AI Scenarios 2030: Helping policymakers plan for the future of AI

This report analyzes five plausible AI futures through 2030 to help policymakers navigate uncertainty and prepare for risks and opportunities. It explores scenarios ranging from slowed AI progress to rapid advancement, examining impacts on policy, economy, labor markets, and global cooperation. The report aims to provide evidence-based depictions of AI trajectories for stress-testing policies and promoting long-term planning coherence.

(Generated with the help of Perceptful.AI)

Quick Facts
Report location: https://www.gov.uk/government/publications/ai-scenarios-2030-helping-policymakers-plan-for-the-future-of-ai
Language: English
Publisher: Government Office for Science
Publication date: 2026-06-15
Authors: N/A
Time horizon: 2030s
Geographic focus: Global
Page count: 72 pages

Methods

The report combines qualitative workshop-based approaches and General Morphological Analysis to explore complex interactions between six critical uncertainties: Capability, Distribution and model access, Security, Adoption, Labour displacement, and Global cooperation. These methods help construct scenarios that are not predictions but tools for exploring different futures and stress-testing policies.

(Generated with the help of Perceptful.AI)

Key Insights

The report outlines five AI scenarios for 2030: Slow Burn, Open Frontier, Augmented Growth, Transformation Economy, and Take-Off. Key insights include: AI capabilities will increase, potentially causing labor displacement and economic tensions; the frontier AI market remains concentrated; global competition will intensify; international cooperation is fragmented; and risks include cyberattacks, uncontrolled AI systems, and geopolitical conflict. Opportunities include productivity gains, scientific breakthroughs, and new job creation. The report recommends using scenarios to stress-test policies, prepare for shocks, and promote international cooperation.

(Generated with the help of Perceptful.AI)

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