The AI Dividend Gap: Why the Benefits of AI at Work Are Flowing to Those Who Already Have Good Jobs, and How Leaders Can Share Them More Widely

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The AI Dividend Gap: Why the Benefits of AI at Work Are Flowing to Those Who Already Have Good Jobs, and How Leaders Can Share Them More Widely

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Abstract: Early evidence on generative artificial intelligence at work suggests that its benefits are real but unevenly shared. Year-two results from the American Job Quality Study show that most employees who use AI report working faster and more creatively, yet only 28% of U.S. employees use AI at least weekly and 54% have never used it in their role. Regular use is concentrated among college graduates, managers, higher earners, and knowledge-intensive industries, the same groups that already hold quality jobs, while about half of all employees report less influence over technology adoption than they would like. This article defines the "AI dividend gap," reviews research on who adopts and who gains from generative AI, and examines organizational and individual consequences. It then synthesizes five evidence-based responses, illustrated with documented examples from entertainment, technology, healthcare, hospitality, retail, and financial services: designing for broad access, closing the use gap, building worker voice into technology decisions, bargaining over how gains and risks are shared, and reinvesting gains in better jobs.

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