A wave of more than 2,000 legislative and policy proposals now aims to govern artificial intelligence, the broad term for software systems that learn from data to automate decisions. The problem, according to a recently published opinion piece, is that not one of them builds toward a long-term regulatory framework, meaning a binding set of rules designed to organize accountability for the technology over time.
The gap between volume and vision
Counting proposals is not the same as measuring coverage. Legislators and regulators have produced thousands of AI-related measures, but the op-ed's central claim is that quantity has not produced depth. Each proposal tends to address a specific harm or a specific sector. None of them, the piece argues, answers the harder question: what should the governing structure for AI look like over the long term, and who decides?
A framework, in regulatory terms, is more than a single statute. A statute can ban a specific use. A framework sets the conditions under which banning happens and who has the authority to enforce it. That structural layer is what the op-ed says is missing from every one of those 2,000 proposals.
Why competition alone won't close the gap
The op-ed makes the case that the invisible hand of the market, the economic principle that competitive self-interest tends to produce good outcomes for society, does not apply cleanly to AI. The invisible hand rewards speed and profit. Regulatory clarity requires time and agreement. When those two pressures conflict, market actors have little structural incentive to wait.
Without a binding framework, the author argues, that dynamic repeats across every company and every country, and the collective result is a technology operating outside any coherent accountability structure.
A call with no named architect
The piece calls for a comprehensive, future-focused framework to govern AI. It does not identify a specific government or institution as the vehicle to produce one. That omission is part of what the op-ed is pointing at. More than 2,000 proposals, and the field still has no agreed answer on who builds the long-term structure or when.