AI Governance Isn’t Failing. It’s Just In The Wrong Place.

So AI governance isn't failing—it's just happening in contracts instead of laws. That's like saying your house isn't on fire, the flames are just in the kitchen. The article from Above the Law notes that 'no one is in a rush to pass a comprehensive federal AI law,' so the real power lies in vendor agreements and licensing terms, where 'training rights are replacing data clauses' as the hottest topic. Because nothing says accountable democracy like letting corporate legal departments write the rules.

But don't worry—these contracts are totally enforceable and transparent. After all, who needs public oversight when you have nondisclosure agreements and arbitration clauses? The article cheerfully notes that 'contracts have become ground zero for AI governance,' which is a fantastic phrase if you want to sound clever while describing a system where companies police each other behind closed doors. Meanwhile, regulators are still figuring out how to send an email.

The message is clear: if you want to know how AI is really governed, don't watch Congress—watch the fine print that nobody reads. Training rights will determine what models learn from your data, and 'no one is in a rush' to make that a public conversation. So raise a glass to regulatory capture by spreadsheet: the only thing faster than AI development is the speed at which policymakers have decided to take a nap.