Silicon Valley’s boosters promise an era of “abundance” from AI. John Cassidy argues the bigger question is who captures the gains. While tech leaders tout dramatic productivity leaps, mainstream forecasts are more cautious. If AI substitutes broadly for human labor, the returns to capital could swell and labor’s share shrink, amplifying inequality—a dynamic echoed by recent analyses tying AI’s scalability to rising capital income. That risks weaker household demand just as output becomes cheaper to produce. Proposed fixes range from Thomas Piketty–style wealth taxes to broadly held capital through sovereign wealth funds that would pay citizens dividends. The column notes that AI adoption so far has delivered uneven returns and that displacement could hit white-collar roles first, with robotics extending the impact beyond offices. The policy challenge: ensure AI-driven productivity doesn’t outpace the mechanisms that distribute income. Without wider ownership or targeted taxation, the spoils of “abundance” may accrue to the firms and investors who own the machines—leaving growth vulnerable to a demand shortfall.
Related articles:
— Robots and Jobs: Evidence from US Labor Markets
— The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment
