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AI Fatigue Triggers Worst Chip Stock Streak in 16 Months

Semiconductor stocks face their longest losing streak since May 2025 as investors demand concrete revenue returns on heavy AI spending.

By Muhamed Porić

October 19, 2026 at 1:11 PM

Photo by Ivan Chumak on Pexels

Semiconductor equities are sliding toward their steepest downward correction since May 2025 as institutional investors demand concrete revenue returns to justify multi-billion-dollar artificial intelligence infrastructure outlays.

As of October 13, 2026, the iShares Semiconductor ETF (SOXX) dropped for five consecutive trading sessions, marking the longest losing streak for the benchmark fund in 16 months.

"There are times when the market feels less like investing and more like casino gambling," said Hock Tan, Chief Executive Officer, Broadcom, in remarks regarding sector speculation on October 8, 2026.

Index Valuations and Bear Market Territory

The broader pullback has pushed a significant majority of hardware components into bear market territory. Among the 30 member companies comprising the PHLX Semiconductor Index (SOX), 22 equities are trading more than 20% below record peak valuations established during May and June 2026.

Market participants are increasingly scrutinizing whether enterprise software monetization can support the capital expenditures pouring into specialized silicon. According to a Financial Times report published October 8, 2026, OpenAI's annualized revenue run rate reached approximately $50 billion, trailing behind broader Wall Street expectations hovering near $70 billion.

Escalating Hyperscaler Capital Expenditure

The friction between market valuation and tangible returns coincides with aggressive spending forecasts among major cloud providers. Goldman Sachs projections indicate that United States hyperscaler capital expenditure will climb to approximately $800 billion across 2026 before accelerating further to $1.1 trillion in 2027.

This capital trajectory highlights the structural tension facing the technology sector. Hyperscalers continue expanding data center capacity to support foundational model training and inference workloads, and equity holders are pressing for accelerated monetization timelines as hardware depreciation cycles advance.

semiconductorsartificial intelligenceSOXXBroadcomGoldman Sachs
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Muhamed Porić

Founder and Editor of Embers.

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