Two leading thinkers argue that the near-term promise of AI lies less in full automation and more in systems designed to work alongside humans. Using a “build bridges, don’t jump the canyon” analogy, they contend AI should augment doctors, teachers, lawyers, and contractors rather than replace them, boosting quality and productivity while managing risk. The authors urge technologists and policymakers to prioritize collaborative, human-in-the-loop designs over attempts at end-to-end autonomy that remain technically and socially out of reach. The piece frames a practical path to value creation and job resilience, emphasizing disciplined deployment and aligned incentives.
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