Artificial intelligence will touch most occupations, but the workers poised to benefit are those who can both use the tools and explain them, says NYU Stern’s Robert Seamans. He forecasts growing demand for “AI translators” who can demystify systems for managers, “AI auditors” who test models for bias and accuracy—potentially with legal expertise—and instructors to train staff on company applications. Deep model-building skills aren’t essential; practical fluency, communication, and evaluation know-how are. His advice: experiment broadly with AI to boost performance as employers integrate the technology across operations.
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