Would you trust algorithms to run your government? Turns out, a surprising chunk of younger demographics might be cool with that idea.

A recent survey dropped some eyebrow-raising numbers: 41% of young voters are actually down with letting AI handle government decisions. Not as a sci-fi fantasy—as a legitimate governance model.

This isn't just about tech enthusiasm. It reflects growing frustration with traditional political systems and a belief that machine learning could cut through bureaucratic nonsense. Younger generations, who grew up with smartphones and recommendation algorithms, seem less spooked by the idea of code making calls.

But here's the tension: decentralization advocates have been pushing for power distribution away from centralized authorities. So does AI governance mean hyper-centralization through code, or could it actually enable transparent, rule-based systems that legacy institutions can't corrupt?

The numbers suggest generational shifts in how we think about trust, authority, and decision-making infrastructure. Whether that's utopian or dystopian probably depends on who writes the algorithms—and whether we can audit them.