The regulation vs innovation framing is a false dichotomy here. Most developed economies have found that thoughtful regulation enables _sustainable_ innovation - see GDPR and data privacy innovation, or pharma regulations driving R&D.

For AI specifically, baseline standards around model documentation, data sourcing transparency, and compute auditing would actually help larger players (who can afford compliance) and reduce race-to-bottom dynamics that harm smaller developers.