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

The recent sell-off in high-flying, AI-related stocks represents a healthy market rotation rather than the beginning of a broader collapse, according to a new analysis from BofA Securities. The bank advises investors to diversify their portfolios amid elevated valuations and rising macroeconomic risks, viewing the current pullback as a normal shift in a bull market.
Drivers of the AI Pullback
BofA Securities attributes the weakness in the AI sector to a combination of specific industry concerns and broader market dynamics. The firm notes that after an extended rally, positioning in high-valuation and high-beta technology stocks had become crowded, making them susceptible to a reversal.
Key factors weighing on investor sentiment include:
- Concerns over the sustainability of AI-driven data center spending.
- Rising costs for memory chips and AI tokens.
- A potential shift toward cheaper, open-source AI models from China.
- Macroeconomic pressures, including higher U.S. real interest rates and falling crude oil prices, which have prompted investors to rotate into other sectors.
Macro Risks and Market Outlook
AdThe bank identified a sustained spike in oil prices as the biggest potential risk to the market. Such a scenario could force the Federal Reserve to maintain a hawkish monetary policy, pushing real interest rates higher and triggering a more severe sell-off in richly valued AI stocks. However, BofA believes this outcome is unlikely for now.
Seasonal factors have also played a role, as momentum stocks typically weaken between late June and early August. While BofA anticipates that AI-related names could rebound following quarterly earnings results, it expects any recovery to be gradual. The bank stated that a more serious market breakdown would only be signaled by an extreme rise in market concentration, similar to levels seen during the dot-com bubble or the 2008 financial crisis.
Investment Strategy Amid Rotation
In this environment, BofA recommends a strategy of diversification while retaining core AI exposure. The firm advises investors to avoid AI stocks with excessively stretched price-to-earnings multiples and to broaden their holdings.
Analysts suggest increasing allocations to stable-growth companies and select non-AI sectors poised to benefit from improving market breadth and lower oil prices. These sectors include banks, defense, construction, real estate, retail, and food.