ADP Research · Sep 23, 2026
ADP Research reports employment trends by AI exposure and age
Markdown · JSON · Original source
ADP Research published this report on September 23, 2026, drawing on data from the Canaries Dashboard, a project of the and ADP Research. The report says employment in occupations with high exposure to artificial intelligence shrank year over year in August, while employment in the least- grew. Among workers aged 22 to 25, employment contracted overall, with a sharper decline in high-exposure jobs than in least-exposed jobs. The report says employment in high-exposure jobs contracted for 35 straight months, a trend that began in October 2023; employment in their least-exposed jobs also fell, at less than half the pace. For workers aged 26 to 30, employment shrank in high-exposure jobs and was up slightly in least-exposed jobs. The figures describe differing employment trends across the age groups and occupations covered, but the page does not establish that AI caused them. What accounts for these differences remains unknown.
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: Sep 23, 2026 (2026-09-23).
Date basis: Date stated on the publisher’s page.
Added to Escape Meridian: 2026-11-05T15:38:23.703Z. First observed: 2026-10-23T19:47:48.802Z. Retrieved: 2026-10-30T05:55:56.489Z.
Referenced by
Recorded citations and public file attachments. A reference alone does not establish agreement or influence.
No public references recorded here yet.
Limits
The page reports employment changes by but does not establish that AI caused them. Text as retrieved on October 30, 2026; originally published September 23, 2026.
Open question
What accounts for the different employment trends across occupations with higher and lower ?
Source-stated
ADP Research reports that employment in occupations with high exposure to artificial intelligence declined year over year in August, while employment in the least-exposed occupations grew.
Employment in occupations with high exposure to artificial intelligence shrank by 0.6 percent in August from a year earlier, while employment in the least-exposed occupations grew by 0.2 percent
Source-stated
ADP Research reports that workers aged 22 to 25 saw an overall employment contraction, with a larger decline in high-exposure jobs than in least-exposed jobs.
Young workers aged 22 to 25 continued to see negative employment growth overall, with employment contracting by 3.1 percent year over year. For this age group, employment in jobs with high exposure to AI shrank by 4.4 percent, marking 35 straight months of year-over-year contraction
Source-stated
ADP Research reports that employment among workers aged 26 to 30 declined in high-exposure jobs and increased slightly in least-exposed jobs.
For workers aged 26 to 30 in jobs with high exposure to AI, employment shrank by 3.1 percent in August from the year prior. For workers of this age group in the least-exposed jobs, employment was up by 0.1 percent.
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: 19e89d7a-d7cc-1464-6d3c-fccfc2f8c0ef.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-05T15:33:40.157Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model.
Observation: 9979bae086b35d2ef7ee3dc9d17f53f0ebe6a5e7de4d1c5d23083f8731ed9239. Source text hash: 2ff383f6a66abe658a51b552ac9c33435d00094ab10ce4c6efecebb3999351db.
Revision and source-check history
Version 1 · 2026-11-05T15:38:23.703Z
ADP Research reports employment trends by AI exposure and age
ADP Research published this report on September 23, 2026, drawing on data from the Canaries Dashboard, a project of the and ADP Research. The report says employment in occupations with high exposure to artificial intelligence shrank year over year in August, while employment in the least- grew. Among workers aged 22 to 25, employment contracted overall, with a sharper decline in high-exposure jobs than in least-exposed jobs. The report says employment in high-exposure jobs contracted for 35 straight months, a trend that began in October 2023; employment in their least-exposed jobs also fell, at less than half the pace. For workers aged 26 to 30, employment shrank in high-exposure jobs and was up slightly in least-exposed jobs. The figures describe differing employment trends across the age groups and occupations covered, but the page does not establish that AI caused them. What accounts for these differences remains unknown.
Original source
ADP Research · Article
Source details
Original source date: Sep 23, 2026 (2026-09-23).
Date basis: Date stated on the publisher’s page.
Added to Escape Meridian: 2026-11-05T15:38:23.703Z. First observed: 2026-10-23T19:47:48.802Z. Retrieved: 2026-10-30T05:55:56.489Z.
Limits
The page reports employment changes by but does not establish that AI caused them. Text as retrieved on October 30, 2026; originally published September 23, 2026.
Open question
What accounts for the different employment trends across occupations with higher and lower ?
Source-stated
ADP Research reports that employment in occupations with high exposure to artificial intelligence declined year over year in August, while employment in the least-exposed occupations grew.
Employment in occupations with high exposure to artificial intelligence shrank by 0.6 percent in August from a year earlier, while employment in the least-exposed occupations grew by 0.2 percent
Source-stated
ADP Research reports that workers aged 22 to 25 saw an overall employment contraction, with a larger decline in high-exposure jobs than in least-exposed jobs.
Young workers aged 22 to 25 continued to see negative employment growth overall, with employment contracting by 3.1 percent year over year. For this age group, employment in jobs with high exposure to AI shrank by 4.4 percent, marking 35 straight months of year-over-year contraction
Source-stated
ADP Research reports that employment among workers aged 26 to 30 declined in high-exposure jobs and increased slightly in least-exposed jobs.
For workers aged 26 to 30 in jobs with high exposure to AI, employment shrank by 3.1 percent in August from the year prior. For workers of this age group in the least-exposed jobs, employment was up by 0.1 percent.
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: 19e89d7a-d7cc-1464-6d3c-fccfc2f8c0ef.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-05T15:33:40.157Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model.
Observation: 9979bae086b35d2ef7ee3dc9d17f53f0ebe6a5e7de4d1c5d23083f8731ed9239. Source text hash: 2ff383f6a66abe658a51b552ac9c33435d00094ab10ce4c6efecebb3999351db.
passed · 2026-11-05T15:33:40.157Z · anthropic/claude-opus-5.5
Publication: 19e89d7a-d7cc-1464-6d3c-fccfc2f8c0ef
attribution — pass: The reading attributes the figures to an ADP Research publication drawing on the Canaries Dashboard, a joint project of the Stanford Digital Economy Lab and ADP Research. This matches the source. The page 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 summary accurately conveys the directional findings for all workers, ages 22–25 and ages 26–30, including the 35-month streak and that least-exposed jobs fell at less than half the pace. The 35-month sentence follows the 22–25 sentence and refers to 'their' least-exposed jobs, so its scope is reasonably clear. AI exposure is defined in the term library. Omitting the ChatGPT timing reference does not distort the meaning, and the question is open rather than leading.
marking 35 straight months of year-over-year contraction, a trend that began in October 2023
date — pass: The stated date of September 23, 2026 matches evidence.originalPublished at day precision. The evidence is a publisher page, so no archive disclosure is required. Nothing is presented as known after that date. The streak count (October 2023 through August 2026, 35 months) is internally consistent.
support — pass: Each claim is directly supported by the quoted source text. The caveat that the page does not establish AI causation is a fair limitation and adds no unsupported claim. No benefits, costs or forecasts are invented.
Employment also ebbed for workers of this age group in occupations with the least exposure to AI, but at less than half the pace, shrinking 2.0 percent.
media — pass: No media was selected, and no verified media candidates were supplied, so there is no identity or relevance issue.
Challenge or correct this reading
Send a correction or an opposing source with this reading’s URL. Disagreement and uncertainty can remain unresolved.
Stanford 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 referenceIn 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 referenceIn 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 referenceIn 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 referenceIn 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 reference