AI risk doesn’t come from using AI. It comes from governing it poorly. As organizations scale AI adoption, one thing becomes clear: there’s no single way to govern AI responsibly. Most enterprises rely on a combination of governance approaches: Informal governance shaped by culture and ethics Ad hoc governance created after incidents Formal governance with defined roles, controls, and accountability Market-driven approaches led by industry standards State-driven oversight through regulation and compliance Each has strengths, and limits.