AI Regulation & Policy

Today's Stories

1. 1

   Palantir, Nvidia team up on sovereign AI for governments

   Palantir Technologies announced a partnership with Nvidia to deploy sovereign AI solutions for government agencies, using Nvidia's open AI model Nemotron as a core building block within Palantir's software platforms. The collaboration targets governments' need to keep sensitive data under local control while meeting compliance and national sovereignty requirements—a central requirement for public sector AI adoption that sits at the heart of Palantir's government business.

   The partnership may influence how Palantir approaches new government bids and technology alignment with public sector clients, and could shape how investors view Palantir's role in the wider AI supply chain spanning chips, models, and application-level software.

2. 2

   China launches parallel AI order with 29 nations, offers 5,000 training slots

   Xi Jinping announced 5,000 AI training slots for Global South countries over the next five years at the World AI Conference in Shanghai. A day earlier, 29 nations formally established the World Artificial Intelligence Cooperation Organization (WIKO), headquartered in Shanghai, with founding members including Russia, Brazil, South Africa, Pakistan, and Indonesia—but no Western countries. This is China's clearest move to build an AI governance structure independent of Western influence, anchored in developing-world alliances. Xi also called for AI to remain under human control and pushed back against broad national security justifications in AI policy, a criticism aimed at US export controls on AI chips and technology.

   China's "Smart Economy," spanning AI and other digital technologies, is now worth over one trillion renminbi, roughly $140 billion（約22兆円）, according to Xi—a measure of the scale of China's AI infrastructure and ambitions within this new framework.

3. 3

   McLaren Construction deploys FieldAI robots on UK sites for quality checks

   McLaren Construction has partnered with FieldAI, a physical AI developer, to deploy autonomous quadruped robots across its UK construction sites. The robots will initially capture 360° imagery, generate point cloud data, conduct safety patrols, and verify progress against design models. The robots perform AI-enabled deviation analysis to compare site conditions against design specifications, catching quality issues earlier and reducing rework—a significant shift from remote-controlled or pre-programmed machines. This marks FieldAI's entry into the UK market and extends its existing deployments across hundreds of sites in Europe, Asia, and North America.

   McLaren expects the partnership to deliver more reliable project monitoring and stronger evidence for compliance and quality assurance. Over time, the robots' capabilities will expand to site logistics, dexterous manipulation, and multi-robot coordination as FieldAI's general-purpose systems grow more capable.

4. 4

   Brex builds AI agent control layer at network level, not in rules

   Brex created CrabTrap, an open-source HTTP/HTTPS proxy that intercepts all network traffic from AI agents, examines policy rules, and uses an LLM-as-a-judge to approve or deny requests. The company found that traditional guardrails could not contain what agents were doing with real credentials like API keys and OAuth tokens. Brex's approach addresses a gap in how AI agents are currently governed—frameworks like OpenClaw enable agents to act, but lack enterprise-scale safeguards. By enforcing policy at the network layer rather than in the agent's code, organizations can audit and control agent behavior in real time, even when agents have genuine credentials to systems that matter.

   Brex CEO Pedro Franceschi frames this as a shift in how IT leaders should think about agent governance: moving from SDK-level permissions and model guardrails to centralized network control. How widely CrabTrap is adopted, and whether other enterprises adopt similar network-layer enforcement, will signal whether this architectural approach becomes standard practice.

5. 5

   Smartsheet launches AI agent interface on AWS; cuts token use 35–47%

   Smartsheet built a remote Model Context Protocol (MCP) server on AWS that gives AI clients like Amazon Quick and Claude Desktop direct access to Smartsheet's data and APIs. The server uses AWS Fargate, Amazon Kinesis, Amazon Neptune, and other services to let AI agents autonomously manage tasks, create sheets, and update projects—compressing workflows that took weeks into days or hours. Enterprise teams deploying AI agents need structured, secure access to internal data. Smartsheet's MCP server solves this by running behind the same security layer (AWS WAF, AWS Shield, OAuth2) as production APIs, with built-in governance—administrators can restrict agents to read-only or allow full write access per organization. Since launch, Smartsheet has saved over 3 billion tokens through AI-optimized serialization and progressive disclosure, directly reducing LLM inference costs.

   Smartsheet optimizes token consumption at three levels—progressive disclosure that caps response size, strongly typed schemas to prevent hallucinated parameters, and a proprietary serialization format that reduces token count by 35–47 percent on data-heavy responses. Deployments roll to the smallest region first, validated by canary tests running every 15 minutes against the live environment.

6. 6

   GPT-5-6 Sol, Kimi K3 launched; AI regulation calls mount

   Multiple AI models launched this week, including GPT-5-6 Sol, Kimi K3 (rolling out now), Muse Spark 1.1 from Meta, and Inkling from Thinking Machines. Demis Hassabis issued a call for regulatory action, and a new open letter on AI regulation was published. An Opus 5 announcement is expected soon. The pace of model releases signals ongoing competition among AI developers to deploy new capabilities. The simultaneous push for regulatory frameworks suggests tension between rapid deployment and calls for governance—a pattern the source describes as part of a larger weekly news cycle that now requires splitting into multiple parts.

   Kimi K3 will be covered in detail next week. An Opus 5 announcement is likely coming soon. The regulatory calls by Hassabis and the open letter indicate growing pressure for policy action alongside continued model development.