The Incumbent's Advantage in Regulatory Design
What OpenAI's policy paper establishes institutionally is a template where compliance cost becomes competitive moat . Strict frontier model regulation sounds neutral — it applies to everyone equally — but equal rules produce unequal outcomes when the regulated parties differ in scale. OpenAI, with its legal team, lobbying relationships, and existing safety infrastructure, absorbs those costs. A smaller lab building a competing foundation model does not. The governance architecture OpenAI is advocating is precisely the kind that incumbents design and challengers inherit.
The regulatory vacuum left by Congress has already proven the point in an adjacent case: when Anthropic was designated a Pentagon supplier over its own objections, the story was less about corporate defiance than about what happens when no statutory framework exists to govern the relationship. OpenAI's paper is an attempt to write that framework — and the party that writes the framework shapes who can operate inside it.