Why AI Governance Can Wait (And What Can't)

Controversial opinion: Most companies are over-thinking AI governance and under-thinking value creation. Yes, governance matters. But not as much as actually getting started.

I've watched companies spend months creating AI ethics committees, governance frameworks, and policy documents—all before running a single experiment. Meanwhile, their competitors are learning by doing, adjusting governance as they go.

Here's a practical approach: Start with basic guardrails (data privacy, security, bias testing) and a simple review process. Launch small, low-risk pilots. Learn what governance you actually need based on real experience, not theoretical risks. Build your governance framework based on actual use cases, not imagined scenarios.