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Professionals who lean too heavily on artificial intelligence tools without developing critical thinking skills may inadvertently undermine their own career trajectories, according to Sandra Matz, a professor at Columbia Business School. When workers rely on AI to handle tasks without meaningful engagement or refinement, they risk what Matz describes as a gradual slide into complacency and obsolescence in their roles.
The concern centers on how workplace AI adoption can create a false sense of productivity while masking deeper skill atrophy. Employees who outsource cognitive work entirely to algorithms may find themselves falling behind peers who maintain and expand their professional competencies. This dynamic could be particularly consequential in competitive industries where differentiation hinges on human expertise and judgment.
The warning underscores a broader tension in the AI-driven workplace: while automation and machine learning can enhance efficiency, they also demand intentionality from users about which tasks warrant human involvement and where algorithmic assistance should supplement rather than replace human capability. Organizations and individuals navigating this transition will need to be deliberate about preserving the skills that remain competitively valuable.