ADP Research · Apr 23, 2026
ADP Research reports mixed effects of AI use at work
Markdown · JSON · Original source
ADP Research’s article, published April 23, 2026, reports findings from its 2025 Global Workforce Survey on workers’ use of AI. The survey found that frequent users were more engaged, reported less stress and felt more positive about their teams, but did not report feeling more productive. Daily users were more likely than non-users to say they were less productive than they could be. ADP Research says it cannot measure these workers’ actual productivity; it suggests that using AI could make people feel they have done less of the work themselves, even if productivity increased. The article also reports that workers who used AI more often were more confident their jobs were safe from elimination, while young workers, including frequent users, were less optimistic about job security. It cites separate research linking AI adoption with slower job creation among young workers in some sectors. ADP Research concludes that organizations could benefit from helping employees become familiar with AI and encouraging its use where applicable. It presents AI as a possible teammate that may help workers feel more engaged and less stressed, while emphasizing that many questions remain.
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: Apr 23, 2026 (2026-04-23).
Date basis: Date stated on the publisher’s page.
Added to Escape Meridian: 2026-11-07T11:28:23.712Z. First observed: 2026-10-24T00:51:56.223Z. Retrieved: 2026-10-30T07:11:45.599Z.
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 April 23, 2026. ADP Research says it has no way of measuring the actual productivity of the workers surveyed, so the reported perceptions do not establish whether AI increased or decreased actual productivity. The article says it cannot predict how AI will affect jobs. It cites research on slower job creation among young workers in some sectors, but the excerpt gives no further detail about that research.
Open question
How does AI use affect workers’ actual productivity, given that frequent users report feeling less productive but ADP Research says it cannot measure their productivity?
Source-stated
ADP Research reports that frequent AI users were more engaged, less stressed, and more positive about their teams, but did not report feeling more productive.
frequent users of AI were more engaged, less stressed, and more positive about their teammates. But they didn’t necessarily feel more productive.
Source-stated
ADP Research says it could not measure workers’ actual productivity and suggests that AI use might affect how much work people feel they have done.
While we have no way of measuring the actual productivity of these workers, it’s possible that the more people use AI to get their work done, the more it feels like they’ve accomplished less
Source-stated
ADP Research reports that daily AI users were four times as likely as non-users to say they were less productive than they could be.
daily users of AI were four times as likely as non-users of AI to say they were less productive than they could be.
Source-stated
ADP Research reports that workers using AI more often were more confident that their jobs were safe from elimination, while young workers, including frequent users, were less optimistic about job security.
as the frequency of AI use increased, workers were more likely to say with confidence that their jobs were safe from elimination. Even so, young workers, including frequent users of AI, are less optimistic about their job security.
Source-stated
ADP Research concludes that organizations could benefit by helping employees become familiar with AI and encouraging its use where applicable.
organizations could benefit by helping their employees become more familiar with the technology and encouraging its use, where applicable.
Source-stated
ADP Research reports that its 2025 Global Workforce Survey found positive worker outcomes alongside a gap between AI’s expected benefits and reported productivity.
our 2025 Global Workforce Survey found some positive outcomes for workers, such as higher engagement and less stress. But it also revealed a gap between an AI promise and reality.
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.
Editorial provenance
Version 1. Publication ID: 1c3b9ea0-4193-22a7-1ddb-7242ec5acc19.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-07T11:23:38.413Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model.
Observation: 46bb6cdcd5bfa29bcf8cc77c44c9caffdd1d1dd1bd7137b4322e8e73e5df8a81. Source text hash: c0a0a3e0574ebe45e5e46a25c9d1bec146e06649b792583ad31115c31aeb560f.
Revision and source-check history
Version 1 · 2026-11-07T11:28:23.712Z
ADP Research reports mixed effects of AI use at work
ADP Research’s article, published April 23, 2026, reports findings from its 2025 Global Workforce Survey on workers’ use of AI. The survey found that frequent users were more engaged, reported less stress and felt more positive about their teams, but did not report feeling more productive. Daily users were more likely than non-users to say they were less productive than they could be. ADP Research says it cannot measure these workers’ actual productivity; it suggests that using AI could make people feel they have done less of the work themselves, even if productivity increased. The article also reports that workers who used AI more often were more confident their jobs were safe from elimination, while young workers, including frequent users, were less optimistic about job security. It cites separate research linking AI adoption with slower job creation among young workers in some sectors. ADP Research concludes that organizations could benefit from helping employees become familiar with AI and encouraging its use where applicable. It presents AI as a possible teammate that may help workers feel more engaged and less stressed, while emphasizing that many questions remain.
Original source
ADP Research · Article
Source details
Original source date: Apr 23, 2026 (2026-04-23).
Date basis: Date stated on the publisher’s page.
Added to Escape Meridian: 2026-11-07T11:28:23.712Z. First observed: 2026-10-24T00:51:56.223Z. Retrieved: 2026-10-30T07:11:45.599Z.
Limits
Text as retrieved on October 30, 2026; originally published April 23, 2026. ADP Research says it has no way of measuring the actual productivity of the workers surveyed, so the reported perceptions do not establish whether AI increased or decreased actual productivity. The article says it cannot predict how AI will affect jobs. It cites research on slower job creation among young workers in some sectors, but the excerpt gives no further detail about that research.
Open question
How does AI use affect workers’ actual productivity, given that frequent users report feeling less productive but ADP Research says it cannot measure their productivity?
Source-stated
ADP Research reports that frequent AI users were more engaged, less stressed, and more positive about their teams, but did not report feeling more productive.
frequent users of AI were more engaged, less stressed, and more positive about their teammates. But they didn’t necessarily feel more productive.
Source-stated
ADP Research says it could not measure workers’ actual productivity and suggests that AI use might affect how much work people feel they have done.
While we have no way of measuring the actual productivity of these workers, it’s possible that the more people use AI to get their work done, the more it feels like they’ve accomplished less
Source-stated
ADP Research reports that daily AI users were four times as likely as non-users to say they were less productive than they could be.
daily users of AI were four times as likely as non-users of AI to say they were less productive than they could be.
Source-stated
ADP Research reports that workers using AI more often were more confident that their jobs were safe from elimination, while young workers, including frequent users, were less optimistic about job security.
as the frequency of AI use increased, workers were more likely to say with confidence that their jobs were safe from elimination. Even so, young workers, including frequent users of AI, are less optimistic about their job security.
Source-stated
ADP Research concludes that organizations could benefit by helping employees become familiar with AI and encouraging its use where applicable.
organizations could benefit by helping their employees become more familiar with the technology and encouraging its use, where applicable.
Source-stated
ADP Research reports that its 2025 Global Workforce Survey found positive worker outcomes alongside a gap between AI’s expected benefits and reported productivity.
our 2025 Global Workforce Survey found some positive outcomes for workers, such as higher engagement and less stress. But it also revealed a gap between an AI promise and reality.
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.
Editorial provenance
Version 1. Publication ID: 1c3b9ea0-4193-22a7-1ddb-7242ec5acc19.
Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-07T11:23:38.413Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: bridge_admitted_by_model.
Observation: 46bb6cdcd5bfa29bcf8cc77c44c9caffdd1d1dd1bd7137b4322e8e73e5df8a81. Source text hash: c0a0a3e0574ebe45e5e46a25c9d1bec146e06649b792583ad31115c31aeb560f.
passed · 2026-11-07T11:23:38.413Z · anthropic/claude-opus-5.5
Publication: 1c3b9ea0-4193-22a7-1ddb-7242ec5acc19
attribution — pass: The reading consistently attributes the survey findings, the interpretation and the recommendation to ADP Research, which matches the publisher page. The cited Stanford work is described as separate research, not as ADP's own.
our 2025 Global Workforce Survey found some positive outcomes for workers, such as higher engagement and less stress.
summary — pass: A general reader can follow the summary: the actor, the survey, the central tension between engagement or stress and perceived productivity, ADP's conditional explanation, and the job-security findings are stated plainly. The question addresses a genuine unresolved issue that the source itself raises. No unexplained central jargon.
Productivity might in fact have increased, but people might perceive that they are doing less of the work themselves.
date — pass: The reading gives April 23, 2026, which matches evidence.originalPublished at day precision. It notes the October 30, 2026 retrieval. The evidence is a publisher page, not an archive copy, and the reading uses no later events or hindsight framing.
support — pass: Each claim matches the source text: engagement and stress differences, the fourfold rate of reported lower productivity, the inability to measure actual productivity, the job-confidence and young-worker findings, and the recommendation. ADP's speculation about perceived work is kept conditional. The reading adds no unsupported benefits or costs.
daily users of AI were four times as likely as non-users of AI to say they were less productive than they could be.
media — pass: No media was selected, and no verified media candidates were supplied. Omitting media is therefore appropriate.
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