Tech giants are pouring hundreds of billions of dollars into AI infrastructure—data centers, chips and cloud capacity—bets that some analysts say may account for nearly half of this year’s U.S. GDP growth. The surge has propelled equity markets, with the S&P 500 buoyed by a narrow band of AI-linked winners. Optimists argue AI is a general-purpose technology on par with electricity, promising broad productivity gains across business and government.
Skeptics see familiar signs of overbuild and eventual consolidation. Finance professor Aswath Damodaran warns investors may be overestimating the near-term profits from AI products and services, even if long-run benefits prove real. A sharp market reset—he suggests as much as a 40% slide in leading tech names—could leave household portfolios exposed, though the broader economy might be cushioned by its size.
Meanwhile, the labor picture is turning more complicated. Some firms are shrinking white-collar ranks as AI tools handle coding, customer support and analysis tasks once done by humans. Executives forecast significant displacement alongside new roles, highlighting the technology’s dual edge: a potential productivity revolution that risks near-term job losses, security concerns and a rocky path from exuberant investment to sustainable returns.
Related articles:
