ADP Research · Aug 19, 2026
ADP Research reports slower employment growth in AI-exposed occupations
Markdown · JSON · Original source
ADP Research published this report on August 19, 2026. It reports that employment in occupations with high exposure to artificial intelligence grew 0.1 percent in July from a year earlier, compared with 1.1 percent in the least-. For workers aged 22 to 25, employment contracted overall, and the report describes a larger decline in high-exposure jobs than in the least-exposed jobs. Among workers aged 26 to 30, employment in high-exposure jobs fell while it rose in the least-exposed jobs. The report’s figures make employment differences by age and occupational exposure visible, with younger workers’ outcomes varying between the groups. The Canaries Dashboard, a project of the and ADP Research, tracks employment changes across occupations with varying degrees of AI exposure. The report does not identify how much of the reported employment changes is attributable to AI rather than other factors.
Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims.
Original source
ADP Research · Article
Source details
Original source date: Aug 19, 2026 (2026-08-19).
Date basis: Date stated on the publisher’s page.
Added to Escape Meridian: 2026-11-06T05:53:23.704Z. First observed: 2026-10-27T15:41:39.349Z. Retrieved: 2026-10-30T07:33:49.745Z.
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Limits
Text as retrieved on October 30, 2026; originally published August 19, 2026. The report presents employment changes by occupation and age group but does not establish what share, if any, was caused by AI. The supplied text does not include the dashboard data or further methodological detail beyond its brief description.
Open question
What share of the employment changes reported by the Canaries Dashboard can be attributed to AI, rather than other factors affecting these occupations and age groups?
Source-stated
ADP Research reports that employment in occupations with high exposure to artificial intelligence grew more slowly than employment in the least-exposed occupations in July, compared with a year earlier.
Employment in occupations with high exposure to artificial intelligence grew 0.1 percent in July from a year earlier, while employment in the least-exposed occupations grew 1.1 percent
Source-stated
The report says employment for workers aged 22 to 25 contracted overall, with a larger decline in high-exposure jobs than in the least-exposed jobs.
employment contracting 1.3 percent year over year. Among these workers, employment in jobs with high exposure to AI fell by 3 percent year over year
Source-stated
The report says employment in high-exposure jobs for workers aged 26 to 30 fell, while it rose in the least-exposed jobs.
employment fell by 2.1 percent in July from the year prior. For this age group in the least-exposed jobs, employment was up 1.8 percent.
Source-stated
The report describes the Canaries Dashboard as a joint project that tracks employment changes across occupations with varying AI exposure.
The Canaries Dashboard, a project of the Stanford Digital Economy Lab and ADP Research, tracks employment changes in occupations with varying degrees of exposure to artificial intelligence.
Source-stated
The report says Stanford and ADP Research use payroll data from private U.S. employers and link it to measures of occupational AI exposure and other variables.
Stanford and ADP Research observe the payroll data of millions of workers in more than 730 unique occupations at tens of thousands of private U.S. employers each month.
Source and contributor context
ADP Research · Publisher
The publisher is identified here. No individual author has been inferred.
Source media
Media retrieval status: unchecked.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
AI exposure
In labor economics, how much of a job's tasks an AI system could in principle perform; it is not a forecast of job loss.
Stanford Digital Economy Lab
Stanford Digital Economy Lab is a university research lab publishing studies on digital technology, employment and the economy.
Editorial provenance
Version 1. Publication ID: 0782260a-56af-d8af-5a4c-aa14f6e6e4de.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-06T05:48:41.473Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model.
Observation: 69f8957f94edc9ccf1aa0fb846fb9b26b068b4a1bbff86242eeff493061605e2. Source text hash: 7ef68e36a2b3d47e6a0b6d78986f8ff025c8f4efc75ab7630dc7a11adc59aaf5.
Revision and source-check history
Version 1 · 2026-11-06T05:53:23.704Z
ADP Research reports slower employment growth in AI-exposed occupations
ADP Research published this report on August 19, 2026. It reports that employment in occupations with high exposure to artificial intelligence grew 0.1 percent in July from a year earlier, compared with 1.1 percent in the least-. For workers aged 22 to 25, employment contracted overall, and the report describes a larger decline in high-exposure jobs than in the least-exposed jobs. Among workers aged 26 to 30, employment in high-exposure jobs fell while it rose in the least-exposed jobs. The report’s figures make employment differences by age and occupational exposure visible, with younger workers’ outcomes varying between the groups. The Canaries Dashboard, a project of the and ADP Research, tracks employment changes across occupations with varying degrees of AI exposure. The report does not identify how much of the reported employment changes is attributable to AI rather than other factors.
Original source
ADP Research · Article
Source details
Original source date: Aug 19, 2026 (2026-08-19).
Date basis: Date stated on the publisher’s page.
Added to Escape Meridian: 2026-11-06T05:53:23.704Z. First observed: 2026-10-27T15:41:39.349Z. Retrieved: 2026-10-30T07:33:49.745Z.
Limits
Text as retrieved on October 30, 2026; originally published August 19, 2026. The report presents employment changes by occupation and age group but does not establish what share, if any, was caused by AI. The supplied text does not include the dashboard data or further methodological detail beyond its brief description.
Open question
What share of the employment changes reported by the Canaries Dashboard can be attributed to AI, rather than other factors affecting these occupations and age groups?
Source-stated
ADP Research reports that employment in occupations with high exposure to artificial intelligence grew more slowly than employment in the least-exposed occupations in July, compared with a year earlier.
Employment in occupations with high exposure to artificial intelligence grew 0.1 percent in July from a year earlier, while employment in the least-exposed occupations grew 1.1 percent
Source-stated
The report says employment for workers aged 22 to 25 contracted overall, with a larger decline in high-exposure jobs than in the least-exposed jobs.
employment contracting 1.3 percent year over year. Among these workers, employment in jobs with high exposure to AI fell by 3 percent year over year
Source-stated
The report says employment in high-exposure jobs for workers aged 26 to 30 fell, while it rose in the least-exposed jobs.
employment fell by 2.1 percent in July from the year prior. For this age group in the least-exposed jobs, employment was up 1.8 percent.
Source-stated
The report describes the Canaries Dashboard as a joint project that tracks employment changes across occupations with varying AI exposure.
The Canaries Dashboard, a project of the Stanford Digital Economy Lab and ADP Research, tracks employment changes in occupations with varying degrees of exposure to artificial intelligence.
Source-stated
The report says Stanford and ADP Research use payroll data from private U.S. employers and link it to measures of occupational AI exposure and other variables.
Stanford and ADP Research observe the payroll data of millions of workers in more than 730 unique occupations at tens of thousands of private U.S. employers each month.
Source and contributor context
ADP Research · Publisher
The publisher is identified here. No individual author has been inferred.
Source media
Media retrieval status: unchecked.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
AI exposure
In labor economics, how much of a job's tasks an AI system could in principle perform; it is not a forecast of job loss.
Stanford Digital Economy Lab
Stanford Digital Economy Lab is a university research lab publishing studies on digital technology, employment and the economy.
Editorial provenance
Version 1. Publication ID: 0782260a-56af-d8af-5a4c-aa14f6e6e4de.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-06T05:48:41.473Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model.
Observation: 69f8957f94edc9ccf1aa0fb846fb9b26b068b4a1bbff86242eeff493061605e2. Source text hash: 7ef68e36a2b3d47e6a0b6d78986f8ff025c8f4efc75ab7630dc7a11adc59aaf5.
passed · 2026-11-06T05:48:41.473Z · anthropic/claude-opus-5.5
Publication: 0782260a-56af-d8af-5a4c-aa14f6e6e4de
attribution — pass: The reading attributes the figures to ADP Research and correctly identifies the Canaries Dashboard as a joint project of the Stanford Digital Economy Lab and ADP Research. It is a single report, not a listing.
according to new data from the Canaries Dashboard, a project of the Stanford Digital Economy Lab and ADP Research
summary — pass: The reading accurately conveys the headline comparison and the age-group breakdowns. AI exposure is defined beside the reading. One minor issue: 'a larger decline in high-exposure jobs than in the least-exposed jobs' could imply the least-exposed group fell, when the source says it was flat. The reading also omits the source's most striking stake, 34 straight months of contraction for young workers in high-exposure jobs. Smallest repair: state that least-exposed employment was flat and add the 34-month streak. Neither issue makes the reading misleading.
marking 34 straight months of contraction, a trend that began in October 2023
date — pass: The reading gives August 19, 2026, which matches evidence.originalPublished at day precision. The evidence is a publisher page, not an archive copy. The reading uses no hindsight framing and reports no later events.
support — pass: Each claim is grounded in quoted source text. The limitation and question about causal attribution are stated as unknowns, not as assertions. The reading adds no unsupported benefits, costs or forecasts.
Employment in occupations with high exposure to artificial intelligence grew 0.1 percent in July from a year earlier, while employment in the least-exposed occupations grew 1.1 percent
media — pass: No media was selected, and no verified media candidates were supplied, so nothing invented or mismatched is attached.
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In labor economics, how much of a job's tasks an AI system could in principle perform; it is not a forecast of job loss.
Definition referenceStanford Digital Economy Lab is a university research lab publishing studies on digital technology, employment and the economy.
Explore Stanford Digital Economy LabIn labor economics, how much of a job's tasks an AI system could in principle perform; it is not a forecast of job loss.
Definition referenceStanford Digital Economy Lab is a university research lab publishing studies on digital technology, employment and the economy.
Explore Stanford Digital Economy Lab