When a leading AI company actively asks for more regulation, it usually catches people’s attention. That is exactly what Anthropic has been doing in the United States, and the company’s recent moves suggest a strategic shift in how the AI industry thinks about governance.
Last year, Anthropic publicly endorsed landmark AI transparency laws in both California and New York. These were seen as significant steps toward giving the public more insight into how powerful AI models are built and deployed. But according to the company’s head of US state and local policy, those laws may already be outdated. The speed of AI development, it seems, is outpacing even the most forward-thinking legislation.
The Case for State-Level Action
Anthropic’s argument is straightforward: while federal regulation in the United States remains stalled in a cycle of hearings and proposals, state governments can move faster. By working directly with state legislators, companies like Anthropic can help craft rules that address immediate risks—such as algorithmic bias, misinformation, and the potential for misuse of generative AI—without waiting years for a national framework.
This approach is not without its complications. A patchwork of state laws could create compliance headaches for companies operating across multiple jurisdictions. However, Anthropic believes that imperfect, fast-moving state regulation is better than no regulation at all. The company has positioned itself as a willing partner in this process, offering technical expertise to help lawmakers understand what is actually happening inside these black-box systems.
Why California and New York Matter
California and New York are natural starting points. As home to Silicon Valley and a massive tech workforce, California sets trends that often ripple across the country. New York, with its powerful financial and media industries, is similarly influential. When these states pass AI transparency laws, they force companies to adapt their practices on a large scale, effectively creating de facto national standards.
Anthropic’s endorsement of these bills was a calculated move. By supporting transparency requirements—such as disclosing training data sources and model limitations—the company signals that it is willing to operate under stricter rules than some of its competitors. This builds trust with the public and with policymakers who are increasingly skeptical of the tech industry’s promises of self-regulation.
The Problem with “Outdated” Laws
The head of Anthropic’s state and local policy recently noted that the laws passed last year were written for a different AI landscape. The technology has advanced so quickly that provisions designed to ensure transparency might already be insufficient. For instance, early laws focused on requiring companies to publish basic information about their models. Today, experts are calling for more dynamic oversight—continuous auditing, real-time reporting of incidents, and mandatory stress-testing before deployment.
This is the core tension in AI regulation: the target is always moving. Anthropic’s willingness to admit that existing laws are outdated is refreshingly honest. It also serves as a call to action for states to update their frameworks regularly, rather than treating them as one-and-done efforts.
What This Means for the Industry
Anthropic’s proactive stance could pressure other major AI developers to follow suit. If states like California and New York start demanding more rigorous transparency, companies like OpenAI, Google, and Meta will have to either comply or risk losing access to key markets. This creates a competitive dynamic where being seen as “responsible” becomes a business advantage.
For startups and smaller players, this might feel like an additional burden. However, clear rules can also reduce uncertainty. Knowing exactly what is required to operate in a given state allows companies to build compliance into their products from the ground up, rather than scrambling to fix issues after launch.
The Broader Push for Federal Preemption
While Anthropic is championing state action, the company has also expressed support for eventual federal preemption. The ideal scenario, from their perspective, is a strong national law that sets a high baseline, with states allowed to add additional protections if needed. But until that happens, states are the only game in town.
This dual strategy—pushing states now while advocating for federal action later—is pragmatic. It acknowledges the political reality that comprehensive AI legislation in Washington D.C. is likely years away. In the meantime, statehouses in Sacramento, Albany, and beyond are becoming the primary arenas for shaping the future of AI governance.
What Comes Next
Anthropic is likely to continue its lobbying efforts in other states, particularly those with large tech sectors or progressive legislatures. Colorado, Illinois, and Massachusetts are all potential targets for new transparency bills. The company may also push for specific rules around the use of AI in high-stakes areas like healthcare, criminal justice, and hiring.
For businesses and developers building on top of AI models, this is a trend worth watching closely. The regulatory landscape is shifting from a vague set of ethical guidelines to concrete, enforceable laws. Staying ahead of these changes will require not just technical adaptation, but also a willingness to engage with policymakers at the state level.
Conclusion
Anthropic’s aggressive push for state-level AI regulation is a sign of a maturing industry. Rather than waiting for a perfect federal solution, the company is embracing the messy, iterative process of democratic governance. By endorsing laws that may soon be outdated, they are making a bet that action—even imperfect action—is better than paralysis.
As AI continues to evolve at breakneck speed, the question is no longer whether regulation will come, but who will write the rules and how quickly they can be updated. Anthropic is betting that the answer lies in state capitals, and they are already shaping the conversation.
