US corporate earnings are heading for one of their strongest years in recent history, but investors are increasingly focused on whether companies can maintain that pace in 2027 as artificial intelligence spending, interest rates and consumer demand become key risks.
Key Points
- S&P 500 earnings are expected to rise more than 35% in 2026.
- Analysts expect earnings growth to slow to about 15% in 2027.
- AI investment has become a major driver of corporate profits and market expectations.
- Higher interest rates and oil prices could put pressure on companies and consumers.
- Investors are also watching whether enormous AI spending can generate sufficient returns.
- The S&P 500's forward price-to-earnings ratio has fallen to 19.2 from 22 at the start of 2026.
A Powerful Year for Corporate Earnings
US companies are heading toward an unusually strong year for profits. Full-year earnings for companies in the S&P 500 are currently expected to increase by more than 35% in 2026, according to LSEG IBES estimates cited by Reuters.
If achieved, that would represent the strongest annual earnings growth since 2021, when profits were heavily influenced by the economic rebound following the pandemic.
The surge in earnings has helped support the US stock market, with the S&P 500 up about 12% during 2026 despite higher interest rates, geopolitical tensions and elevated oil prices.
The Focus Is Moving to 2027
With 2026 earnings expected to be exceptionally strong, investors are increasingly looking ahead to whether the growth can continue.
LSEG IBES estimates cited by Reuters put S&P 500 earnings growth at about 15% in 2027. While that would remain above the median annualized growth rate of roughly 10% recorded over the past 35 years, it would represent a substantial slowdown from this year's expected 35% increase.
One reason is the difficult comparison with 2026. Companies would have to generate another large increase in profits after already posting unusually strong gains this year.
AI Spending Is at the Center of the Debate
Artificial intelligence has become a major source of corporate investment and earnings growth, particularly for companies supplying data centers, chips and other AI infrastructure. Goldman Sachs estimates that five major AI hyperscalers will spend just over $800 billion in 2026 and around $1.1 trillion in 2027. However, the growth rate of that spending is expected to moderate, raising questions about how quickly AI-related profits can continue expanding.
Will AI Investment Produce Enough Returns?
The scale of AI investment has created a new question for investors: whether the companies spending hundreds of billions of dollars on data centers and computing infrastructure will generate sufficient returns from that spending.
A slowdown in AI infrastructure construction could affect companies that have benefited from the investment boom. Regulatory restrictions, community opposition to data centers or weaker-than-expected demand could also influence future spending.
At the same time, all 11 S&P 500 sectors are expected to record earnings growth in 2026, suggesting that the current profit expansion extends beyond the technology industry.
Interest Rates and Consumers Add Pressure
AI is not the only issue facing corporate earnings. Higher interest rates can increase borrowing costs for businesses and make companies more cautious about taking on debt to finance major investments.
Consumer spending is another important factor. If households reduce spending, companies that depend on consumer demand could find it harder to maintain their current earnings growth.
Rising oil prices are another source of pressure because higher energy costs can increase expenses for businesses while reducing consumers' disposable income.
Market Valuations Have Moderated
Some of the concerns about future earnings growth are already reflected in market valuations.
The forward price-to-earnings ratio for the S&P 500 has fallen to 19.2, compared with 22 at the beginning of 2026 and 23.5 in October 2025, according to LSEG Datastream data cited by Reuters.
AI-linked companies have experienced a larger adjustment. The median AI infrastructure stock was valued at about 22 times forward earnings estimates, down from 32 times in April, according to Goldman Sachs strategists.
What Investors Will Watch Next
The upcoming third-quarter earnings season could provide an early indication of how companies are approaching 2027.
Investors will be watching corporate guidance, AI investment plans, consumer demand, borrowing costs and profit margins. Companies' ability to maintain earnings growth despite higher costs and tougher comparisons will also be closely followed.
The current data shows strong corporate earnings in 2026, while forecasts point to slower but still substantial growth in 2027. The difference between those two periods has become an important focus for financial markets.
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