86% of S&P 500 Firms Beat 2026 Earnings Targets

Corporate performance across the S&P 500 has defied pessimistic forecasts regarding the sustainability of artificial intelligence investments. According to a Bloomberg analysis cited by The Motley Fool, 86% of companies within the index exceeded analyst earnings expectations for the period through 2026. This broad-based beat rate suggests that the substantial capital expenditures directed toward AI infrastructure are translating into tangible financial gains beyond the major technology providers.

The strength in earnings indicates that large-cap stocks may not be overvalued relative to their current output. Investors have long worried that the index is too dependent on a few AI-heavy names, but the data points to a wider economic benefit. Companies across various sectors are reporting stronger results, implying that the productivity gains from AI adoption are permeating the broader economy rather than remaining siloed within the tech sector.

AI spending drives broad earnings

Major technology firms have committed hundreds of billions of dollars to purchase chips and construct data centers. This heavy capital investment has acted as a stimulus for other parts of the corporate landscape. Suppliers, service providers, and even non-tech entities are benefiting from the increased demand and operational efficiencies associated with this infrastructure buildout, contributing to the high percentage of earnings beats observed in the index.

The connection between AI spending and general earnings growth creates a complex valuation challenge. If the AI boom continues to generate real productivity gains, the current high valuations of large-cap stocks may be justified by future cash flows. Conversely, if the investment cycle proves excessive, the reliance on AI-driven earnings could expose the market to significant correction risks. The 86% beat rate serves as a key metric in this debate, showing that the spending is currently yielding results.

Index funds capture broad growth

For investors seeking to benefit from this broad earnings strength, low-cost index funds like the Vanguard S&P 500 ETF (VOO) offer direct exposure. This fund has delivered annualized returns of approximately 15% over the past 16 years. By holding the 500 largest publicly traded companies in the US, VOO allows investors to capture the aggregate performance of the market, including the winners of the AI investment cycle while being diluted by other sectors.

The index naturally adjusts over time, promoting companies that generate strong returns and demoting those that do not. This mechanism ensures that the fund remains aligned with the most profitable entities in the US economy. Even if the AI sector experiences a downturn, the resilience of large-cap corporations in generating long-term profits provides a buffer, making the index a foundational holding for long-term portfolios.

Small-cap value offers diversification

Conversely, investors concerned about the concentration of AI risk may look toward small-cap value stocks. Vanguard research suggests that US value and small-cap stocks are likely to outperform large-cap growth stocks over the next decade. The iShares Russell 2000 Value ETF (IWN) provides access to this segment, holding 1,383 small-cap stocks with only 7.1% of its portfolio allocated to the information technology sector.

This low tech exposure distinguishes IWN from the S&P 500, offering a hedge against potential AI bubble dynamics. The fund has delivered average annual returns of about 9.9% over the past 10 years. By focusing on smaller companies in value-oriented industries, investors can diversify away from the hyperscalers driving the current market narrative, positioning their portfolios for potential outperformance if the AI investment cycle moderates.