Enligt den globala studien ”Beyond Productivity: Measuring the Real Value of AI”, genomförd av Workday tillsammans med Hanover Research i november 2025, uppger 85 procent av de tillfrågade att de sparar mellan en och sju timmar i veckan med hjälp av AI.
AI sparar tid – men nästan 40 procent går till att rätta AI:s fel
AI
En global studie visar att majoriteten av anställda sparar tid med AI, men att en stor del av tidsvinsten går åt till att skriva om, faktagranska och korrigera resultat. För vd:ar innebär det att traditionella produktivitetsmått riskerar att överskatta effekten av AI-investeringar.

Foto: Adobe Stock/Workday.
Någonting är fel
Du är inloggad som prenumerant hos förlaget Pauser Media, men nånting är fel. På din profilsida ser du vilka av våra produkter som du har tillgång till. Skulle uppgifterna inte stämma på din profilsida – vänligen kontakta vår kundtjänst.
VD-tidningen premium
Läs vidare – starta din prenumeration
Redan prenumerant? Logga in och läs vidare.
Samtidigt visar studien att nästan 40 procent av den sparade tiden går åt till att omarbeta fel, skriva om innehåll och verifiera resultat från AI-verktyg. Endast 14 procent av de anställda uppger att de konsekvent får tydliga och bra resultat från AI.
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


