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S&P 500 Earnings Seen Up 35% in 2026, but AI Spending and Rates Are the Wild Cards

S&P 500 Earnings Seen Up 35% in 2026, but AI Spending and Rates Are the Wild Cards
Earnings · 2026
Photo · Marcus Devlin for Daily Digest Invest
By Marcus Devlin Equities Correspondent Oct 1, 2026 4 min read

Wall Street strategists are penciling in a big year for corporate America. Consensus estimates point to S&P 500 earnings rising about 35% in 2026, a forecast that would mark one of the strongest profit expansions in recent memory. But the number comes with an asterisk: the outlook assumes two key supports hold — heavy spending on artificial intelligence and interest rates that don't climb high enough to choke off growth.

The S&P 500 is the benchmark index of roughly 500 of the largest U.S. publicly traded companies, and its earnings are the single biggest driver of long-term stock returns. When profits rise, share prices tend to follow, which is why a 35% forecast gets so much attention. It implies that the companies in the index will collectively earn far more per share than they do today, even after accounting for the drag from higher costs.

Why the forecast is so aggressive

Part of the optimism rests on the AI buildout. Technology giants and a growing list of other sectors are pouring money into data centers, chips, networking gear and software that can run AI models. That spending shows up as revenue for the companies selling the picks and shovels, and as hoped-for productivity gains for the companies using them. Recent surveys suggest AI is already lifting profits at many firms, though few have managed to scale it across their entire operations.

The other pillar is monetary policy. After a long stretch of elevated interest rates aimed at taming inflation, investors are betting the Federal Reserve will keep borrowing costs from rising further — and may even cut them. Lower rates reduce the cost of financing AI projects, make future profits worth more in today's dollars, and generally support higher stock valuations. Signs of easing inflation have already helped calm markets, as seen when softer inflation data eased pressure on the Fed.

The risks hiding in plain sight

The trouble is that both supports are conditional. AI capital expenditure is running at historic levels, and investors are increasingly demanding proof that the money will generate real cash flow. Companies that borrow heavily to fund AI projects are already facing higher junk-bond yields as lenders demand evidence of returns. If spending slows or fails to pay off, the earnings math changes quickly.

Rates are the second wild card. If inflation proves stickier than expected, the Fed could hold rates higher for longer, or even tighten again. That would raise costs for businesses and consumers, compress profit margins, and make the 35% target look optimistic. It would also pressure stock valuations, which are already elevated relative to history — a setup where high valuations meet strong earnings and leave little room for disappointment.

There's also the question of breadth. A large share of recent earnings growth has come from a handful of mega-cap technology names. If those companies stumble, the index-level forecast could be hard to hit even if the rest of the market performs well. Investors will be watching whether profit gains spread to sectors like industrials, financials and healthcare, which would make the rally more durable.

What it means for investors

For everyday investors, the headline number matters less than the assumptions behind it. A 35% earnings jump is not a guarantee; it's a projection that depends on AI spending continuing and rates behaving. That means the market is likely to be sensitive to two things in particular: quarterly capital-expenditure updates from big tech companies, and inflation and jobs data that shape Fed policy.

Practically, this argues for paying attention to diversification. If the AI trade cools or rates rise, portfolios concentrated in a few high-flying names could feel more pain than a broader mix of stocks and bonds. It also means keeping an eye on valuations: when prices already reflect a lot of good news, the margin for error shrinks.

None of this is a reason to abandon stocks. Earnings growth, if it materialises, is the fuel that powers long-term returns. But the 2026 forecast is a reminder that Wall Street's biggest bets often come with conditions attached — and this one has an AI asterisk.

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