Broader Context: Market vulnerability is compounded by higher bond yields, rising oil prices, and potential Federal Reserve interest rate increases. Analysts note AI stocks have "priced in an uninterrupted capex boom, leaving virtually zero margin of error," making them exposed to macro headwinds if growth momentum falters.

Model Analysis Breakdown

Model Sentiment Confidence
GPT-5-mini Bearish 80%
Claude 4.5 Haiku Bearish 78%
Gemini 2.5 Flash Bearish 80%
Consensus Bearish 79%