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TL;DR
Both the US and China are actively shaping AI access policies, with recent gating efforts and discussions about restricting open weights. This dynamic influences global AI development and geopolitics.
Both the United States and China are actively pursuing policies that could restrict access to advanced AI models and open-source weights, marking a significant shift in the global AI landscape. These moves, including US export controls and Chinese discussions on limiting overseas access, have broad implications for AI development and international competition.
In June 2023, the US government implemented export controls against Anthropic’s models, effectively gating certain frontier AI models from foreign nationals, demonstrating that Washington can restrict access to deployed commercial models. Concurrently, OpenAI previewed GPT-5.6 Sol under a government-approval process, emphasizing the US’s ability to gate closed models but not open weights.
Meanwhile, China is reportedly in talks with major domestic firms like Alibaba and ByteDance to restrict overseas access to its most advanced AI models, including open-weight releases. These discussions, reported by Reuters, suggest a move toward tiered access, where high-tier models may be restricted or shipped via API only, while lower tiers remain open. This reflects China’s strategy to keep advanced AI at home, leveraging open weights as part of its industrial and soft-power strategy.
Both superpowers appear to converge on gating advanced AI for different reasons: the US aims to control national security risks and maintain technological dominance, while China seeks to protect its domestic industry and technological sovereignty. The recent actions and discussions highlight a global shift towards more controlled AI ecosystems, with open weights becoming a key battleground.
The China Open-Weight Window
Both Superpowers Just Put Their Hands on the Doors
The load-bearing assumption under Europe’s local-first economics is being stress-tested — on both sides, in the same month
Two doors, one month
The American door: gating became a regime
- Jun 2: EO 14409 — classified benchmarks, 30-day pre-release window
- Jun 12–13: export controls on two deployed Anthropic frontier models — trigger reported, not independently confirmed; company disputed; later lifted
- Jun 26: GPT-5.6 Sol ships behind customer-by-customer government approval
- The temporariness taught its own lesson about US supply reliability (CEPA)
The Chinese door: hinges of a subtler design
- May: Supreme People’s Court journal roundtable on tiered open-source governance
- Jun: Manus acquisition unwound; sweeping cross-border investment rules
- Jul 7: MOFCOM talks reported — incl. unreleased and open-weight models; discussions, not decree
- Tiering already visible: Qwen 3.6 open, Qwen 3.7 Max API-only
THE STRUCTURAL ASYMMETRY
The US can gate its closed models; it cannot gate published weights. Every gated American model makes the ungatable open alternative relatively more attractive — a feedback loop that is now official-policy-shaped. Beijing’s version inverts it: keep the mid-tier open for soft power, move the frontier behind the counter.
Five moves while the width is known
The verdict: existing checkpoints are safe — the refresh cycle isn’t. The practical question for 2027 is not “will GLM-5.2 vanish?” but “will GLM-6 ship open at launch?” Watch launch mode, not launch benchmarks. The window’s width will be announced in a launch post, not a policy paper.

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Implications of US and China’s AI Gating Policies
This evolving landscape matters because it shapes the future of AI development, international competitiveness, and technological sovereignty. US gating efforts, such as export controls, could limit access to frontier models globally, prompting the open-source ecosystem to become more attractive and potentially fueling Chinese AI growth. Conversely, China’s discussions on restricting overseas access aim to safeguard its technological advancements and prevent foreign distillation or theft, reinforcing its domestic AI ecosystem. These policies influence global AI standards, supply chains, and soft power, with potential ripple effects across industries and geopolitics.

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Recent US and Chinese AI Policy Movements
Over the past year, the US has moved to regulate AI exports and deployment, exemplified by the June 2023 export controls against Anthropic’s models and the preview of GPT-5.6 Sol under a government approval regime. These actions signal a shift toward gating advanced models, even mid-deployment. Meanwhile, China has engaged in policy discussions to limit overseas access to its AI models, including open-weight releases, as part of a broader strategy to keep critical AI capabilities domestically. The Chinese government’s May and July reports indicate a move toward tiered access, with high-tier models possibly restricted to API delivery and lower tiers remaining open, aligning with its industrial policy and soft-power ambitions.
This pattern reflects a broader global trend: both superpowers recognize the strategic importance of controlling AI access to maintain technological and geopolitical advantage. The US’s focus on national security contrasts with China’s emphasis on industrial sovereignty, yet both are converging on gating as a policy tool.
“The recent US export controls and Chinese policy discussions highlight a strategic shift toward gating advanced AI models, signaling a new era of controlled access.”
— Thorsten Meyer, AI infrastructure expert

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Unclear Scope and Future of AI Gating Policies
It remains uncertain how widespread or permanent these gating measures will become, especially regarding open weights. While US export controls target specific models, the long-term impact on the open ecosystem is unclear. Similarly, China’s discussions may result in partial restrictions or tiered access, but concrete policy decisions or timelines have not been publicly confirmed. The effectiveness and global repercussions of these policies are still unfolding, and the potential for escalation or cooperation remains unknown.

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Next Steps in US-China AI Policy Developments
In the coming months, further US regulatory actions or clarifications are expected, potentially expanding gating measures or establishing clearer standards. For China, official policy announcements or legislative moves regarding tiered access or restrictions on open weights could clarify the direction. International responses, including collaborations or rival policies, may also shape the global AI ecosystem. Monitoring these developments will be crucial to understanding how the balance of open versus gated AI evolves and what that means for innovation and geopolitics.
Key Questions
What are open weights, and why are they important?
Open weights are the underlying parameters of AI models made publicly available, allowing anyone to run, modify, or improve the models. They are vital for open-source AI development, fostering innovation, and reducing reliance on proprietary systems.
How might US and Chinese policies affect AI innovation globally?
US gating measures could limit access to frontier models for some international actors, potentially encouraging open-source ecosystems. China’s restrictions aim to protect domestic advancements but may also fragment the global AI landscape, impacting collaboration and standards.
Are these policies likely to become permanent?
It is still unclear whether the current gating measures are temporary or part of a longer-term strategy. Both countries are actively debating and adjusting policies, so the situation remains fluid.
Could open weights still be shared despite restrictions?
Yes, open weights can still be distributed independently of proprietary models, but increasing restrictions and tiered access could make open weights less accessible or more regulated in practice.
What are the risks of gating AI models?
Gating could slow innovation, increase geopolitical fragmentation, and incentivize the development of open ecosystems outside official controls. It may also impact global cooperation on AI safety and ethics.
Source: ThorstenMeyerAI.com