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LSEG is forecasting 31% year-over-year earnings growth for the S&P 500 in the third quarter of 2026. With the index trading at a reported forward price-to-earnings ratio of 21, that result may already be reflected in prices. The risk is not that 31% growth fails to arrive, but that it is merely met rather than exceeded—especially because AI-linked technology companies are expected to provide about two-thirds of the increase.
Why a 31% earnings forecast can still disappoint investors
A strong earnings number does not automatically produce a strong stock-market reaction. Share prices reflect what investors expect in advance. If the market has already positioned for 31% S&P 500 earnings growth, companies and the index may need to beat that forecast, raise future guidance or show unusually durable growth to push valuations higher.
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David Dierking, a Motley Fool contributor, summarized the expectation risk this way: “If the market already expects 31% earnings growth, there may not be much of a reaction when it actually happens.” The reported forward S&P 500 P/E ratio of 21 leaves investors paying for substantial future profits rather than buying after a period of low expectations.
This is an expectations problem, not proof that the forecast is wrong. A company can report excellent results and still fall if its outlook, margins or revenue growth are less impressive than investors had priced in. Conversely, a modest-looking beat can support prices when expectations are low.
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Where the projected growth is coming from
AI-linked technology is carrying much of the forecast
The Motley Fool article says roughly two-thirds of expected S&P 500 earnings growth is coming from AI-adjacent technology companies. That concentration makes the index more sensitive to a relatively narrow set of assumptions: continued data-center and semiconductor spending, strong demand for AI infrastructure and software, rising productivity, and customers’ willingness to keep funding large capital projects.
If businesses slow AI-related capital expenditure, delay deployments or demand faster payback, the effect could spread beyond chipmakers. Hardware suppliers, cloud operators, software vendors and other companies whose results depend on the AI investment cycle could all face slower growth or lower margins. New regulation could also alter costs, permitted uses or the pace of deployment.
Energy adds a cyclical, geopolitical variable
Energy is also helping the growth comparison, according to the article, because surging oil prices increase revenue and earnings for producers. That contribution is less dependable than a structural improvement in operating performance: a fall in oil prices, a change in supply conditions or easing geopolitical tensions could reverse it.
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The result is a market forecast that is both concentrated and cyclical. Technology assumptions determine much of the expected gain, while energy benefits partly depend on commodity prices and events outside corporate control.
What history can—and cannot—tell investors
The article compares the current setup with earlier periods when S&P 500 earnings growth was unusually high. Those comparisons are descriptions in the Motley Fool article, not independently sourced historical statistics here, and each episode had a different starting point.
| Period | Description in the Motley Fool article | Why the comparison is limited |
|---|---|---|
| 2021 | A post-pandemic earnings surge aided by trillions of dollars in Federal Reserve stimulus. | The rebound followed an exceptional shutdown and policy response, so it is not a normal baseline for forecasting. |
| 2010 | Triple-digit growth as profits rebounded from the financial crisis. | Large percentage gains partly reflected recovery from depressed earnings. |
| 2004 | More than 70% growth during a recovery from the technology bubble. | Comparisons with a post-bubble rebound can exaggerate how unusual a mature-cycle forecast is. |
| 2000 | More than 30% growth before the dot-com crash. | Strong reported growth did not prevent a subsequent collapse when valuations and expectations changed. |
The useful lesson is not that every high-growth year precedes a crash. It is that unusually strong growth can be backward-looking, recovery-driven or already embedded in prices. The market’s later performance depends on what happens to profits, valuations and expectations after the headline growth is known.
Could an earnings miss cause a 10% correction?
Dierking says a downside surprise could trigger a 10% correction, while also noting that such a decline would not necessarily be a crash. In market terminology, a correction is a significant pullback from recent highs; it does not by itself establish that the economy is entering a recession or that a long-term investment thesis has failed.
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Meeting the forecast could therefore produce little reaction, a beat could support prices, and a miss could prompt a sharper repricing. None of those outcomes is guaranteed by the forecast alone.
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How to think about an S&P 500 ETF if AI spending slows
Keep the core decision separate from the satellite decision
The broad index owns many industries and companies, so an investor who already uses an S&P 500 fund is not making a pure bet on one AI theme. However, the index’s largest technology holdings can make its performance more technology-sensitive than its label suggests. A slowdown in AI spending could therefore affect a broad-market holding even if other sectors remain healthy.
The Motley Fool author’s general approach is to maintain core exposure through broad funds such as the Vanguard S&P 500 ETF (VOO) or Vanguard Total Stock Market ETF (VTI), rather than trying to trade every earnings cycle. That is general diversification guidance, not individualized financial advice.
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Review the combined exposure across the core fund, separate technology funds, semiconductor funds and other growth-oriented ETFs. The relevant question is not how many tickers are held, but how much of the portfolio ultimately depends on the same companies, AI spending cycle and valuation assumptions.
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- List each holding’s percentage of the portfolio.
- Identify overlapping large technology and semiconductor positions.
- Estimate how much of the total portfolio is tied to AI capital expenditure or high-growth valuations.
- Decide in advance what level of concentration fits the account’s time horizon and ability to tolerate losses.
Continue a rules-based contribution plan
The author’s stated actions include continuing systematic investing and 401(k) contributions. Regular contributions can reduce the temptation to make an all-or-nothing decision based on one earnings season, although they do not prevent losses or guarantee a particular return.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.A practical decision framework before the next earnings reports
- Write down the assumption. Treat 31% year-over-year S&P 500 earnings growth as an expectation for the third quarter of 2026, not as a guaranteed outcome.
- Separate results from guidance. Check whether companies merely meet reported estimates or also raise expectations for future quarters.
- Measure breadth. Determine whether gains are broad across industries or concentrated in AI-linked technology and energy.
- Track the drivers. Watch AI capital-expenditure plans, customer demand, semiconductor orders, oil prices and geopolitical developments.
- Review valuation sensitivity. A forward P/E of 21 means a weaker outlook can affect both expected earnings and the multiple investors are willing to pay.
- Rebalance by policy. If technology or growth exposure has exceeded a chosen allocation, use the existing investment policy rather than reacting to headlines.
What investors should take from the forecast
The extraordinary part of the outlook is not simply the 31% number. It is the combination of a high earnings expectation, a forward P/E of 21, heavy dependence on AI-adjacent technology and an energy contribution linked partly to oil prices and geopolitics. That combination raises the penalty for an earnings or outlook miss.
Investors do not need to predict whether the next move will be up or down to make a sound portfolio decision. They can keep a diversified core, understand the technology exposure already embedded in broad funds, limit unintended overlap and continue contributions under a plan that matches their time horizon. A 10% pullback would be a plausible correction scenario described by the article—not a forecast that a crash is inevitable.
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