Why Better Use of Existing Resources Is Driving the Current U.S. Business Boom
San Francisco, Wednesday, 29 July 2026.
New economic data reveals that recent U.S. productivity gains stem from corporate capital efficiency rather than artificial intelligence, challenging key tech sector assumptions.
U.S. Productivity Surge Driven by Capital Efficiency
Recent economic data indicates a significant shift in the drivers of United States labor productivity, challenging prevailing narratives regarding artificial intelligence. According to an analysis released on 28 July 2026 by Stripe’s chief economist, artificial intelligence represents only a minor factor in the recent surge in U.S. labor productivity growth [1]. Instead, corporate leaders are driving higher output by optimizing existing capital, streamlining operational workflows, and improving overall resource allocation [1]. While generative AI tools continue to dominate headlines and venture investments, macroeconomic evidence indicates that conventional efficiency gains and capital deployment remain the primary drivers behind current economic performance [2]. Over the last year, output per hour worked is up 2.5%, compared with 1.6% annually over the last 20 years [1]. This difference represents a substantial deviation from long-term trends, calculated as 56.25 percent higher than the historical average [3]. If sustained over just a few years, that higher productivity would compound, making incomes and output per worker much higher [1].
Capital Utilization Versus Technological Transformation
The core of this productivity increase lies in capital intensity rather than technological breakthroughs. Companies are achieving more output per person-hour of labor because they are making better use of existing capital, a provocative new analysis finds [1]. Ernie Tedeschi, chief economist at Stripe, notes that higher output is coming from higher usage of existing capital rather than major use of AI [2]. Specific examples include longer runs of factories already built, more utilization of server racks and GPU clusters already paid for, and more occupancy of existing hotel rooms [1]. Economists call this ‘capital intensity’ or ‘utilization,’ which represents real economic gains but is distinct from microproductivity driven by new technology [1]. Total factor productivity, which measures output per hour of work and unit of capital, is little changed despite the rise in labor productivity [1]. The San Francisco Fed’s estimates show total factor productivity growth hovering near zero, while the Bureau of Labor Statistics reported just 0.8% growth in 2025 [2]. This stagnation suggests that while AI advances may be generating substantial micro-level gains in some sectors, they are not yet the driver of one of the most important macro trends of the last couple of years [3].
Investment Implications and Future Outlook
The disconnect between AI hype and macroeconomic reality carries significant weight for investors and market strategists. The AI narrative that has powered massive valuations across tech and crypto may be running ahead of the actual economic impact [2]. Companies spending heavily on AI infrastructure are making a bet that micro-level task improvements will eventually compound into macro-level transformation [2]. Tedeschi’s data suggests that bet hasn’t paid off yet, and the probability of a regime shift remains low [2]. A Markov-switching model puts the probability of transitioning to a high-total factor productivity growth regime at less than 20% [2]. However, none of that precludes the possibility that AI advances will generate major productivity gains in the not-too-distant future [1]. It looks likelier and likelier that the U.S. is in a period of high productivity growth, and that AI is part of the story, though observers need to be sober about how it is playing a role [1]. This clarity will help discern whether AI is just a temporary blip on the growth path or something more persistent and transformational [1].