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"Broadcom Chief’s AI Bubble Warning Triggers Global Tech Selloff"

Global artificial intelligence shares came under heavy pressure after Broadcom Chief Executive Hock Tan warned that some investors are treating the sector like a casino, stoking fears that valuations have run ahead of fundamentals. His remarks, including doubts over OpenAI’s long-term profitability despite rapid revenue growth, intensified concern that the AI boom may be entering a more fragile phase. The selloff rippled across Asia, with Japan’s Nikkei and South Korea’s Kospi lower, even as Indian IT stocks drew support from the broader rotation away from high-priced technology names.

Broadcom Chief’s AI Bubble Warning Triggers Global Tech Selloff

R

RDU Global Wire

Markets & Wealth Desk

New Delhi, India 13 Oct 2026, 02:41 PM IST•5 min read

Global artificial intelligence shares came under heavy pressure after Broadcom Chief Executive Hock Tan warned that some investors are treating the sector like a casino, stoking fears that valuations have run ahead of fundamentals. His remarks, including doubts over OpenAI’s long-term profitability despite rapid revenue growth, intensified concern that the AI boom may be entering a more fragile phase. The selloff rippled across Asia, with Japan’s Nikkei and South Korea’s Kospi lower, even as Indian IT stocks drew support from the broader rotation away from high-priced technology names.

Global markets were jolted on Wednesday after Broadcom Chief Executive Hock Tan delivered one of the bluntest warnings yet about the artificial intelligence trade, saying investors are behaving as though the sector is a gamble rather than a disciplined capital allocation story. The comments landed at a sensitive moment for global technology stocks, where enthusiasm for AI has already pushed valuations to demanding levels and left markets vulnerable to any sign that returns may take longer to materialise than expected.

Tan's remarks sharpened a debate that has been building for months: whether the AI build-out is a durable industrial transformation or a capital-intensive race that could disappoint if revenue growth fails to keep pace with spending. His questioning of OpenAI's long-term profitability, despite the company's strong top-line expansion, added weight to concerns that even the most celebrated names in the ecosystem may struggle to convert scale into sustainable earnings. For investors, the issue is no longer whether AI is real, but whether the market has priced in too much too soon.

Valuation Reality Check

The selloff reflected more than one executive's opinion. It exposed the market's growing sensitivity to any challenge to the AI narrative, especially from a company such as Broadcom, which sits close to the infrastructure layer powering the boom. Semiconductor and hardware suppliers have been among the biggest beneficiaries of AI spending by cloud providers, model developers and enterprise customers. Yet that same concentration has made the trade increasingly crowded, with many portfolios heavily exposed to a narrow group of winners.

Tan's warning effectively questioned the sustainability of the current investment cycle. AI infrastructure requires enormous outlays in chips, networking gear, data centres and power capacity, and much of that spending is being justified by future demand that remains difficult to quantify. If monetisation lags, the market could face a painful repricing not only in software and platform names, but also in the suppliers that have been priced for uninterrupted growth.

Asia Feels The Shock

The reaction was immediate across Asian equity markets. Japan's Nikkei declined as investors trimmed exposure to technology-linked names, while South Korea's Kospi also moved lower amid broader weakness in semiconductor sentiment. The moves underscored how tightly regional markets have become linked to the global AI cycle, with chipmakers and electronics exporters increasingly seen as proxies for the health of the sector.

India, however, saw a different response. Domestic IT stocks rallied as investors rotated into companies perceived as relatively insulated from the most aggressive AI valuation excesses. The move suggested a defensive rebalancing rather than a rejection of technology altogether. Indian outsourcing and software services firms have often benefited when global investors seek earnings visibility and lower volatility during periods of stress in high-growth segments.

Profitability Under Scrutiny

The broader market message is clear: investors are beginning to ask harder questions about the path from AI adoption to profit. Revenue growth alone is no longer enough to justify unlimited capital spending, especially when interest rates remain elevated and corporate boards are under pressure to show discipline. Tan's comments may have resonated because they captured a growing unease that the AI story has become too dependent on future promises and too detached from near-term cash generation.

That does not mean the AI cycle is over. Demand for compute power, model training and enterprise deployment remains strong, and the technology continues to reshape corporate strategy across sectors. But Wednesday's selloff showed that the market is moving into a more selective phase, where execution, margins and monetisation will matter far more than narrative momentum. For now, Broadcom's chief has forced investors to confront an uncomfortable question: in the AI trade, who is investing with conviction, and who is simply betting on the next turn of the wheel?

Editorial & Verification Notice

Reported by RDU Global Correspondent. Formatted and verified using real-time institutional and journalistic wire feeds. Independent reporting adhering to the RDU Global Editorial Code of Conduct.

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