An analysis of 148 companies spanning the AI supply chain found that 70% are up year to date, with the median up over 20%, outperforming the S&P 500 by about 10 points. The gains are broad across the ecosystem — not confined to chips or hyperscalers — but the article cautions that geopolitics, near-shoring, and industrials growth are also key drivers, and markets are now scrutinizing hyperscalers' capital spending efficiency rather than rewarding it automatically.
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An analysis of 148 companies across the AI ecosystem found that 70% are up year to date, with the median company up over 20% — outperforming the S&P 500 by about 10 points. Eight of 11 sectors are represented, and 40% of names are non-tech. The gains span data centers, chips, memory, cooling, hyperscalers, and software.
Why it matters
AI is no longer confined to a narrow set of stocks; it is showing up as a distributed theme across the value chain and the broader market. However, the article notes that geopolitical factors (energy prices), near-shoring trends, and industrials growth are also driving returns, meaning the market is not entirely an AI trade. Investors have begun to differentiate between AI winners and losers — for example, hyperscalers are now facing scrutiny over returns on their heavy capital spending, rather than being rewarded automatically for growth.
What to watch
Hyperscaler capital spending and free cash flow generation will be key. Alphabet reported its first negative quarter of free cash flow since its IPO despite strong cloud revenue, signaling that markets are becoming more critical about whether these companies can justify their spending. Over time, the success or failure of hyperscalers to generate acceptable returns on their capex investments will likely drive the broader AI ecosystem's returns.
The AI rally has been broad but is not uniform across the market. An analysis of 148 companies spanning the full AI value chain — including data centers, chips, memory, cooling, hyperscalers, electrification, software, and related sectors — shows that 70% are up year to date, with the median up over 20% and outperforming the S&P 500 by about 10 points. Crucially, this gain is not concentrated in a small corner of the market: eight of 11 sectors are represented, and 40% of the names are non-tech, signaling that the AI theme has penetrated across industries.
However, the article emphasizes that AI is not the only driver of returns. Geopolitical factors — particularly the Middle East conflict and elevated energy prices — have made energy the top-performing sector in the S&P 500 so far this year. Near-shoring and a broader shift toward domestic and regional investment have also supported industrials, which is a leading sector. The diversification of drivers is a positive signal for portfolio resilience: when semis were down more than 5% on a rolling one-month basis, other sectors in the S&P 500 were not necessarily down, suggesting that different parts of the portfolio have held up better on days when the semiconductor trade struggled.
A critical shift is underway within the AI theme itself. Hyperscalers have been the engine of the AI trade — spending heavily on capital and being rewarded for growth. Now, however, markets are becoming more discriminating, scrutinizing whether these companies can generate acceptable returns on their investments. Alphabet's earnings results exemplify this: despite delivering impressive cloud revenue and a growing backlog, investors focused on the company's increased capex guidance and its first negative quarter of free cash flow since its IPO. This marks a transition from automatic reward for growth to a more critical assessment of capital efficiency across the hyperscaler ecosystem.
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