Training Your Replacement: Worker Incentives and the Pace of Automation -- by Joshua S. Gans, Peter Landry

A study models worker incentives when employees train AI systems designed to replace them. Because completing the training ends employment, firing becomes a weaker penalty, and firms must raise worker pay to prevent obstruction. Employers can avoid training slowdowns and excess wages by offering credible completion bonuses.

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