AI Stock Sell-Off Is a Healthy Rotation, Not a Downturn, BofA Says

The recent sell-off in artificial intelligence-related stocks represents a healthy market rotation rather than the start of a broader downturn, according to a new analysis from BofA Securities. The brokerage advised investors to diversify portfolios amid elevated valuations and macroeconomic risks but suggested maintaining exposure to the AI theme.

A Sector-Wide Rotation

Analysts at the bank said the pullback is being driven by investors shifting capital out of richly valued technology names and into other sectors. Factors such as falling crude oil prices and higher U.S. real interest rates have prompted this shift, even as major benchmark indexes have masked the scale of the underlying rotation, BofA noted.

The weakness in AI shares also stems from crowded positioning after an extended rally. According to the bank, high-beta and high-valuation stocks are naturally reversing course as investors take profits and reallocate capital.

Specific Headwinds for AI Stocks

BofA Securities identified several specific concerns that are currently weighing on investor sentiment in the AI sector:

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• Questions over the sustainability of AI-driven data center spending.
• The impact of higher costs for memory and AI tokens.
• A potential shift toward cheaper, open-source AI models from China.

Seasonal patterns are also contributing to the trend, as BofA pointed out that momentum stocks typically see weakness between late June and early August when earnings revision momentum tends to fade.

Market Outlook and Strategy

Looking ahead, BofA analysts believe the biggest risk to the market would be a sustained spike in oil prices, which could force the U.S. Federal Reserve to maintain a hawkish monetary policy. However, the bank views this scenario as unlikely for now.

BofA recommended that investors maintain exposure to AI while avoiding stocks with excessively stretched price-to-earnings multiples. The analysis advised clients to broaden their portfolios by increasing allocations to stable-growth companies and select non-AI sectors, including banks, defense, construction, retail, and food, which could benefit from improving market breadth.