Analysis
For the first time, Beijing is proposing outbound export controls on AI technologies, targeting the export of Chinese AI intellectual property and infrastructure. The draft catalogue covers 40 technologies, with 23 targeting the AI stack directly.
China’s Ministry of Commerce and Ministry of Science and Technology issued Announcement No. 48 of 2026 on October 16, signaling a fundamental shift in the nation’s approach to AI governance. For the first time, Beijing is proposing outbound export controls on AI technologies. While previous regulatory efforts focused on restricting inbound access to foreign models or managing domestic agent behavior, this proposal targets the export of Chinese AI intellectual property and infrastructure.
The draft catalogue includes 40 technologies, with 23 specifically targeting the AI stack. These range from large language models (LLMs) and AI agents to computing clusters and chip design methodologies. Under the proposal, 14 of these technologies would be prohibited from export, while 26 would be restricted, requiring specific licensing for transfer. The scope is granular: it covers model weights and source code that exceed performance thresholds, specifically models with two trillion or more parameters, or those ranking in the world’s top 10 on performance and safety benchmarks. For AI agents, the controls apply to those designed for sensitive environments, including national defense and critical information infrastructure.
This move effectively creates a bidirectional squeeze on the global agent infrastructure stack. Builders and investors have long navigated U.S. restrictions on advanced compute, which limit China’s access to high-end hardware. Now, China is mirroring that strategy by regulating the outflow of its own frontier AI software and IP. The proposal mandates that any cross-border transfer of technology ownership, IP licensing, or changes in control to overseas entities must undergo a registration process. Notably, this interim measure is already in effect as of October 16, even though the final catalogue remains under public consultation until November 15, 2026. Transactions that have already commenced but remain incomplete are also subject to this registration requirement.
Despite the breadth of these controls, the proposal includes critical carve-outs that preserve the current operational pathways for Chinese AI firms. Technologies already in the public domain via open-source releases or academic publications are excluded from the restrictions. Furthermore, the proposal distinguishes between technology transfer and service access. While the overseas deployment of restricted AI models is controlled, API and SaaS access remains exempt. This allows companies like DeepSeek and Alibaba to continue serving global customers through cloud-based interfaces without triggering the new export licensing requirements.
For builders and infrastructure providers, the distinction between service access and technology transfer is paramount. The proposal targets the underlying assets-such as on-premise redistribution of model weights or the self-hosted deployment of advanced Chinese agents-rather than the consumption of intelligence via an API. However, the inclusion of chip design tools and EDA vendors in the registration requirements adds a new layer of diligence for firms involved in cross-border M&A or collaborative hardware development. Deal-timing and ownership-change diligence are now essential components of any transaction involving Chinese AI assets.
As the industry awaits the conclusion of the public comment period, several questions remain regarding the enforcement of these registration requirements. The immediate implementation of the interim measure suggests a high priority on monitoring the movement of frontier IP. Builders operating in the agent space should assess their reliance on Chinese-developed model weights and the potential impact of these controls on their supply chains. While the current carve-outs provide a degree of stability for cloud-based operations, the regulatory landscape for AI infrastructure is clearly entering a more restrictive phase, where the movement of software is being treated with the same strategic sensitivity as the movement of silicon.
Blair Hayes works for Forkast.
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