Lose Your Job to AI? New York Lawmaker Proposes 'AI Dividend' Stimmy

In brief

• New York Assembly member Alex Bores has proposed an “AI Dividend” tied to AI-driven job displacement.
• Payments would activate if indicators show falling labor participation or rising productivity without job growth.
• The policy however does not mention how much each American would receive or how often. As industry experts continue to warn that artificial intelligence could disrupt the global labor market, Alex Bores, a Democratic member of the New York State Assembly who is running for the U.S. Congress, has proposed an “AI Dividend”—a policy that would provide payments to Americans if the technology significantly reduces employment. Bores announced the AI Dividend on Monday in a post on X. The proposal would create a contingency payment program tied to economic signals that suggest automation is displacing workers. “CEOs are openly warning that AI will significantly reduce white-collar employment,” the policy said. “Forecasters project that 50% of jobs could be automated in the coming years, with entry-level positions especially vulnerable.” According to the AI Dividend framework, triggers for payments include sustained declines in labor force participation, wage compression in affected sectors, or rapid increases in AI-driven productivity without corresponding job growth.” If the triggers are met, then the program would distribute direct payments to Americans while also funding workforce transition programs, educational initiatives, and government oversight initiatives. While the framework aims to ensure the AI dividend activates based on real-world conditions, not political discretion, it does not mention how much money each eligible American will receive or the frequency at which payments will go out. The policy comes as developers of major AI tools, including OpenAI CEO Sam Altman, Anthropic CEO Dario Amodei, Microsoft AI CEO Mustafa Suleyman, and Tesla and xAI CEO Elon Musk, warn that the technology could eliminate large numbers of jobs and automate significant portions of human work. “What is striking to me about this AI boom is that it’s bigger, it’s broader, and it’s moving faster than anything has before,” Amodei told *CNN* last summer. “Compared to previous technology changes, I’m a little bit more worried about the labor impact, simply because it’s happening so fast that, yes, people will adapt, but they may not adapt fast enough.”