🔍 Read the full analysis: What The Latest US Data Says About AI And Economic Growth on ThorstenMeyerAI.com
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TL;DR
U.S. economic output and productivity have grown while hours worked and hiring have increased much more slowly. The figures are consistent with AI contributing to productivity gains, but they do not show that AI caused the gap; uneven job growth and falling real wages add to concerns about who benefits.
U.S. output and productivity are rising while businesses use only slightly more labor, according to government data reviewed in a November 1 report by Thorsten Meyer. The figures show a strong economy alongside modest hiring and uneven wage outcomes, but they do not establish that artificial intelligence caused the pattern.
The Bureau of Economic Analysis’ October 29 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. Investment, consumer spending and government spending all contributed. The source report says computers and software accounted for about a third of third-quarter growth, much of it connected to AI investment; that interpretation does not by itself measure AI’s effect on productivity or jobs.
For the nonfarm business sector, the Bureau of Labor Statistics reported that output rose 2.5% over the year to the second quarter of 2026, while hours worked increased 0.2%. Productivity—the amount of output produced per hour—rose 2.2% over that period. The report calculates from BLS indexes that, between the fourth quarter of 2022 and the second quarter of 2026, output increased 10.0% and hours worked 0.9%, a period that begins around the public launch of ChatGPT.
Employment and pay figures offer a more mixed picture. Payrolls increased by 496,000 in the 12 months to September, while health care and social assistance added 520,000 jobs. Information industries lost 120,000 jobs over the period and remained 12% below their November 2022 peak. The report also cites a 4.2% overall unemployment rate, compared with 8.0% for workers aged 20 to 24 and 7.0% for Black workers, and says real private-sector wages fell 0.6% over the year to September.
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, Uneven Payoffs
Productivity growth can allow an economy to produce more without increasing working hours at the same pace. The effects on living standards depend in part on how productivity gains are distributed through wages, benefits and employment opportunities. The report puts labor’s share of business output at 52.8% in the second quarter, its lowest level in the BLS series that began in 1947, and reports a decline in real private-sector wages.
Employment changes varied by industry. Health care and social assistance added more jobs than the net increase in payrolls across the economy, while information-sector employment contracted. These shifts may reflect technological adoption as well as changes in demand, investment, industry structure and other factors. The report also cites higher unemployment among workers aged 20 to 24 than in the overall workforce.
Productivity statistics measure output relative to hours worked; they do not identify the cause of a change or show how its benefits are shared. The data presented in the report do not establish that AI drove productivity growth or caused job displacement.
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The Post-2022 Productivity Comparison
The report uses the fourth quarter of 2022 as a reference point because ChatGPT launched on November 30 of that year. From then through the second quarter of 2026, its calculations from BLS indexes show business output rising 10.0% and hours worked rising 0.9%. Those figures describe the period; they do not isolate AI from other influences on production.
Longer-term comparisons in the report show productivity growing at an average annual rate of 2.1% since the end of 2019, compared with 1.5% a year from 2007 to 2019. The BLS productivity measure covers the nonfarm business sector—private businesses excluding farms—and should not be read as a measure of every part of the economy.
AI use is not yet universal. The report cites an early-October Census Bureau measure in which about one in four U.S. businesses said it used AI. It also notes that technology-sector job declines began before generative AI was widely used in businesses. These points complicate any simple account in which AI alone explains recent employment patterns.
“Output grew 2.5% and hours worked only 0.2% over the year to the second quarter of 2026.”
— Thorsten Meyer, summarizing the Bureau of Labor Statistics data
AI’s Role Remains Unproven
The figures show productivity growth and subdued labor growth occurring during a period of rapid AI development, but they do not establish cause and effect. The available numbers do not separate AI’s contribution from other changes in technology, investment, demand, business practices or the composition of employment. Nor does a survey finding that about one-quarter of businesses use AI show how extensively they use it or whether it has replaced workers.
The source report also says that information-sector employment losses began before generative AI was in wide business use. That timing cautions against attributing all subsequent job changes to AI. The data cited here cannot determine whether current productivity gains will persist, how they will affect hiring over time, or whether lower real wages and labor’s smaller output share are temporary or lasting developments.
Upcoming Data Will Test the Pattern
The picture will depend on new releases of national accounts, labor-market and productivity statistics. Future BLS reports can show whether productivity continues to outpace hours worked and whether employment weakness broadens beyond the information sector. New payroll, wage and unemployment figures will help clarify whether hiring and workers’ purchasing power improve.
Further Census Bureau measures of business AI use may add information about adoption, but adoption rates alone will not establish effects on jobs or output. A stronger assessment will require evidence connecting firms’ AI use to changes in productivity, staffing and pay over time, while accounting for other economic changes. Until that evidence is available, the latest data support a description of growth with limited labor expansion—not a settled explanation centered on AI.
Key Questions
Did AI cause the recent increase in U.S. productivity?
The data cited do not establish that. Productivity rose during the period of growing AI use, but the figures do not isolate AI’s effect from other factors.
How fast did the U.S. economy grow in the third quarter of 2026?
The BEA’s advance estimate put real GDP growth at a 3.4% annual rate in the third quarter, up from 2.2% in the second quarter.
What happened to output and hours worked after ChatGPT launched?
Using BLS indexes, the source report calculates that from the fourth quarter of 2022 to the second quarter of 2026, nonfarm business output rose 10.0% and hours worked rose 0.9%. That comparison does not prove AI caused the difference.
Are U.S. businesses widely using AI?
The report cites an early-October Census Bureau measure showing that about one in four U.S. businesses said it used AI. The cited figure does not describe the extent or economic effect of that use.
Are workers sharing in the growth?
The indicators in the report are mixed. It cites a 0.6% year-over-year fall in real private-sector wages through September and a 52.8% labor share in the second quarter, alongside strong output growth. Those figures do not, on their own, explain the causes or show how gains are distributed across all workers.
Source: ThorstenMeyerAI.com
