AI Giants and US Lawmakers Push for Regulation—But the Fight Is Over Who Gets to Write the Rules

Anthropic, Google, and OpenAI are publicly converging on one point: some form of AI regulation is necessary, even as they disagree on how it should be designed and enforced. The articles frame the current regulatory process as dysfunctional, implying that industry and policymakers lack a shared implementation pathway and that compliance burdens are not translating into clear safety outcomes. In parallel, Russian policymaking is moving toward more explicit guardrails for how AI is built and distributed, with Anatoly Aksakov arguing that the use of open-source libraries for Russian AI models should be more clearly regulated. Separately, a US legal-policy analysis argues that the Great American AI Act (GAAIA) is a strong federal frontier AI safety framework in concept, but that its sweeping preemption of state AI laws could be net-negative as written. Geopolitically, the dispute is less about whether to regulate and more about regulatory jurisdiction, standard-setting power, and the ability to shape cross-border AI ecosystems. If the US federal government preempts state rules, it could centralize compliance and influence how global firms operationalize safety requirements, potentially advantaging actors that can meet federal standards quickly while disadvantaging smaller state-driven initiatives. Russia’s push for clearer rules around open-source libraries signals a different priority: controlling the supply chain of model development components, not just the deployment of finished systems. Together, these positions suggest an emerging competition over “rules of origin” for AI—who defines acceptable building blocks, what documentation is required, and how enforcement is coordinated across jurisdictions. Market and economic implications are likely to be felt most directly in frontier model development, cloud AI services, and compliance tooling. If regulation tightens around open-source usage and model supply chains, it can raise effective development costs for teams relying on widely used libraries, potentially shifting demand toward vendors that can provide provenance, auditing, and licensing assurances. In the US, a GAAIA design that preempts state laws could reduce fragmentation for large platforms, but it may also trigger legal and political uncertainty that delays investment decisions in the near term. For investors, the near-term signal is a higher probability of regulatory-driven capex and spend on governance, risk management, and monitoring—factors that can influence margins for AI infrastructure providers and enterprise AI adopters. What to watch next is whether the US legislative process narrows the preemption question or introduces carve-outs that preserve some state-level experimentation while still meeting federal safety goals. On the Russian side, the key trigger is how Aksakov’s proposal translates into specific requirements for open-source libraries—such as documentation, traceability, or constraints on certain components—and whether enforcement begins through licensing or procurement rules. Industry alignment among Anthropic, Google, and OpenAI may accelerate consensus on high-level principles, but the real test will be whether they accept jurisdictional trade-offs and compliance timelines. A practical escalation/de-escalation window is the next round of legislative amendments and committee actions in the US, alongside any Russian regulatory drafts that specify implementation details for open-source AI development.

Geopolitical Implications

• 01

  AI rules are becoming a strategic tool to shape supply chains and de facto global standards.

• 02

  US federal preemption could concentrate compliance power and accelerate scaling for firms that meet federal standards first.

• 03

  Russia’s focus on open-source components suggests an effort to control development inputs and reduce exposure to uncontrolled ecosystems.

• 04

  Divergent regulatory approaches may increase friction for multinational AI firms and complicate harmonization of safety requirements.

Key Signals

• —US amendments clarifying whether GAAIA preemption is narrowed or paired with state carve-outs.
• —Russian drafts specifying concrete obligations for open-source libraries and enforcement channels.
• —Industry positions indicating acceptance or resistance to jurisdictional trade-offs and compliance timelines.
• —Market indicators: volatility in AI governance-sensitive equities and growth in RegTech/compliance demand.