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This study highlights a critical divergence between organizational AI strategies and workforce anxieties regarding skill erosion, specifically in critical thinking. Organizations that explicitly define human-led or AI-assisted workflows report significant reductions in risk and quality improvements, underscoring the necessity of integrating human oversight into AI deployment. The findings suggest that proactive upskilling and clear workflow definitions are essential to mitigate employee concerns and maximize the value of uniquely human capabilities in an automated environment.
IBM study shows human-led AI workflows cut risk 18%
A new global study of 1,500 CHROs and 8,800 employees finds 60% of employees worry AI is eroding their skills, with critical thinking cited most often as declining. Organizations defining workflows as human-led, AI-assisted or AI-executed report an 18% risk reduction and 20% quality improvement.
A new global study from the IBM Institute for Business Value reveals a surprising disconnect between employer expectations and employee anxieties surrounding artificial intelligence, the company says. While 71% of Chief Human Resource Officers identify the ability to supervise and validate AI outputs as the most essential skill for the modern workforce, 60% of employees worry AI is eroding their skills, specifically citing critical thinking as the capability most at risk. Organizations defining clear human-led, AI-assisted, or AI-executed workflows are seeing measurable benefits, reporting an 18% risk reduction and 20% quality improvement, yet nearly half do not include the CHRO in defining AI strategy. “AI is changing not only how work gets done, but where people can contribute the greatest value,” says…
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