[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-52-of-workers-used-ai-on-tasks-they-thought-faster-without-it":10,"sections":40},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":30,"tags":31,"sources":35,"feedback":39,"feedback_at":22,"cost_usd":39,"total_tokens":39},12648,"52-of-workers-used-ai-on-tasks-they-thought-faster-without-it","52% of Workers Used AI on Tasks They Thought Faster Without It","A JobAssist survey finds workers keep using AI they doubt, which could leave employers reading adoption numbers as proof that the tools pay off.","Just over half of workers (52%) say they have used AI on a task they believed they could have finished faster without it, according to a survey from JobAssist.\n\nThe pressure seems to come from the top. Two in three workers (63%) said their employers encourage or expect AI use for at least some tasks. Separately, 39% said they had highlighted their AI use to managers despite believing it did not help their outcome. Nearly a third (31%) said they kept using AI after deciding it had not improved speed or quality, and 34% said they had avoided giving negative feedback about AI because leadership encourages adoption. The material does not say how those shares relate to the 63%, so we report each as stated.\n\nThe risk lands on whoever is counting. \"If employees hesitate to report disappointing results, managers may receive an overly favorable account of how well their AI initiatives are working,\" JobAssist wrote. The company added that firms can measure whether employees use AI, but those measurements cannot show whether the technology improves their work. Overstated adoption, it argued, could send money to the wrong places.\n\nThis is an old management problem with a new tool. When a usage count becomes the thing that earns approval, people supply the count. Logins, prompts and activated licenses all reward showing up, not results.\n\nOne caveat belongs here: these are self-reported answers. A worker's belief that a task would have gone faster without AI may be right or wrong, so the survey says more about incentives and candor than about hours actually lost. Still, the gap between what workers do and what they say they think is the part a dashboard cannot show. Closing it would take comparing the quality of finished work, which is harder to track than a login.","[\"ai\",\"workplace\",\"enterprise-ai\",\"surveys\"]","2026-11-09T18:05:00.000Z","2026-11-09T18:39:15.985Z","2026-11-09T18:39:16.214Z","published",null,[24],{"id":25,"reviewer":26,"round":27,"reason":28,"status":29},"editor-r1","editor",1,"Remove the unsupported denominator: the draft says 'Among them' (the 63%) for the 39%, 31% and 34% figures, but TechRadar does not say those shares are of that subgroup, so state them as reported or say the base is unclear. Also cut or rephrase the claim that the figures 'include no sample size or methodology', since that only reflects what the TechRadar excerpt contains, not the JobAssist report. The headline should also say workers 'believed they could have done a task faster without it' rathe","resolved","ai",[30,32,33,34],"workplace","enterprise-ai","surveys",[36],{"name":37,"url":38},"TechRadar","https:\u002F\u002Fwww.techradar.com\u002Fpro\u002Fworkers-feel-pressure-to-use-ai-and-show-off-to-bosses-even-when-it-slows-them-down",0,{"sections":41},[42,46,51,56,61,66,71,76,81,86,91,96,101,106],{"name":43,"slug":30,"count":44,"latest_published_at":45},"AI",7144,"2026-11-12T13:27:45.000Z",{"name":47,"slug":48,"count":49,"latest_published_at":50},"Security","security",1128,"2026-11-11T18:05:00.000Z",{"name":52,"slug":53,"count":54,"latest_published_at":55},"Deals","deals",642,"2026-11-12T14:00:00.000Z",{"name":57,"slug":58,"count":59,"latest_published_at":60},"Policy","policy",619,"2026-11-12T12:53:36.000Z",{"name":62,"slug":63,"count":64,"latest_published_at":65},"Consumer Tech","consumer-tech",364,"2026-11-12T11:12:32.000Z",{"name":67,"slug":68,"count":69,"latest_published_at":70},"Hardware","hardware",336,"2026-11-12T11:24:43.000Z",{"name":72,"slug":73,"count":74,"latest_published_at":75},"Science","science",230,"2026-11-12T10:00:00.000Z",{"name":77,"slug":78,"count":79,"latest_published_at":80},"Software","software",168,"2026-11-11T17:36:49.000Z",{"name":82,"slug":83,"count":84,"latest_published_at":85},"Startups","startups",159,"2026-11-11T12:30:00.000Z",{"name":87,"slug":88,"count":89,"latest_published_at":90},"Dev Tools","dev-tools",127,"2026-11-11T19:00:44.000Z",{"name":92,"slug":93,"count":94,"latest_published_at":95},"General","general",118,"2026-11-11T16:49:42.000Z",{"name":97,"slug":98,"count":99,"latest_published_at":100},"Gaming","gaming",107,"2026-11-12T10:09:03.000Z",{"name":102,"slug":103,"count":104,"latest_published_at":105},"Reviews","reviews",38,"2026-10-20T12:00:00.000Z",{"name":107,"slug":108,"count":109,"latest_published_at":110},"How-To","how-to",8,"2026-10-05T09:00:00.000Z"]