A new economic analysis reports that recent U.S. productivity growth has been driven primarily by greater utilization of existing capital rather than widespread artificial intelligence adoption. The findings provide new context for assessing economic output, business investment, and long-term growth.
Key Takeaways
- New analysis attributes recent U.S. productivity gains mainly to higher capital utilization.
- Labor productivity has outpaced its long-term average in the latest data.
- Total factor productivity has remained relatively unchanged.
- Industries with stronger AI adoption showed productivity advantages before widespread use of large language models.
- The findings distinguish economy-wide productivity gains from firm-level AI efficiency improvements.
A new economic analysis indicates that U.S. productivity growth has recently been supported more by increased use of existing capital than by broad adoption of artificial intelligence across the economy. The assessment, prepared by Stripe Chief Economist Ernie Tedeschi, examines the factors behind stronger labor productivity and concludes that higher utilization of factories, computing infrastructure, and other productive assets has played the leading role in recent gains.
The findings arrive as economists, policymakers, and business leaders continue evaluating the sources of stronger economic output. Productivity growth is a closely watched measure because it influences long-term economic expansion, business profitability, wage potential, and inflation dynamics. Distinguishing between improvements generated by capital use and those resulting from technological innovation provides additional context for interpreting recent economic performance.
U.S. Productivity Growth Outpaces Long-Term Average
Recent data show that labor productivity has increased at a faster pace than its long-term average. Labor productivity measures the amount of economic output generated for each hour worked and is widely used to assess improvements in efficiency across the economy.
Labor Productivity Measures Output Per Hour Worked
According to the analysis, labor productivity increased by approximately 2.5% over the past year, exceeding the roughly 1.6% annual average recorded over the previous two decades. Although the difference appears modest, sustained productivity gains can contribute to higher economic output without requiring a proportional increase in labor hours.
Higher labor productivity allows businesses to produce more goods and services using the same workforce. Economists monitor these gains because they can contribute to rising incomes, stronger corporate performance, and improved living standards over time. Similar themes have emerged in recent reporting on U.S. job openings reaching their highest level since 2024, where labor market resilience continues to influence expectations for economic growth.
The recent improvement has attracted attention because productivity growth remained relatively subdued for many years before strengthening during the current economic expansion. The new analysis examines whether advances in artificial intelligence explain the improvement or whether other factors are responsible for the recent acceleration.
Analysis Attributes Gains to Higher Capital Utilization
The analysis concludes that greater utilization of existing productive assets appears to explain much of the recent increase in labor productivity.
Capital Utilization Supports Existing Production Capacity
Capital utilization refers to the extent to which businesses make use of factories, equipment, data centers, computing infrastructure, and other fixed assets that have already been built or purchased. Higher utilization allows firms to generate more output without immediately expanding their capital base.
Examples cited in the analysis include longer operating schedules for manufacturing facilities, increased use of server infrastructure and graphics processing unit clusters, and higher occupancy of existing hotel capacity. These activities increase production while relying primarily on assets already in place.
The analysis distinguishes these gains from productivity improvements generated through new technology adoption. While better utilization of existing capital raises economic output, it reflects increased efficiency in using available resources rather than technological breakthroughs alone. Businesses are also evaluating persistent services inflation pressures as they make decisions about investment, operating costs, and resource allocation.
This distinction is important because productivity gains resulting from capital utilization and those generated by innovation can have different implications for long-term economic growth.
Labor Productivity and Total Factor Productivity Show Different Trends
The analysis also compares labor productivity with total factor productivity, another widely used measure of economic efficiency.
Total factor productivity evaluates output relative to both labor and capital inputs. Unlike labor productivity, which focuses only on hours worked, total factor productivity considers whether businesses are producing more while accounting for changes in the amount of labor and capital employed.
The report finds that while labor productivity has improved, total factor productivity has remained relatively stable. This difference suggests that recent output gains are associated more closely with increased use of existing productive assets than with broad improvements in technological efficiency.
Economists often examine both measures together because they provide different perspectives on economic performance. Strong labor productivity accompanied by relatively unchanged total factor productivity may indicate that businesses are making fuller use of current resources rather than achieving substantial economy-wide technological advances.
The distinction also helps explain why higher productivity does not necessarily indicate that artificial intelligence has already transformed production across every sector of the economy.
Industry Data Separates AI Adoption From Productivity Performance
The analysis reviews productivity trends across industries with varying levels of artificial intelligence adoption.
Industries that currently report relatively high AI adoption also tend to record stronger productivity performance. However, the analysis notes that many of these industries already demonstrated above-average productivity growth before the widespread introduction of large language models.
That observation suggests that existing characteristics within those industries, including investment patterns and operational efficiency, may explain part of their productivity performance independent of recent AI deployment.
The findings do not dismiss the role of artificial intelligence in improving efficiency at the firm level. Businesses across multiple sectors continue introducing AI tools to automate tasks, support decision-making, and streamline workflows. Those improvements may increase productivity within individual organizations. Related reporting on AI spending and workforce restructuring illustrates how companies are reallocating resources while expanding investment in AI infrastructure.
The analysis instead concludes that available economy-wide data do not yet identify AI adoption as the principal driver of the recent acceleration in national labor productivity. Current macroeconomic indicators point more directly toward increased utilization of existing capital.
Separating firm-level efficiency gains from economy-wide productivity trends provides a more accurate framework for evaluating the economic impact of emerging technologies.
Frequently Asked Questions
What is driving recent U.S. productivity growth?
The analysis concludes that recent U.S. productivity growth has been driven primarily by greater utilization of existing capital, including factories, computing infrastructure, and other productive assets, rather than widespread AI adoption.
What is capital utilization in economic analysis?
Capital utilization measures how intensively businesses use existing productive assets such as equipment, facilities, and technology infrastructure to generate economic output.
How does labor productivity differ from total factor productivity?
Labor productivity measures output per hour worked, while total factor productivity evaluates output relative to both labor and capital inputs, providing a broader measure of production efficiency.
What does the new analysis say about AI and productivity?
The analysis states that artificial intelligence may improve productivity within individual firms, but current economy-wide data do not identify AI as the primary driver of recent national productivity gains.
Why does productivity growth matter for the U.S. economy?
Productivity growth is an important measure of economic performance because higher productivity can support stronger economic output, improved business efficiency, higher incomes, and sustainable long-term growth without requiring proportional increases in labor input.
