Key Takeaways
- • Thomas Hayes, Chairman of Great Hill Capital, predicts a "massive bull market" for the S&P 500 over the next six months and is positioning in the remaining 493 index companies outside the "Mag 7."
- • Hayes argues the next phase of AI-driven gains will favor firms that use AI to cut costs, raise productivity and widen profit margins, rather than the chip, memory, cloud and data-center providers that led the first round.
- • Hayes says he no longer equates "AI stocks" with semiconductor stocks and is gradually exiting parts of the semiconductor sector.
- • Hayes is seeking exposure to natural gas, logistics, telecommunications infrastructure, defense, and companies positioned to benefit from cheaper AI.
Summary
Thomas Hayes, Chairman of hedge fund Great Hill Capital, told Cailian Press that investors focused on the recent artificial intelligence sell-off may be looking in the wrong direction and missing the market's next major trend, according to the report published October 19. He predicts a "massive bull market" for the S&P 500 Index over the next six months, while arguing that the large-cap technology companies driving the index to record highs are not permanent winners.
Hayes maintains that AI remains materially significant. He attributes the recent sell-off to a shift in where investment opportunities lie. In his view, companies that spent billions building chips, models and data centers captured the first phase of the AI boom, but the next phase is likely to favor companies that use AI to reduce costs, improve productivity and expand profit margins. He notes that for most of the boom, investors aggressively bought firms selling semiconductors, memory chips, cloud computing capacity and data-center equipment, and that some of these segments have become overcrowded.
Hayes warns that intensifying competition and heavy capital expenditures may eventually pressure profits for AI infrastructure providers. He prefers companies that can use increasingly affordable AI models to improve existing operations, arguing that firms need not develop frontier models to benefit. Examples he cites include automating customer service, optimizing warehouse operations, reducing administrative workloads and improving inventory management, savings that he says could boost profitability quickly.
Hayes said he is gradually exiting certain areas of the semiconductor sector and seeking opportunities in natural gas, logistics, telecommunications infrastructure, defense, and companies poised to benefit from cheaper AI. He summarized his position: "Companies adopting AI... are bound to surge ahead." His core conclusion is that AI exposure should not be confined to semiconductor stocks, a framing that broadens the universe of companies investors may use to profit from the technology. The report notes that if Hayes is correct, hundreds of S&P 500 constituents could outperform even as the index itself grows more slowly.
Hayes maintains that AI remains materially significant. He attributes the recent sell-off to a shift in where investment opportunities lie. In his view, companies that spent billions building chips, models and data centers captured the first phase of the AI boom, but the next phase is likely to favor companies that use AI to reduce costs, improve productivity and expand profit margins. He notes that for most of the boom, investors aggressively bought firms selling semiconductors, memory chips, cloud computing capacity and data-center equipment, and that some of these segments have become overcrowded.
Hayes warns that intensifying competition and heavy capital expenditures may eventually pressure profits for AI infrastructure providers. He prefers companies that can use increasingly affordable AI models to improve existing operations, arguing that firms need not develop frontier models to benefit. Examples he cites include automating customer service, optimizing warehouse operations, reducing administrative workloads and improving inventory management, savings that he says could boost profitability quickly.
Hayes said he is gradually exiting certain areas of the semiconductor sector and seeking opportunities in natural gas, logistics, telecommunications infrastructure, defense, and companies poised to benefit from cheaper AI. He summarized his position: "Companies adopting AI... are bound to surge ahead." His core conclusion is that AI exposure should not be confined to semiconductor stocks, a framing that broadens the universe of companies investors may use to profit from the technology. The report notes that if Hayes is correct, hundreds of S&P 500 constituents could outperform even as the index itself grows more slowly.
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