Wall Street is shifting gears. After a year-long rally in AI chip stocks, some fund managers are trimming their semiconductor exposure and rotating into the so-called hyperscalers—Amazon, Microsoft, Alphabet, and Meta—along with software and sectors poised to adopt AI, such as financials and healthcare. The move comes as capital expenditure (capex) growth is expected to cool after a blistering run-up.
What's Driving the Rotation?
The Philadelphia Semiconductor Index has more than doubled over the past year, according to a Reuters analysis, making it one of the hottest corners of the market. But with that surge comes crowding. Bank of America's July fund manager survey found that 82% of respondents now consider semiconductors the market's most crowded trade—a level that often signals a reversal is near.
As capex growth slows, the narrative is shifting from building AI infrastructure to monetizing it. Hyperscalers like Amazon, Microsoft, Alphabet, and Meta are the ones actually deploying AI at scale, and they stand to benefit as businesses move from buying chips to using AI services. This is reflected in recent analyst notes, such as BofA's bullish view on Alphabet, which highlighted strength in ads and cloud driven by Gemini AI.
From Chips to Adoption
The rotation isn't just about hyperscalers. Fund managers are also adding positions in software companies and sectors that are early adopters of AI, such as financials and healthcare. These industries are using AI to improve efficiency, customer service, and product development—think chatbots in banking or diagnostic tools in medicine.
For example, US Bancorp and State Street recently beat Q2 revenue estimates, partly on loan growth and fees, but also on technology investments. Similarly, RBC sees J&J's drug pipeline driving growth through 2027, with a medtech rebound ahead—areas where AI is increasingly used for drug discovery and medical devices.
This shift mirrors a broader trend: as the initial hype around AI chips fades, investors are looking for companies that can actually turn AI into revenue and profit growth. Software firms, in particular, are seen as beneficiaries because they can embed AI into existing products and charge more for them.
What It Means for Investors
For everyday investors, this rotation is a reminder that market leadership can change quickly. The semiconductor trade was hugely profitable, but it became crowded and expensive. Now, the money is moving to areas with more room to run and clearer paths to earnings growth.
Hyperscalers like Amazon, Microsoft, Alphabet, and Meta have massive cloud businesses and are investing heavily in AI. They also have the scale to absorb higher capex without crushing margins. Meanwhile, software and AI-adoption plays in financials and healthcare offer diversification and exposure to the next phase of the AI cycle—implementation rather than infrastructure.
That said, the rotation is not without risks. If capex growth slows more than expected, even hyperscalers could see their AI-driven revenue growth disappoint. And if the economy weakens, financials and healthcare could face headwinds from loan losses or lower procedure volumes.
Investors should also keep an eye on the broader market context. The Nasdaq has been volatile recently, with some growth stocks plunging on dilution fears. That underscores the importance of focusing on companies with strong fundamentals and clear AI strategies, rather than chasing the latest hype.
The Bottom Line
The rotation from AI chips to hyperscalers and AI-adoption plays is a natural evolution of the market cycle. As capex growth cools, the winners will be those that can monetize AI, not just supply the hardware. For now, fund managers are betting on Big Tech, software, and sectors like financials and healthcare to lead the next leg of the AI story.
