A Workday survey of 3,200 workers in North America, Europe, and Asia found that 85 percent said artificial intelligence saves them between one and seven hours per week, but about 37 percent of that time is then spent fixing AI-generated errors such as editing, verifying, or rewriting low-quality content.

For every ten hours of efficiency gained through AI, nearly four hours are used to correct its shortcomings, and only 14 percent of respondents said they consistently achieve net-positive time savings from AI.

Heavy AI users bear the greatest burden, with Workday estimating they lose about 1.5 weeks per year to rework.

Workday's president of product, Gerrit Kazmaier, described this as a productivity paradox arising because AI has been layered onto existing roles without revising responsibilities or performance expectations, leaving employees responsible for both faster output and unchanged standards for accuracy and accountability.

Nearly 90 percent of organizations surveyed said that fewer than half of their jobs have been updated to include AI-related skills. The research also identified a mismatch between leadership priorities and employee experience: 66 percent of leaders cited skills training as a key investment, but only 37 percent of workers most affected by AI-related rework reported improved access to training.

Source: https://qz.com/ai-mistakes-limit-time-savings-workday-finds

So, the question for our readers is: Does AI Help Or Hinder?

Here is the opinion of one of the McCalmon editorial staff:

Jack McCalmon, Esq.

AI is a useful tool in my work. It accelerates research, sharpens editing, and helps structure ideas, but it does not replace professional experience or informed judgment. If AI were a physician, it would be more like a new resident wanting to practice generalized medicine rather than a seasoned specialist: a capable generalist that learns quickly, yet one that still makes frequent errors and requires its work to be reviewed every time by someone who has real-life experience.

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