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AI Chip Stocks Face Valuation Pressure as Investors Shift Toward Big Tech and Software

AI Chip Stocks Face Valuation Pressure as Investors Shift Toward Big Tech and Software.

The explosive rally in AI semiconductor stocks is showing signs of cooling as investors question lofty valuations and whether the massive spending on artificial intelligence infrastructure can continue at its current pace. While demand for AI remains strong, fund managers are increasingly rotating away from chipmakers and into hyperscale technology companies, software firms, and industries expected to benefit from AI adoption.

For the past two years, investors favored AI infrastructure companies, betting that Microsoft, Amazon, Alphabet, and Meta would continue ramping up spending on data centers. However, UBS forecasts hyperscaler capital expenditure will grow 76% this year to about $673 billion before slowing to 25% growth next year and just 6% in 2028, raising concerns about future revenue growth for semiconductor suppliers.

Portfolio managers at firms including Edmond de Rothschild Asset Management and LFG+ZEST have reduced exposure to semiconductor stocks, citing expensive valuations. Instead, they are increasing investments in hyperscalers, cybersecurity companies, liquid cooling technologies, software providers, healthcare, and financial firms that stand to benefit from broader AI adoption.

The Philadelphia Semiconductor Index has more than doubled over the past year despite an 18% decline from its June peak, significantly outperforming broader equity markets. Bank of America's latest fund manager survey found 82% of respondents consider semiconductors the most crowded trade, highlighting growing caution across the sector.

Financing has also become a concern as major technology companies increasingly rely on debt markets to fund AI investments. Apollo Chief Economist Torsten Slok noted that investor demand for Big Tech bond offerings has weakened in recent months, while the Bank for International Settlements warned that disappointing AI returns could eventually trigger a pullback in funding.

Despite these risks, many investors remain optimistic about the long-term AI investment cycle. DWS expects hyperscalers to maintain strong capital spending, while Fidelity Investments believes recent volatility resembles temporary corrections seen during previous technology booms. Analysts argue AI demand and earnings continue to support the sector, though diversification into industries benefiting from AI implementation may provide a more balanced investment strategy as spending growth moderates.

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