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Picture this: A congressional hearing on “AI policy” makes the evening news. A senator gravely asks whether artificial intelligence might one day “wake up” and take over the world. Cameras flash. Headlines declare: “Lawmakers Confront the Coming Robot Threat.” Meanwhile, outside the Beltway on main streets across the country, everyday Americans worry about whether AI tools will replace them on factory floors, in call centers, or even in classrooms. Those bread-and-butter concerns—job displacement, worker retraining, and community instability—deserve placement at the top of the agenda for policymakers. Yet legislatures too often get distracted, following academic debates that may intrigue scholars but fail to address the challenges that most directly affect people’s lives.

That misalignment is no coincidence. Academic discourse does not merely fill journals; it actively shapes the policy agenda and popular conceptions of AI. Too many scholars dwell on speculative, even trivial, hypotheticals. They debate whether large language models should be treated as co-authors on scientific papers or whether AI could ever develop consciousness. These conversations filter into the media, morph into lawmaker talking points, and eventually dominate legislative hearings. The result is a political environment where sci-fi scenarios crowd out the issues most relevant to ordinary people—like how to safeguard workers, encourage innovation, and ensure fairness in critical industries. When lawmakers turn to scholars for guidance, they often encounter lofty speculation rather than clear-eyed analysis of how AI is already reshaping specific sectors.