As the U.S. rolls out an AI Action Plan [1] , an important first step in recognizing AI as a national capability with direct implications for workforce development and education, prominent voices across the AI spectrum are debating the risks of “Superintelligence”. Some, like the Future of Life Institute ,   argue for strong limits or prohibitions [2] . Others push back against those constraints. Regardless of that debate, the conversation once again frames AI as the sole obj