Monday, 19 October 2026 07:45 AM
Company Update
NEW YORK CITY, NY / ACCESS Newswire / October 19, 2026 / AI-generated work can appear finished while leaving colleagues to fact-check claims or rework incomplete sections. Recent research on workplace AI usage suggests this hidden burden of reviewing content deserves greater attention when organizations measure productivity gains.
A 2025 study led by the University of Melbourne in collaboration with KPMG surveyed more than 48,000 people across 47 countries. The findings revealed that two-thirds of all respondents intentionally use AI on a regular basis. Among employees, 66% report having relied on AI outputs without evaluating their accuracy.
The Work Often Falls to Someone Else
Research by BetterUp Labs and the Stanford Social Media Lab found that 40% of surveyed U.S. desk workers had received low-quality AI-generated work from a colleague in the preceding month. Respondents reported spending an average of two hours resolving each incident. The researchers estimate this amounts to about $9 million in annual productivity costs for a 10,000-person company, or $186 per employee per month on average.
BetterUp categorizes this output as "workslop": material that appears polished on the surface but lacks the substance required to complete a task. The problem often becomes apparent only when another employee attempts to use the material. Furthermore, when AI usage goes undisclosed, colleagues face additional friction in determining how the work was prepared or evaluating its reliability.
Workplace Guidance Has Not Kept Pace
In the University of Melbourne and KPMG global study, 39% of employees reported receiving workplace training on AI, while only 40% said their workplace had a policy or guidance on generative AI use. Establishing clearer expectations around verifying and disclosing AI-assisted work could help reduce the risk of errors being passed along.
Insights from AI governance strategist Azahara Corrales offer one perspective on differing patterns of AI adoption. Discussing varying adoption rates across teams, Corrales emphasizes that employee caution regarding AI should not be mistaken for a lack of interest or technical ability. Instead, measured caution often exposes critical organizational blind spots and underscores the need for clear governance frameworks.
This principle directly impacts daily operations: a rapidly generated draft saves no real time if a colleague must subsequently verify or rewrite it. To capture accurate ROI, organizational productivity metrics must account for the downstream hours spent reviewing and resolving low-quality AI output.
About Lorka AI
Lorka AI is an all-in-one AI platform that provides access to multiple chat models and productivity tools designed to help professionals streamline workflows, research, and content creation.
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Company Name: Lorka AI
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Website: https://www.lorka.ai/
SOURCE: Lorka AI