S&P 500 gains 142% with AI stocks, but only 16% without them
AI stocks are driving the S&P 500 rally. From May 2024 to June 2026, the S&P 500 rose 142%. Remove the AI stocks from the index, and the gain falls to 16%.
The article highlights a concentration risk: AI stocks now account for about 45% of the S&P 500’s total market cap, an all-time high for a single thematic cluster. It says the “Mag 7” (Apple, Microsoft, Nvidia) are the main gravitational pull, lifting the index while many of the other 493 companies lag.
Bull case: continued AI momentum and “scarce assets.” Capital Economics expects the S&P 500 could reach 7,250 by end-2026. Fundstrat’s Tom Lee points to AI hardware bottlenecks (Nvidia, AMD, Intel, Micron) plus infrastructure suppliers (GE Vernova, Caterpillar) needed for chips, power, and equipment. The piece also cites relative strength in AI-focused ETFs.
Key risk: leverage. It claims AI-linked borrowing has reached $1.4 trillion, spanning hyperscaler bond issuance and leveraged positions in AI-adjacent equities. The concern is whether current pricing already assumes several years of AI revenue growth—and what happens if projections slip.
For traders, this matters because the index’s performance is increasingly tied to AI stocks. Any credit tightening or disappointing AI company results could amplify volatility across tech-heavy markets, with spillovers to risk assets and crypto via sentiment and liquidity.
Bearish
The news is bearish for market stability because it flags both extreme concentration in AI stocks and a large, leverage-linked build-up ($1.4 trillion). When nearly half of the S&P 500’s market cap is tied to one theme, downside shocks from any AI revenue miss can transmit quickly to the broader index.
Historically, similar “concentration + leverage” regimes tend to increase beta and volatility. For example, past tech-led rallies that later faced earnings resets often triggered faster de-risking across correlated assets (growth equities first, then broader risk-on baskets). In crypto, these moves frequently show up as short-term drawdowns when liquidity tightens or when traders reduce exposure to high-duration assets.
Short-term: elevated odds of sharp swings in tech/growth sentiment if guidance disappoints, which can pressure crypto risk appetite.
Long-term: if the AI earnings/infra cycle continues as expected, the concentration risk may be “absorbed” by fundamentals. But the article’s emphasis on leveraged positioning means even small valuation or credit-condition changes could dominate outcomes until growth clarity improves.