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Global AI regulation and governance trends

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2026-10-09 11:42 UTC → 2026-10-24 17:31 UTC · added ~~removed~~

Global approaches to artificial intelligence regulation and governance continue to diverge. The European Union has implemented its AI Act using a four-tier risk model, while China maintains strict state control and has rejected international calls to slow technological progress. In the United States, the regulatory landscape has shifted; President Donald Trump revoked a 2023 executive order regarding AI safety testing results, maintaining a reliance on voluntary industry commitments. Economically, the IMF suggests AI could increase annual global economic growth by 0.5 percentage points, but warns that investment concentration in the US, China, and India may exacerbate global inequality. Within the corporate sector, new governance challenges have emerged. Enterprises are struggling with ‘shadow AI’, where employees use unapproved tools that create security risks. Additionally, Chief Information Officers (CIOs) face difficulties governing autonomous AI agents and managing the rising financial costs of AI workloads. While AI offers productivity potential, experts indicate that its actual impact on the labor market will depend on organizational structure and process design rather than technical capability alone. Recent developments show AI governance becoming a central theme in regional policies and bilateral diplomacy. In Taiwan, Deputy Minister of Digital Affairs Hou Yi-hsiu has advocated for ‘Sovereign AI’ to ensure national autonomy, suggesting Taiwan leverage its hardware advantages in chips and servers to contribute to global safety. Meanwhile, Chinese Foreign Minister Wang Yi has called for increased cooperation between China and the United States to establish global rules and standards, emphasizing the need for both nations to ensure long-term human control over AI systems to maintain strategic stability.

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