Most AI governance I see is theatre:
A policy that names no one.
A committee that has never rejected a deployment.
A risk appetite statement that says the right things and changes nothing.
The gap between the appearance of AI governance and its reality is where the damage accumulates. And the most common excuse for inaction is that the regulatory picture is still unclear.
That excuse gets a direct answer in the Enterprise-wide AI Risk Management® (EW-AiRM®) book, and it became one of its Governance Maxims:
"Waiting for perfect clarity is not a governance position.
It is a governance failure."
Regulation will keep moving, but your AI deployments will not wait for it.
The organisations that will cope best in 2027 are the ones that started governing imperfectly in 2026.