Recent sell-offs in semiconductor stocks do not signal the end of the AI investment cycle, but rather a rotation of profits from hardware suppliers to cloud and platform companies, according to Morgan Stanley's chief U.S. equity strategist Michael Wilson. The DRAM ETF has dropped about 25% from its June 22 peak, and the semiconductor ETF (SMH) fell 12% in two weeks, while Micron's strong earnings were met with a sell-off on a "buy the rumor, sell the fact" pattern. This shift suggests that the AI narrative is evolving, not dying.
The Rotation Thesis: From Sellers to Users
Morgan Stanley's Michael Wilson advised clients to reduce semiconductor holdings and rotate into hyperscale cloud providers. His logic: over the past two years, the most profitable part of the AI value chain has been the "shovel sellers"—Nvidia, Micron, SK Hynix—who enjoyed pricing power and high margins as demand for AI infrastructure surged. But as cloud capital expenditure growth peaks, demand for those "shovels" is transitioning from explosive to mature growth.
Now, profit centers are moving downstream to the "miners"—cloud and platform companies like Microsoft, Google, Amazon, and Alibaba. These firms integrate AI into services and monetize it at scale. As chip price increases slow, cloud providers' cost pressures ease while their AI revenue continues to climb. This is a rotation within the AI ecosystem, not a collapse of the entire cycle.
Storage Chip Weakness: A Leading Indicator
The rotation is most visible in memory chips, where demand is directly tied to cloud capital spending. When Meta, one of the most aggressive AI infrastructure buyers, announced it would rent out excess computing capacity to external customers, it triggered a sharp sell-off in storage stocks. Micron's Q3 revenue of $41.4 billion and a forward guidance of $50 billion—normally a blockbuster—failed to lift its stock price. The market interpreted the news as a sign that the cycle has peaked, with "better than expected" becoming the new normal and no room for further upside surprises.
Alibaba's 11% Surge: A Rotation Signal
The rotation thesis gained strong evidence when Alibaba's U.S.-listed shares jumped 11% on the same day chip stocks were hammered. If the AI narrative were truly broken, downstream AI plays like Alibaba would have fallen in sympathy. Instead, capital flowed from chips into Chinese cloud and AI platform companies. Two factors drove this: first, the profit shift from hardware to software and cloud services; second, unconfirmed market rumors that China may tighten restrictions on exports and overseas access to advanced AI models, highlighting the strategic value of domestic AI ecosystems. Alibaba, as China's largest cloud provider and a major AI developer, stands to benefit from both trends.
U.S. cloud giants like Microsoft, Google, and Amazon have not yet seen similar price surges, likely because their valuations are already elevated and the market is still digesting the impact of slowing capital expenditure growth. But if the rotation continues, these names could see valuation repairs in the coming months.
Conclusion: A Profit Redistribution, Not a Funeral
The chip sell-off is painful, but the AI story is far from over. The next chapter may feature not the sellers of GPUs and HBM memory, but those who use them to build the next-generation internet. Money is moving from the "shovel sellers" to the "shovel users"—a profit redistribution within the AI supply chain, not a funeral for AI.