🔍 Read the full analysis: The US Growth Story In Numbers: More Output, Similar Hours on ThorstenMeyerAI.com
TL;DR
US business-sector output rose 10.0% from the fourth quarter of 2022 to the second quarter of 2026, while hours worked increased 0.9%, according to calculations from BLS indexes cited by ThorstenMeyerAI.com. Productivity growth has accelerated, but the figures alone do not show that AI caused the change or explain how gains are distributed among workers.
US business-sector output rose 10.0% from the fourth quarter of 2022 to the second quarter of 2026, while hours worked increased 0.9%, according to calculations from Bureau of Labor Statistics indexes cited in a November 1 report by ThorstenMeyerAI.com. The gap points to faster productivity growth, but it does not establish that artificial intelligence caused the shift or show that the gains have been broadly shared with workers.
The report brings together several measures that cover different periods. The latest BLS productivity figures cited are for the year to the second quarter of 2026: nonfarm business output grew 2.5%, hours worked rose 0.2%, and productivity increased 2.2%. The nonfarm business sector covers private businesses excluding farms; it does not represent every part of the economy.
Separately, the Bureau of Economic Analysis’ advance estimate, released October 29, put real gross domestic product growth at a 3.4% annual rate in the third quarter of 2026, compared with 2.2% in the second quarter. GDP measures the broader economy and should not be treated as the same statistic as business-sector productivity. The report says consumer spending, investment and government spending all contributed to third-quarter growth.
The jobs picture is less uniform. The report says payroll employment increased by 496,000 over the 12 months to September, with health care and social assistance adding 520,000 jobs. Information industries lost 120,000 jobs over that period and remained below their November 2022 employment peak. These sector totals do not show that every industry or worker experienced the same conditions.
Infographic 01 · More output, same hours
Ten percent more output, almost the same hours
The US business sector produces much more than three years ago with almost no extra work. The new jobs are mostly in health care.
The last 12 months
Nonfarm business sector, Q2 2025 to Q2 2026
- Outputreal, value added+2.5%
- Productivityoutput per hour+2.2%
- Hours workedall workers+0.2%
Where the jobs went
Payroll jobs, change over 12 months to Sep 2026 (preliminary)
Since Q4 2022: output +10.0%, hours +0.9%, productivity +9.1% (my arithmetic from the BLS indexes). Hiring rate in Aug 2026: 3.3% of jobs (2019 average 3.9%); layoff rate 1.0% (2019: 1.2%). Correlation, not proof of cause.
Sources: BLS, Productivity and Costs Q2 2026 (3 Sep 2026) · BLS, Employment Situation Sep 2026 · BLS, JOLTS Aug 2026.
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Productivity Gains and Worker Outcomes
When output rises faster than hours, businesses are producing more per hour on average. Sustained productivity growth can support economic growth without an equivalent increase in labor input. The figures cited in the report therefore matter to employers and workers, as well as to policymakers tracking output, hiring and pay.
But productivity is not a direct measure of how gains are distributed. The report cites a labor share of 52.8% in the second quarter, describing it as the lowest since records began in 1947, and says real private-sector wages fell 0.6% over the year to September. Those indicators raise questions about workers’ share of business income; they do not, by themselves, explain why the share changed or establish that each worker’s pay fell.
Employment figures also show why a headline growth rate can obscure differences across groups. The report puts overall unemployment at 4.2%, compared with 8.0% for people aged 20 to 24 and 7.0% for Black workers. These are distinct measures for specific populations, not evidence that productivity growth itself caused higher unemployment among them.
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How the Measures Fit Together
Productivity is calculated as output divided by hours worked. A rise can mean more output in the same number of hours, or the same output with fewer hours. It is an economy-wide average for the covered sector and does not say how work changed at a particular company.
The report compares recent performance with earlier periods. It says nonfarm business productivity grew at an average annual rate of 2.1% from the end of 2019, versus 1.5% a year from 2007 to 2019. Its estimate of 10.0% more output and 0.9% more hours since the end of 2022 comes from the author’s arithmetic using BLS indexes, rather than a direct BLS statement of those cumulative totals.
The late-2022 starting point is often used in discussions of generative AI because ChatGPT launched on November 30, 2022. The report also cites an early-October Census Bureau finding that about one in four US businesses said it used AI. A timing overlap between wider AI availability and productivity growth, however, cannot establish that AI drove the change.
AI’s Role Remains Unproven
The data establish that output grew faster than hours in the periods cited. They do not identify the cause. AI investment could be one contributor, but changes in capital investment, industry mix, demand, business organization or other factors may also matter. The report itself says the pattern fits an AI explanation but also fits alternatives.
There are limits to the comparisons. The cumulative output and hours figures are the author’s calculations from BLS indexes, while the GDP growth rate comes from a separate BEA measure and covers a different period. The report does not provide a causal analysis linking AI adoption to productivity or employment outcomes. It also does not establish why some demographic groups have higher unemployment or why the labor share has fallen.
It remains unclear how much of the productivity acceleration will persist, which industries are responsible for it, and whether increased output per hour will translate into stronger real wages or more hiring. The report’s employment and wage figures describe recent outcomes, but do not forecast what will happen next.
Upcoming Data Will Test the Trend
Further quarterly releases from the BLS and BEA will show whether productivity and output growth continue, and whether hours worked and employment begin to rise more quickly. Updated labor-market data can also clarify whether the weak hiring pace and sector differences cited in the report persist.
To evaluate AI’s contribution, headline economic statistics need to be read alongside evidence on business adoption, investment and productivity within industries. The report cites Census Bureau data showing that about one in four US businesses used AI in early October, but that measure alone does not establish how extensively firms used it or whether adoption raised output. Until more detailed evidence is available, the connection between AI and the wider productivity pattern remains an open question.
Key Questions
How much did US business output and hours worked change?
From the fourth quarter of 2022 to the second quarter of 2026, output rose 10.0% and hours worked rose 0.9%, according to calculations from BLS indexes cited by ThorstenMeyerAI.com.
Does the data show that AI caused productivity growth?
No. The figures show output and hours moving at different rates, but they do not establish what caused that difference. AI is one possible explanation alongside other economic and business factors.
What did the latest cited productivity figures show?
For the year to the second quarter of 2026, nonfarm business output grew 2.5%, hours worked increased 0.2%, and productivity rose 2.2%, according to the BLS figures cited in the report.
Is the economy still growing?
The BEA’s advance estimate put real GDP growth at a 3.4% annual rate in the third quarter of 2026, up from 2.2% in the second quarter. GDP is a broader measure than nonfarm business productivity.
Are workers sharing in the gains?
The report cites a 52.8% labor share in the second quarter and a 0.6% decline in real private-sector wages over the year to September. These indicators point to questions about distribution, but do not explain the causes or show how every worker’s pay changed.
Source: ThorstenMeyerAI.com
