Policy desk

Automakers can apply for the second batch of the L3 access pilot to obtain conditional approval

M- and N-category vehicles with L3/L4 autonomous systems must comply with the mandatory standard before 1 July 2027 or cannot be sold.

SMEs and developers in Malaysia can access lower-cost compute via NACX, reducing AI R&D and deployment spend

Federal civilian agencies and their suppliers cannot deploy or retain DeepSeek products or third-party services built on them in government IT systems.

Federal civilian agencies using DeepSeek models or services must stop and switch to alternatives.

Mountain scenic areas in Shandong present procurement and deployment opportunities for hiking-assist robot vendors

Vendors serving US federal agencies must audit and remove DeepSeek technology or derivative components integrated in their products.- Third-party services built on DeepSeek (fine-tuned, distilled, or packaged) are also covered; companies with US government business need to plan model replacement.- Chinese AI models face tighter access to the US federal market; DeepSeek-dependent go-to-market strategies need reassessment.

Companies selling to US federal agencies or their suppliers must verify their tech stack contains no DeepSeek or derivative models.

Vendors and integrators in federal civilian supply chains must identify and replace products built on DeepSeek.- Companies building on Chinese open-source models face procurement restrictions when targeting US government customers.- Tightening two-way controls between the US and China raises compliance scrutiny for Chinese AI firms operating in the US and vendors with ASEAN footprints.

Companies selling to US federal agencies must confirm their supply chains contain no DeepSeek components or risk losing procurement eligibility

Companies selling to the U.S. government or federal contracting ecosystem must audit and remove components based on DeepSeek implementations or face contract compliance risk.- Third-party vendors fine-tuning or building on DeepSeek models are explicitly covered; derivative implementations cannot be used for federal work.- Firms in the China-U.S. AI supply chain must assess U.S. market access restrictions and adjust their tech stack to meet procurement requirements.

Federal software vendors must audit which open-weight models are embedded in products sold to civilian agencies and demonstrate supply chain compliance to keep contracts

Providers of high-risk AI systems that implement EN 18286 gain a presumption of conformity with Article 17 QMS requirements

Companies offering AI-generated content or products in Indonesia will need to build labelling capability into their outputs once the rule takes effect.

Transfers of AI technology, models or related technical materials abroad (including to ASEAN) will require prior export licences, raising deal timelines and compliance costs

Automakers and ADAS suppliers must audit all marketing materials, manuals, and launch statements to remove exaggerated claims or wording that downplays driver responsibility

Microsoft's UK bundling and default-install practices, including Copilot, face regulatory intervention risk; enterprises relying on the Microsoft ecosystem could gain more supplier choice

Cross-border export or transfer of AI, biopharma or solar technology will require approval, so companies must plan licensing ahead

Overseas localised deployment of restricted large models falls under export control and requires a licence (automatic licence available for deployment on overseas self-owned cloud); API calls, SaaS apps and lightweight on-device deployment are outside scope.

Foreign AI services must obtain Chinese AI approval before launching in China; Apple's approval provides a reference path for similar products.

Companies deploying AI agents in Singapore and the region can use the reference architecture to design inter-agent authentication and trust transfer, improving interoperability.

Licensed banks operating in Hong Kong must establish clear accountability mechanisms and ownership for AI systems under the ART framework

Companies doing AI R&D or deployment in Hong Kong can expect greater local compute supply; watch for application channels and pricing of compute resources.

On-device LLMs offered in China must complete CAC filing before launch; devices without updated filings (e.g. iPhone 15/15 Plus) do not carry the AI features

Companies must use IMDA's testing kit to evaluate agentic AI system safety

Mobile phone manufacturers must file AI models used in their devices with Chinese regulators

Clarifies AI's position as a teaching auxiliary tool rather than a teacher replacement

Companies must comply with EU's agentic AI application guidelines

The city government will carry out large-scale procurement of AI cameras and supporting systems, creating bidding opportunities for vendors

All teachers nationwide must participate in full-coverage AI literacy training, involving adjustments to teacher qualification exams and certification content.