331 S&P 500 Earnings Calls Cited AI — Why a Slower Payoff Shakes Markets
More than 65% of S&P 500 earnings calls for Q2 cited "AI," 331 calls in the period analyzed by FactSet. The figures were published on September 18, 2026.
The broader context here is breadth. The talk was not confined to a small cluster of tech issuers. When most large companies feel they must address AI, market expectations rest on AI delivering. That matters for savers in index funds.
Stocks near highs before AI jitters
The S&P 500, an index of 500 large U.S. companies, had gained about 12% in 2026 as of September 8, 2026, while remaining down about 1% from its record-high close on August 13. Reuters
AI-linked stocks slumped worldwide on September 14, 2026. Reuters In September 2026, investors were nervous about an AI spending slowdown after industry warnings. Reuters Citigroup warned that safety calls by leading large-language-model developers could crimp artificial intelligence's contribution to corporate earnings. MarketWatch
Torsten Slok is chief economist at Apollo. Slok warned that a slower-than-expected AI payoff risks tipping the economy into recession. MarketWatch Big Tech companies spent hundreds of billions of dollars over three years to power the artificial intelligence boom. Reuters AI spending is expected to reach nearly $800 billion in 2026. Reuters AI spending is projected to surpass $1.3 trillion by 2027. Reuters
Why timing of payoff matters
The broader context here is timing. Capex, spending on assets like chips and data centers, is spread on company books over years through depreciation. Share prices reflect expected future profit from that spending. Free cash flow, cash left after running and expanding the business, absorbs the cost now. When deployment timelines extend, operating leverage is deferred. That can compress multiples, the price investors pay for each dollar of earnings, even if long-run productivity views are unchanged. A pause would affect orders, hiring and credit before it affected model capabilities.
In my view, the market reaction on September 14 fits that timing strain rather than a simple sentiment swing. Earnings-call frequency tells how widely managers believe AI must be addressed to satisfy investors. It does not measure conversion into revenue, margin or return on invested capital, the profit earned on money put to work. Citigroup's focus on earnings contribution and Slok's focus on recession risk point to the same transmission channel from different ends. One is corporate profit, the other is aggregate spending. Both depend on payoff speed.
Looking at what this means for savers and investors, the variables to monitor are capex guidance revisions, order visibility across the AI supply chain, and evidence of monetization in software and services margins. A slower payoff does not require a cut in absolute spending to tighten financial conditions. A slower growth rate of spending can do it. With the S&P 500 still up about 12% for the year on September 8 and only about 1% below its August 13 high, prior gains leave little cushion if expected earnings growth is pushed further into the future.
