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AI Governance at a Crossroads: China Calls for Global Rules

6/24/2026, 9:04:22 PM

Chinese Premier Warns of Uncontrolled AI and Calls for Global Governance

At the World Economic Forum ‘Summer Davos’ meeting in Dalian on 24 June, Chinese Premier Li Qiang warned that the world could “lose control” of frontier technologies such as artificial intelligence without swift regulation. He praised AI’s boost to “innovation efficiency” while flagging security, labour-market and ethical risks, and pledged China’s participation in a multilateral AI cooperation framework.

Rapid AI Growth and Emerging Risks

Large-language models and generative AI now power education, healthcare and industry at unprecedented speed, while raising concerns about misuse in conflict, cyber-attacks and bioweapon creation. The spread outpaces many national regulatory systems.

Key Voices

WEF’s Mirek Dusek warned of a backlash without real-economy anchoring; Gartner’s Jorg Heizenberg and Georgia O’Callaghan urged unified governance; APAC Advisors CEO Steven Okun highlighted AI’s cross-sector societal risks.

Data Highlights

Gartner’s 2025 survey shows three-in-five firms have AI in production; six-in-ten IT leaders fear cost overruns, while only two-in-ten worry about pricing limits. Companies spending 30 % more on data management, governance and talent report higher AI satisfaction. In Singapore, 70 % of female workers hold high-automation roles and 31 % now cite job replacement as their top workplace fear, up from 8 % in 2025.

Implications of Governance Gaps

Weak governance risks economic slowdown, accelerates labour displacement, widens inequality, raises security threats, and adds energy pressure from AI-intensive data centres, creating a climate-workforce-fairness trilemma.

Official Statements & Responses

Li Qiang warned that inadequate governance could lead to serious consequences. Wang Yi described the AI cooperation body as a counter to “closed, exclusive and monopolistic” approaches. Dusek cautioned of a “backlash against some of these technologies” without real-economy anchoring.

Criticism & Opposition

Analysts note many firms lack transparent cost models, leading to unpredictable expenses, and that rapid AI roll-outs often outpace change-management capacity. Critics such as Okun argue AI’s “great equaliser” promise is uneven, widening gender and income gaps without coordinated reskilling.

Conflicting Reports & Gaps

China stresses global cooperation, yet Gartner data reveal internal governance shortfalls and cost uncertainty. The AI cooperation body has not disclosed participating nations, leaving its global scope ambiguous.

Verbatim Quotes

  • “The speed of technological progress is unprecedented,” — Li Qiang, Premier of China
  • “If governance in this area fails to keep pace, there could be serious consequences.” — Li Qiang, Premier of China
  • “AI can be an expensive lesson,” — Jorg Heizenberg, Gartner vice-president analyst
  • “AI is often framed as the great equaliser. The reality is the opposite,” — Steven Okun, CEO, APAC Advisors

Outlook

China plans to refine its AI cooperation whitepaper and join multilateral standard-setting. Gartner projects that by 2028 organisations using specialised governance tools will cut compliance costs by up to 20 %. Singapore will deepen SkillsFuture and ACCA guidelines to embed responsible AI across corporate boards and public agencies.