The argument that any AI regulation hands victory to China sounds weaker when China is also tightening control over AI development.
For the past year, a familiar message has moved through Washington, state capitals and investor circles: regulate American AI too much and China wins. It is a clean line, easy to repeat and hard for politicians to dismiss. But the latest signals from Beijing make the picture less convenient for the biggest U.S. AI companies.
On May 8, Chinese authorities issued new guidelines for AI agents, the fast-growing class of systems that can perceive, remember, decide and act across digital and physical environments. The principles were not framed as a permission slip for reckless speed. They stressed safety and controllability, orderliness and standardization, innovation-driven growth and application-oriented deployment. That is not the language of a country telling its companies to ignore guardrails while America ties itself up in paperwork.
This does not mean China is taking the same approach the United States would take. Beijing's version of AI control is rooted in state power, censorship obligations, industrial planning and national security. Its regulators have already leaned heavily on generative AI rules, content controls, model registrations and data governance. What matters for founders and investors is simpler: China is not treating AI safety as a luxury good to be purchased after dominance is secured. It is treating control as part of the development model.
That should change how the U.S. debate is heard. When OpenAI argues for a federal strategy that avoids a state-by-state patchwork, it is making a real operational point. A startup building an AI product should not need a 50-state legal team before it has product-market fit. When Google and other large platforms warn that fragmented rules can slow deployment, they are not inventing the cost of compliance. But those arguments become weaker when they are wrapped in a broader claim that almost any domestic regulation is a gift to Beijing.
As Forbes recently reported, OpenAI and Anthropic spent more on lobbying in 2025 than ever before, a sign that AI policy is no longer a side conversation for the industry. The biggest labs now have direct interests in copyright rules, export controls, procurement standards, safety testing, data center permitting and state preemption. China appears in nearly all of those debates because it gives each commercial request a national security frame.
OpenAI's 2025 policy proposals called for a regulatory strategy that protects the freedom to innovate and reduces the potential benefit to China from burdensome state laws. The company also pushed for restrictions on certain Chinese models, including DeepSeek and other PRC-linked systems, citing security and privacy risks. Anthropic has taken a different but equally China-focused route, backing stronger export controls on advanced chips and calling for national security evaluations of powerful models. These are not identical positions. One emphasizes room to scale American AI globally. The other accepts more safety infrastructure while arguing that China should be denied key inputs.
The common thread is that each company wants the rules designed around its own version of the race. For large frontier labs, federal preemption can reduce legal friction. Voluntary or government-coordinated evaluations can create trust without forcing them through dozens of state regimes. Export controls can slow foreign rivals while protecting U.S. incumbents that already have deep compute relationships. None of that is automatically wrong. But it is lobbying, not neutral analysis.
China's posture also contains its own contradictions. Beijing wants rapid AI adoption across industry, science, consumer services, social governance and public administration. Its AI Plus strategy sets aggressive targets for the penetration of intelligent terminals and AI agents by 2027 and 2030. At the same time, officials continue to emphasize controllable systems, stronger standards and safety reviews. The country is trying to move fast inside a state-managed lane.
That matters because the U.S. often presents itself with a false choice: innovation or regulation. China is showing a different model, though not necessarily a freer or better one. It is betting that heavy state direction can accelerate deployment while preventing outcomes the government finds unsafe or politically unacceptable. American policymakers do not need to copy that. They do need to notice it.
Startups need smarter rules, not no rules
The sharpest issue for smaller AI companies is not whether rules exist. It is whether the rules are predictable, proportional and technically clear. A frontier lab training models at the edge of biological, cyber or autonomous capability should expect more scrutiny than a five-person startup using existing models to automate insurance paperwork. Treating both companies the same would protect incumbents by making compliance a moat.
That is why the best U.S. answer is not a regulatory freeze dressed up as patriotism. It is a tiered system that separates application-level AI from frontier model development, focuses reporting on genuinely high-risk capabilities, and gives startups clear safe harbors when they use third-party models responsibly. Federal standards can help here, especially if they reduce state fragmentation without wiping out consumer protection entirely.
Investors should also be careful about accepting the China warning at face value. Regulation can absolutely slow a market if it is vague, duplicative or politically performative. But the absence of rules has costs too. Enterprise buyers want assurance. Governments want procurement standards. Insurers want measurable risk controls. Founders building in health, finance, education or critical infrastructure will find that trust is part of distribution, not a public relations add-on.
The next phase of AI policy will not be decided by slogans about winning the race. It will be decided by who can turn safety, security and deployment into a working operating system for the industry. China is moving with its own controls. U.S. companies are lobbying for their own advantages. The opportunity for American startups is to push for rules that keep the market open, make risk legible and stop the largest labs from converting national security language into a permanent policy shield.
Also read: Alphabet is closing in on Nvidia as AI lifts Google. • Europe is racing to make cheap autonomous weapons at home • Google is preparing Gemini users for stricter AI pricing.
