Can AI answer the $3 trillion question?

The AI industry has invested roughly $1.5 trillion in infrastructure spending in 2026, but according to calculations by a venture investor, the industry will need to generate $3 trillion in revenue to justify that spending. Current revenue from major AI companies falls far short of this target, with a significant gap remaining to be closed. Major tech companies are betting they will achieve substantial cash-flow returns in 2028 from their infrastructure investments, but risks exist: organizations are increasingly turning to cheaper open-source models, token prices are falling, and AI models are becoming more efficient, which could reduce overall usage and revenue even as users benefit from lower costs. If these companies fail to meet their cash-flow targets, the economic consequences could be severe, potentially affecting stock market performance and the broader economy.