ADP Research · Jul 22, 2026
ADP Research reports employment declines in AI-exposed occupations
Markdown · JSON · Original source
ADP Research published this dashboard on July 22, 2026. The Canaries Dashboard, a project of the and ADP Research, tracks employment in occupations with different degrees of . ADP Research reports that employment in highly exposed occupations contracted year over year in June, while employment in the least-exposed occupations grew. The source also reports declines among workers aged 22 to 25 and 26 to 30 in highly exposed jobs, alongside flat or growing employment for those ages in least-exposed jobs. For workers aged 22 to 25, the source says the contraction had continued for 33 straight months, beginning in October 2023. These figures describe employment changes by occupation and age; the source does not establish that AI caused them. The dashboard’s figures offer a way to track employment patterns, but the source does not explain how it measures exposure or what accounts for the differences.
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: Jul 22, 2026 (2026-07-22).
Date basis: Date stated on the publisher’s page.
Added to Escape Meridian: 2026-11-06T07:43:26.083Z. First observed: 2026-10-23T23:45:44.306Z. Retrieved: 2026-10-30T06:30:04.284Z.
Referenced by
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No public references recorded here yet.
Limits
Text as retrieved on October 30, 2026; originally published July 22, 2026. The source reports employment changes by but does not establish that AI caused them. The source does not explain how the Canaries Dashboard determines degrees of AI exposure. The supplied evidence contains no methodology or underlying data.
Open question
How does the Canaries Dashboard determine an occupation’s degree of ?
Source-stated
The Canaries Dashboard is a project of the Stanford Digital Economy Lab and ADP Research, and tracks employment changes in occupations with varying degrees of 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
ADP Research reports that employment in highly AI-exposed occupations contracted year over year in June, while employment in least-exposed occupations grew.
Employment in occupations with high exposure to AI contracted 0.2 percent in June from a year earlier, according to new data from the Canaries Dashboard, a project of the Stanford Digital Economy Lab and ADP Research. Employment in the least-exposed occupations grew by 0.6 percent year over year.
Source-stated
The source reports that employment for workers aged 22 to 25 in highly AI-exposed jobs fell year over year, while employment for that age group in least-exposed jobs was flat.
Among workers aged 22 to 25, employment in jobs with high exposure to AI fell by 4.3 percent year over year, marking 33 straight months of contraction, a trend that began in October 2023. Among those workers whose jobs are the least-exposed to AI, employment was flat year over year.
Source-stated
The source reports that employment for workers aged 26 to 30 in highly exposed jobs fell year over year, while employment in least-exposed jobs rose.
For early career workers aged 26 to 30 in jobs with high exposure to AI, employment fell by 2.6 percent in June from the year prior. For these workers in the least-exposed jobs, employment was up nearly 0.9 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: 39988488-2bcd-6194-9590-ab120b959edd.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-06T07:39:04.379Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model.
Observation: 4333cc71fe0892cc3ddae75c0f70c08bbfdc83b73dd9f2dfa03ac259defe6c4f. Source text hash: 73a3a7c97e74219e98903c08bf24ccdfd23b377e135eee29349827253042521c.
Revision and source-check history
Version 1 · 2026-11-06T07:43:26.083Z
ADP Research reports employment declines in AI-exposed occupations
ADP Research published this dashboard on July 22, 2026. The Canaries Dashboard, a project of the and ADP Research, tracks employment in occupations with different degrees of . ADP Research reports that employment in highly exposed occupations contracted year over year in June, while employment in the least-exposed occupations grew. The source also reports declines among workers aged 22 to 25 and 26 to 30 in highly exposed jobs, alongside flat or growing employment for those ages in least-exposed jobs. For workers aged 22 to 25, the source says the contraction had continued for 33 straight months, beginning in October 2023. These figures describe employment changes by occupation and age; the source does not establish that AI caused them. The dashboard’s figures offer a way to track employment patterns, but the source does not explain how it measures exposure or what accounts for the differences.
Original source
ADP Research · Article
Source details
Original source date: Jul 22, 2026 (2026-07-22).
Date basis: Date stated on the publisher’s page.
Added to Escape Meridian: 2026-11-06T07:43:26.083Z. First observed: 2026-10-23T23:45:44.306Z. Retrieved: 2026-10-30T06:30:04.284Z.
Limits
Text as retrieved on October 30, 2026; originally published July 22, 2026. The source reports employment changes by but does not establish that AI caused them. The source does not explain how the Canaries Dashboard determines degrees of AI exposure. The supplied evidence contains no methodology or underlying data.
Open question
How does the Canaries Dashboard determine an occupation’s degree of ?
Source-stated
The Canaries Dashboard is a project of the Stanford Digital Economy Lab and ADP Research, and tracks employment changes in occupations with varying degrees of 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
ADP Research reports that employment in highly AI-exposed occupations contracted year over year in June, while employment in least-exposed occupations grew.
Employment in occupations with high exposure to AI contracted 0.2 percent in June from a year earlier, according to new data from the Canaries Dashboard, a project of the Stanford Digital Economy Lab and ADP Research. Employment in the least-exposed occupations grew by 0.6 percent year over year.
Source-stated
The source reports that employment for workers aged 22 to 25 in highly AI-exposed jobs fell year over year, while employment for that age group in least-exposed jobs was flat.
Among workers aged 22 to 25, employment in jobs with high exposure to AI fell by 4.3 percent year over year, marking 33 straight months of contraction, a trend that began in October 2023. Among those workers whose jobs are the least-exposed to AI, employment was flat year over year.
Source-stated
The source reports that employment for workers aged 26 to 30 in highly exposed jobs fell year over year, while employment in least-exposed jobs rose.
For early career workers aged 26 to 30 in jobs with high exposure to AI, employment fell by 2.6 percent in June from the year prior. For these workers in the least-exposed jobs, employment was up nearly 0.9 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: 39988488-2bcd-6194-9590-ab120b959edd.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-06T07:39:04.379Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model.
Observation: 4333cc71fe0892cc3ddae75c0f70c08bbfdc83b73dd9f2dfa03ac259defe6c4f. Source text hash: 73a3a7c97e74219e98903c08bf24ccdfd23b377e135eee29349827253042521c.
passed · 2026-11-06T07:39:04.379Z · anthropic/claude-opus-5.5
Publication: 39988488-2bcd-6194-9590-ab120b959edd
attribution — pass: The reading attributes the figures to ADP Research and the Canaries Dashboard, which it correctly identifies as a joint project of the Stanford Digital Economy Lab and ADP Research. This is a single publisher article, 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 clearly states the actor, the development and the age breakdowns. AI exposure is defined in the page definitions. The reading omits the exact percentages (0.2, 0.6, 4.3, 2.6, 0.9), but the direction of each change is accurate. The phrase 'published this dashboard' loosely describes what is a monthly update article about an existing dashboard. Neither point misleads materially. The question is a genuine open issue that follows from the evidence.
Beginning today, ADP Research will update our readers on the dashboard’s top line findings each month.
date — pass: July 22, 2026 matches evidence.originalPublished at day precision. The date is consistent with the source's same-day webinar reference. The figures are framed as June data with no hindsight. The page is a publisher page, not an archive copy, and the retrieval date is disclosed.
To learn more, tune into our July 22 webinar at noon ET / 9 a.m. PT.
support — pass: Each claim is directly supported by the source text. The caveats about causation and the missing exposure methodology are accurate descriptions of what the supplied text lacks. They do not invent counterclaims. No benefits or costs are asserted beyond the evidence.
Among workers aged 22 to 25, employment in jobs with high exposure to AI fell by 4.3 percent year over year, marking 33 straight months of contraction, a trend that began in October 2023.
media — pass: No media was selected, and no verified candidates were supplied, so there is nothing to mismatch.
Challenge or correct this reading
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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