UN scientific panel warns AI could widen global inequality

The Guardian reports that the UN's first global scientific panel on AI warned that rapid AI development could deepen inequality unless countries build shared rules and local capacity. The report says countries relying on foreign models, cloud infrastructure, and data pipelines may gain access to AI while losing practical control over standards, safeguards, and local fit. It highlights gaps in compute, language coverage, internet access, and evaluation expertise ahead of the UN's global dialogue on AI governance.

Key details: The UN panel says AI adoption is concentrated in the U.S., China, and a small number of firms, The report warns that countries may gain access while losing practical control over AI systems, The panel highlights language, infrastructure, energy, and safety-evaluation gaps.

Why it matters: Global AI governance is shifting from abstract risk language toward concrete questions of compute access, language inclusion, and national control.