· Oct 9, 2025
Guillermo Gallacher and Yusuke Aoki argue in Indeed Hiring Lab that AI-era training is uneven
Markdown · JSON · Original source
Originally published on October 9, 2025, Guillermo Gallacher and Yusuke Aoki argue that employer-advertised training is becoming more common in US job postings, but is unevenly distributed. reports that postings mentioning training rose from 3.4% in January 2018 to 8.1% in August 2025. The authors say these offers are more common in occupations with lower education, experience and wage requirements, and less common in roles with greater and adoption. The authors identify a potential mismatch: jobs more likely to be reshaped by AI are also those where employers appear less inclined to advertise training. They warn that this could limit workers’ ability to adapt as technologies evolve. Their measure counts training explicitly stated in postings; it does not establish how much training workers receive or whether it prepares them for changing work. The authors also say the reasons for the rise in training mentions are difficult to disentangle, and cannot determine how much refers to day-one onboarding rather than longer-term learning.
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
· Article
Source details
Original source date: Oct 9, 2025 (2025-10-09).
Date basis: Date from the publisher’s archive: its article address or archive listing.
Added to Escape Meridian: 2026-11-11T22:03:23.298Z. First observed: 2026-10-30T20:12:32.692Z. Retrieved: 2026-10-30T21:22:06.235Z.
Referenced by
Recorded citations and public file attachments. A reference alone does not establish agreement or influence.
No public references recorded here yet.
Limits
Text as retrieved on October 30, 2026; originally published October 9, 2025. The analysis measures training explicitly mentioned in job postings; it does not establish how much training workers receive or its effects on their skills or work. The authors say the reasons for the increase in training mentions are difficult to disentangle.
Open question
How much of the training employers mention in job postings is day-one onboarding, and how much supports longer-term learning?
Source-stated
Guillermo Gallacher and Yusuke Aoki report that the share of US job postings mentioning training rose from 3.4% in January 2018 to 8.1% in August 2025.
The share of US job postings mentioning training programs rose from 3.4% in January 2018 to 8.1% in August 2025.
Source-stated
The authors say training offers are more common in occupations with lower education, experience and wage requirements, and in roles with lower AI exposure and adoption.
Training opportunities cluster in jobs requiring lower education, experience, and wages, as well as jobs that have lower AI exposure and adoption.
Source-stated
The authors identify a potential mismatch: roles more likely to be reshaped by AI are also those where employers appear least inclined to advertise training, potentially limiting workers’ ability to adapt.
the roles most likely to be reshaped by AI are also the ones where employers appear least inclined to advertise training, potentially limiting workers’ ability to adapt as technologies evolve.
Source-stated
The authors say it is difficult to determine whether training mentioned in postings is day-one onboarding or longer-term training.
It is difficult to disentangle how much of the training mentioned in postings is just about day one onboarding vs. longer-term training
Source-stated
The source defines its training measure as training explicitly stated as provided by the employer, including on-the-job training and certain no-cost training programs.
Training refers to types of training explicitly stated as being provided by the employer. This includes on-the-job training (OJT) as well as training programs offered at no cost to the worker
Source and contributor context
Indeed Hiring Lab · 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.
Indeed Hiring Lab
Indeed Hiring Lab is the economic research arm of the job site Indeed, publishing analyses of job postings, wages and hiring trends.
Editorial provenance
Version 1. Publication ID: 4b358d3d-2276-1b5a-2d74-dba732ec0702.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-11T21:58:38.260Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model.
Observation: 2d964dbb51ff65a0588ad6779ae547378b00c503aae098de0072183c2b52180b. Source text hash: 632eb66f1491cc280242dabe0b5cd136b1117a64ae5903af977533b4f45e0186.
Revision and source-check history
Version 1 · 2026-11-11T22:03:23.298Z
Guillermo Gallacher and Yusuke Aoki argue in Indeed Hiring Lab that AI-era training is uneven
Originally published on October 9, 2025, Guillermo Gallacher and Yusuke Aoki argue that employer-advertised training is becoming more common in US job postings, but is unevenly distributed. reports that postings mentioning training rose from 3.4% in January 2018 to 8.1% in August 2025. The authors say these offers are more common in occupations with lower education, experience and wage requirements, and less common in roles with greater and adoption. The authors identify a potential mismatch: jobs more likely to be reshaped by AI are also those where employers appear less inclined to advertise training. They warn that this could limit workers’ ability to adapt as technologies evolve. Their measure counts training explicitly stated in postings; it does not establish how much training workers receive or whether it prepares them for changing work. The authors also say the reasons for the rise in training mentions are difficult to disentangle, and cannot determine how much refers to day-one onboarding rather than longer-term learning.
Original source
· Article
Source details
Original source date: Oct 9, 2025 (2025-10-09).
Date basis: Date from the publisher’s archive: its article address or archive listing.
Added to Escape Meridian: 2026-11-11T22:03:23.298Z. First observed: 2026-10-30T20:12:32.692Z. Retrieved: 2026-10-30T21:22:06.235Z.
Limits
Text as retrieved on October 30, 2026; originally published October 9, 2025. The analysis measures training explicitly mentioned in job postings; it does not establish how much training workers receive or its effects on their skills or work. The authors say the reasons for the increase in training mentions are difficult to disentangle.
Open question
How much of the training employers mention in job postings is day-one onboarding, and how much supports longer-term learning?
Source-stated
Guillermo Gallacher and Yusuke Aoki report that the share of US job postings mentioning training rose from 3.4% in January 2018 to 8.1% in August 2025.
The share of US job postings mentioning training programs rose from 3.4% in January 2018 to 8.1% in August 2025.
Source-stated
The authors say training offers are more common in occupations with lower education, experience and wage requirements, and in roles with lower AI exposure and adoption.
Training opportunities cluster in jobs requiring lower education, experience, and wages, as well as jobs that have lower AI exposure and adoption.
Source-stated
The authors identify a potential mismatch: roles more likely to be reshaped by AI are also those where employers appear least inclined to advertise training, potentially limiting workers’ ability to adapt.
the roles most likely to be reshaped by AI are also the ones where employers appear least inclined to advertise training, potentially limiting workers’ ability to adapt as technologies evolve.
Source-stated
The authors say it is difficult to determine whether training mentioned in postings is day-one onboarding or longer-term training.
It is difficult to disentangle how much of the training mentioned in postings is just about day one onboarding vs. longer-term training
Source-stated
The source defines its training measure as training explicitly stated as provided by the employer, including on-the-job training and certain no-cost training programs.
Training refers to types of training explicitly stated as being provided by the employer. This includes on-the-job training (OJT) as well as training programs offered at no cost to the worker
Source and contributor context
Indeed Hiring Lab · 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.
Indeed Hiring Lab
Indeed Hiring Lab is the economic research arm of the job site Indeed, publishing analyses of job postings, wages and hiring trends.
Editorial provenance
Version 1. Publication ID: 4b358d3d-2276-1b5a-2d74-dba732ec0702.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-11T21:58:38.260Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model.
Observation: 2d964dbb51ff65a0588ad6779ae547378b00c503aae098de0072183c2b52180b. Source text hash: 632eb66f1491cc280242dabe0b5cd136b1117a64ae5903af977533b4f45e0186.
passed · 2026-11-11T21:58:38.260Z · anthropic/claude-opus-5.5
Publication: 4b358d3d-2276-1b5a-2d74-dba732ec0702
attribution — pass: The reading correctly attributes the analysis to Guillermo Gallacher and Yusuke Aoki at Indeed Hiring Lab, matching the byline. Their claims and warnings are reported as the authors' own, not as established fact. The source is a single analytical piece, not a listing.
By Guillermo Gallacher & Yusuke Aoki
summary — pass: The reading leads with the actors and the development: training mentions rose, but unevenly. It then states the authors' mismatch argument and its stake, workers' ability to adapt. It keeps the authors' caveats about drivers and onboarding versus longer-term training. AI exposure is defined on the page. AI adoption is used in plain wording and is readable in context. The question follows directly from the source's stated uncertainty.
The data reveals a mismatch: employers advertise training least in fields where AI disruption may make such support most critical.
date — pass: October 9, 2025 matches the source dateline at day precision. The reading presents nothing after that date. The carousel titles at the end of the page are not used. The page's dateModified of the next day does not affect any claim, and no editedAfterPublication flag is set. The source is a publisher page, so no archive disclosure is needed.
October 9, 2025
support — pass: Each claim matches the source's own wording: the 3.4% to 8.1% rise, the clustering in lower-education and lower-AI-exposure jobs, the hedged mismatch warning, the onboarding uncertainty and the methodology definition. The limitation that postings do not show training actually received is a fair reading of the measure, which counts only training explicitly stated in postings, and is not overstated.
Hiring Lab measured the share of job postings on Indeed that explicitly mention on-the-job training opportunities
media — pass: No media is selected, and no verified media candidates were supplied. That is appropriate.
Challenge or correct this reading
Send a correction or an opposing source with this reading’s URL. Disagreement and uncertainty can remain unresolved.
Indeed Hiring Lab is the economic research arm of the job site Indeed, publishing analyses of job postings, wages and hiring trends.
Explore Indeed Hiring LabIndeed Hiring Lab is the economic research arm of the job site Indeed, publishing analyses of job postings, wages and hiring trends.
Explore Indeed Hiring 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 referenceIndeed Hiring Lab is the economic research arm of the job site Indeed, publishing analyses of job postings, wages and hiring trends.
Explore Indeed Hiring LabIndeed Hiring Lab is the economic research arm of the job site Indeed, publishing analyses of job postings, wages and hiring trends.
Explore Indeed Hiring 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 referenceIndeed Hiring Lab is the economic research arm of the job site Indeed, publishing analyses of job postings, wages and hiring trends.
Explore Indeed Hiring Lab