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● LIVE Updated 17m ago Β· 14 sources tracked

Employees Who Use AI End Up Working Vastly More Time Per Day

Heavy AI users are spending up to 90 extra minutes at work each day according to a new workplace efficiency survey covered by Futurism, Gizmodo, and Yahoo Tech. The finding contradicts the expectation that AI tools reduce workload. A separate AOL.com report cites a study showing workers lose a full day per week fixing low-quality AI output, while CIO notes the broader data on AI time savings remains contradictory. Forbes argues productivity gains may not come from time reduction at all.

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  • βœ“ Heavy AI users spend up to 90 minutes more at work per day according to a new workplace efficiency survey.
  • βœ“ Workers lose a day a week fixing low-quality AI output, per a study cited by AOL.com.
  • βœ“ Data on whether AI actually saves employee time is contradictory, according to CIO.
  • βœ“ Forbes reports the best productivity improvements may not come from saving time.
πŸ›‘οΈ Source Corroboration: 14 independent reporting domains (78% confidence) ⏱ Read time: ~2 min

What changed

A new workplace efficiency survey reveals heavy AI users work up to 90 minutes more per day, with multiple outlets reporting the finding simultaneously.

Live updates

  1. AI users working up to 90 minutes longer daily, study finds

    Heavy AI users are spending up to 90 extra minutes at work each day according to a new workplace efficiency survey covered by Futurism, Gizmodo, and Yahoo Tech. The finding contradicts the expectation that AI tools reduce workload. A separate AOL.com report cites a study showing workers lose a full day per week fixing low-quality AI output, while CIO notes the broader data on AI time savings remains contradictory. Forbes argues productivity gains may not come from time reduction at all.

    Why it matters

    Companies are rapidly deploying generative AI with the promise of efficiency, but early evidence suggests the technology may be extending workdays instead. The extra time appears tied to verifying, correcting, and managing AI-generated content, often called "AI slop", rather than core tasks. This dynamic challenges ROI assumptions behind current AI adoption strategies.

    What is confirmed

    • Heavy AI users spend up to 90 minutes more at work per day according to a new workplace efficiency survey.
    • Workers lose a day a week fixing low-quality AI output, per a study cited by AOL.com.
    • Data on whether AI actually saves employee time is contradictory, according to CIO.
    • Forbes reports the best productivity improvements may not come from saving time.

    Still unconfirmed

    • AI shortcuts are creating a worse C-suite, per Hachette's CEO in Fortune.

    What to watch next

    • Follow-up studies measuring net productivity vs. hours worked
    • Employer policy changes on AI usage expectations
    • Data on whether verification time decreases as models improve
    Sources used for this update (15)
    1. www.aboutamazon.com β€” Amazon News: Breaking news about Amazon and latest company updates
    2. tech.co β€” AI Gone Wrong: AI Hallucinations & Errors [Updated] - Tech.co
    3. www.irishtimes.com β€” The Irish Times | Latest news and headlines - Irish news, world news ...
    4. fortune.com β€” Hachette’s CEO says AI shortcuts are creating a β€˜worse C-suite'
    5. www.dell.com β€” AI training data poisoning: the risk nobody sees
    6. futurism.com β€” Grim Test Finds That AI Has No Mercy for Humans Even When It's Causing Them to Suffer
    7. law.stanford.edu β€” Charting the Future of the Law Firm - Legal Aggregate
    8. explodingtopics.com β€” Unicorn Startups: 30 New Unicorn Companies (November 2026)
    9. Futurism β€” Employees Who Use AI End Up Working Vastly More Time Per Day
    10. Gizmodo β€” AI Users Are Working Up to 90 Minutes Longer Every Day, Study Finds
    11. Yahoo Tech β€” 'The goal can’t simply be AI usage': New report finds people using AI are working up to 90 minutes extra every day
    12. CIO β€” Does AI actually save employees time? Data is contradictory
    confidence 78%
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