"AI tools are becoming ubiquitous across industries, helping workers interpret data, summarize notes, and crank out code in a fraction of the time it once took. Yet even as leaders tout the promise of AI, some fear there's a hidden cost - a gradual siphoning of workplace know-how. Underscoring the paradox is a new study from the University of Pennsylvania's Wharton School of Business, which is based on a survey of nearly 800 decision-makers at US companies"
""I felt the rust, as if I had come back to this code after a couple of days," said Adamson. He's now concerned the same dependence could grip the five engineers he manages at Varonis, a data-security company. To keep their skills sharp, he said he may have his team do drills in which they can only write code themselves, without the aid of AI. "We're good at our jobs, but this technology can unknowingly lull us into this sense of dependence," said Adamson."
Software engineers and managers are experiencing dependence on AI tools that can interrupt ability to perform tasks manually. One engineer reported forgetting how to write code when an AI tool froze and plans team drills requiring manual coding to maintain skills. AI adoption yields efficiency gains across industries for data interpretation, note summarization, and code generation. A Wharton School survey of nearly 800 decision-makers at large US companies found nearly three-quarters reported efficiency improvements, while 43% expressed concern that AI may cause skill atrophy and erode essential workplace know-how. Leaders debate whether AI functions as a crutch that may dull human expertise.
Read at Business Insider
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