Big Tech's AI Spending Spree Is Crowding Out Stock Buybacks

Major technology companies are dramatically shifting capital allocation away from share buybacks to fund artificial intelligence infrastructure, marking a significant change in how Big Tech deploys shareholder returns. Meta has committed to spending as much as $72 billion on capital expenditures in 2025, primarily directed toward AI development and the data centers required to train and operate large language models. This massive reallocation reflects the intense competition among technology giants to maintain leadership in artificial intelligence, requiring substantial investment in computing infrastructure that was previously unavailable.

The pivot away from buybacks represents one of the most consequential shifts in Big Tech's financial strategy in recent years. Share repurchases have long been a cornerstone of investor returns, helping to support stock prices and provide a predictable shareholder benefit. However, as companies race to develop cutting-edge AI capabilities and acquire the computing power necessary to compete, capital that might have previously gone toward buybacks is instead being funneled into data centers and AI research and development.

This trend reflects the high stakes in the artificial intelligence race, where companies believe that falling behind in infrastructure investment could prove strategically damaging. The shift underscores how transformative AI has become to Big Tech's business strategy, with companies prioritizing long-term competitive positioning over the near-term shareholder benefits that buybacks typically provide.