As AI shifts from generating content to taking action, it is no longer just a technology story — but a governance challenge
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China’s annual “Two Sessions” gathering has long served as a showcase for growth priorities, industrial strategy and technological ambition. This year, however, one theme is becoming harder to ignore: artificial intelligence is increasingly being treated as a governance problem.
That shift matters. For much of the past decade, China’s AI story was framed around scale — who had the most data, the strongest engineering talent, the deepest industrial base and the fastest path to commercialization. Now the debate is changing because the technology itself is changing. The rise of AI agents — systems designed to take actions across apps, devices and services — is forcing policymakers to confront a more complicated set of legal, economic and social questions.
That challenge is especially urgent as Beijing promotes its broader “AI+” strategy to accelerate adoption across the economy. The state wants AI to raise efficiency, strengthen industrial upgrading and support growth. But the more widely these systems are deployed, the more complicated the governance questions become.
The urgency is already visible in the OpenClaw frenzy that has swept China in recent weeks. In Shenzhen, crowds lined up outside Tencent’s office for help installing the viral open-source agent. Local governments in Shenzhen and Wuxi moved to subsidize OpenClaw-related projects.
Meanwhile, a U.S. federal judge recently issued a preliminary injunction in the case of Amazon vs. Perplexity AI, ordering the company to stop its Comet browser AI agent from accessing password-protected Amazon accounts. The court signaled that user permission alone may not be enough for AI agents to operate on third-party platforms, suggesting that both user consent and platform authorization could be required. This “dual authorization” principle may mark the beginning of a new legal framework for agentic AI.
Traditional chatbots mostly stayed within a single interface. They summarized documents or generated text, for instance. AI agents promise something more …Full story available on Benzinga.com
