AI Governance Is Converging on Paper. On the Ground, It Is Diverging
A Global Policy Journal analysis finds that while international AI governance frameworks are increasingly aligning on shared principles and language, actual implementation and enforcement are fragmenting across jurisdictions, producing a growing gap between what governments agree to on paper and how AI is regulated in practice.
Why this matters: The convergence on paper is almost cosmetic at this point. Countries sign onto the same principles, use the same vocabulary, and then go home and do different things. That gap is not just a policy problem. It is a practical one for anyone whose data or rights depend on those rules actually working. Companies will exploit the inconsistencies. People will fall through them. The hard part of AI governance was never writing the frameworks. It is deciding who enforces what, where, and with real consequences when something goes wrong.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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