The United States government is increasingly adopting state-led interventionist strategies to manage artificial intelligence, mirroring the long-standing regulatory playbook utilized by Beijing. While public discourse often frames the development of advanced computing as a binary geopolitical rivalry, current policy shifts suggest that Washington and Beijing are converging on a shared philosophy: that AI is a strategic national security asset requiring direct government oversight, export controls, and industrial subsidies.
This shift represents a departure from the traditional American model of laissez-faire technology development. According to the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence signed by President Joe Biden in October 2023, the federal government now mandates that developers of powerful AI systems share safety test results with the Department of Commerce. These requirements establish a level of federal visibility into private sector R&D that was previously uncommon in the U.S. technology sector.
Convergence on Industrial Policy
For years, the Chinese government has utilized state-directed initiatives to prioritize AI development, most notably through its Next Generation Artificial Intelligence Development Plan, released in 2017. This framework explicitly aligned private enterprise goals with national strategic objectives. Washington is now implementing its own version of this industrial policy, primarily through the CHIPS and Science Act of 2022, which authorized $52.7 billion in government funding for semiconductor research and manufacturing.
The objective in both capitals is to ensure domestic control over the foundational hardware and software required for the next generation of computing. By tying private sector success to national security imperatives, both nations are moving away from the premise that AI innovation should be left entirely to market forces. This convergence suggests that the “race” is less about which nation can innovate faster and more about which nation can more effectively institutionalize state control over the technology’s trajectory.
The Role of Export Controls and Security Restrictions
A primary tool in this emerging American playbook is the use of stringent export controls, a tactic long used by Beijing to maintain domestic control over its tech ecosystem. In October 2023, the U.S. Department of Commerce’s Bureau of Industry and Security (BIS) updated its restrictions on the export of advanced computing chips and semiconductor manufacturing equipment to China. These rules are designed to prevent the use of American technology in the development of Chinese military AI capabilities.
This approach mirrors the “Great Firewall” and domestic content restrictions seen in China, which serve to insulate the domestic market from foreign influence while fostering local champions. By restricting the flow of high-end hardware, the U.S. is essentially attempting to create a “walled garden” for AI development, ensuring that the most powerful tools remain under the influence of domestic policy mandates. The U.S. Department of State has characterized these actions as necessary measures to protect critical and emerging technologies from being leveraged by strategic competitors.
Impact on Global Innovation
The trend toward state-directed AI policy carries significant implications for global developers. As both the U.S. and China demand greater transparency into AI models, companies are facing a fragmented regulatory landscape. According to the OECD AI Principles, international cooperation is essential to avoid a “race to the bottom” in safety standards or a “race to the top” in restrictive protectionism. However, the current trajectory suggests that national security considerations are consistently overriding calls for globalized, open-source development.
For researchers and private firms, this means that the era of borderless AI innovation is closing. The requirement to report safety data, coupled with restricted access to foreign markets and hardware, creates a high barrier to entry that favors established, well-resourced corporations capable of navigating complex compliance regimes. This creates an environment where only those firms that align closely with their respective government’s national security agenda are likely to thrive.
Future Regulatory Checkpoints
The next phase of this policy evolution will likely center on the implementation of standards established by the newly formed U.S. AI Safety Institute, housed within the National Institute of Standards and Technology. The Institute is currently tasked with developing technical guidelines for testing the safety and reliability of AI models before they are released to the public. Future federal budget hearings, expected in the upcoming fiscal year, will determine the extent of funding for these oversight bodies and will likely provide further insight into the depth of Washington’s commitment to this interventionist strategy.
As these policies take shape, the divergence between the U.S. and China may prove to be more about the rhetoric of governance than the mechanics of control. Both systems are increasingly defined by a belief that AI is too critical to be left to the private sector alone. Readers interested in following these developments can monitor official updates via the Federal Register or the public briefing rooms of the Department of Commerce. Please share your thoughts on the shifting landscape of AI governance in the comments section below.