Imagine getting handed the keys to an entire government agency’s rulebook while still pulling all-nighters and cramming for finals. That’s exactly what happened to Christopher Sweet, a University of Chicago economics student who’s now using artificial intelligence to potentially overhaul housing regulations at the Department of Housing and Urban Development (HUD).

Sweet, a 20-something with roots in San Francisco and Brazil, has been tasked with a mind-boggling project: using AI to dissect and potentially dismantle existing government regulations. Working under Elon Musk’s Department of Government Efficiency (DOGE), he’s creating massive spreadsheets that suggest where rules might be “relaxed” or completely eliminated.

The AI Deregulation Experiment

His primary tool? An AI model that crawls through federal regulations, flagging potential areas of “overreach” and proposing alternative language. Sweet has already produced a spreadsheet with around a thousand rows highlighting potential regulatory changes, which HUD staffers are now being asked to review and validate.

Behind the Scenes

While this might sound like a tech bro’s fever dream, there’s a serious political undertone. The approach aligns closely with Project 2025, a policy document from the Trump administration that pushes aggressive deregulation across multiple government sectors. Sweet’s work specifically targets the Office of Public and Indian Housing, potentially reshaping policies that impact millions of Americans.

The Silicon Valley Connection

Interestingly, Sweet isn’t just a random college student. He’s already founded an investment firm, East Edge Securities, and has connections to various private equity organizations. His GitHub profile even shows he was analyzing regulatory landscapes before joining HUD, suggesting this isn’t just a random assignment.

As government bureaucracy meets artificial intelligence, one thing’s certain: the regulatory landscape is about to get a whole lot more interesting.