MarketsMarketWatchMay 10, 2026· 1 min read
AI Investment Cools S&P 500 Buyback Growth, Goldman Sachs Reports

Goldman Sachs predicts S&P 500 share buybacks will grow by only 3% this year, impacted by a challenging economic environment and substantial AI-related investment costs. This subdued growth signals a shift in corporate capital allocation, with companies prioritizing AI infrastructure over immediate shareholder returns.
Goldman Sachs forecasts a modest 3% increase in S&P 500 share buybacks for the current year, a significant deceleration from previous periods. This projection comes as a confluence of factors, primarily substantial investments in artificial intelligence (AI) infrastructure by major technology firms and a generally uncertain economic outlook, reshape corporate capital allocation strategies.
Traditionally, share buybacks have been a key mechanism for companies to return capital to shareholders, boosting earnings per share and often share prices. However, the current environment sees companies, particularly large-cap technology firms, prioritizing long-term strategic investments in AI research, development, and deployment over immediate shareholder returns via buybacks. These investments encompass everything from advanced computing hardware and data centers to specialized AI talent and software development.
The economic backdrop, characterized by fluctuating consumer demand, persistent inflationary pressures, and higher interest rates, further contributes to a more cautious approach to capital expenditure. Companies are balancing the need to remain competitive in the rapidly evolving AI landscape with the imperative to maintain financial resilience against potential economic headwinds. While the 3% growth still represents an increase, it signals a shift in corporate priorities, potentially reallocating capital that might otherwise have flowed into buyback programs towards growth-oriented AI initiatives.
Analyst's Take
The muted buyback growth, while seemingly a straightforward re-prioritization, subtly flags increasing capital intensity for tech companies at the forefront of AI. This could pressure free cash flow generation in the near term, potentially impacting their valuation multiples if the market begins to question the immediate ROI on these significant AI outlays, especially if broader economic growth disappoints. Investors should monitor a widening divergence between revenue growth and free cash flow generation in these sectors.