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Layoffs and job cuts have dominated much of the recent headlines about AI and its impact. The Challenger Job Cuts Report, a monthly tracker of U.S.-based corporate layoff announcements, reported that AI led cited reasons for job cuts for the third month in a row. Separate from the job cuts narrative, a less visible risk is quietly compounding: organizations leaning too heavily on AI may be weakening the human capabilities they need most. A new BCG article argues that without deliberate design, widespread AI adoption leads to distributed de-skilling: the collective erosion of critical thinking, judgment, and problem framing across an organization. Half of the leaders surveyed say they are already seeing this, and more than 60% expect it to become a real threat within three to five years. The skills most at risk, such as judgment, problem framing, and creative thinking, are the same ones considered most essential to long-term performance. The article offers six strategies. Two stood out: redesigning work so humans retain ownership of judgment (Shell requires early-career employees to frame problems and build a baseline before using AI); and making human skill development visible in performance management (at CNIL, managers assess employees on their ability to challenge AI outputs, not just use them). As organizations identify the human skills most essential to their strategy, I am resharing a 39-page World Economic Forum report, New Economy Skills: Unlocking the Human.
