Page StatusAI Transition Model
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AI Uses
Entry
AI Uses
Model RoleRoot Factor (AI System)
CharacterDistribution factor
Key DomainsRecursive AI, Industries, Governments, Coordination
Related
ai-transition-model-factors
ai-transition-model-parameters
AI Uses refers to where and how AI is actually deployed in the economy and society. Key applications include recursive AI development (AI improving AI), integration into critical industries, government use for surveillance or military, and tools for coordination and decision-making.
For interactive exploration of how AI Uses relates to other factors, see the AI Transition Model Graph.
Key Dimensions
Relationship to Scenarios
AI Uses primarily affects Long-term Lock-inRiskLock-inComprehensive analysis of AI lock-in scenarios where values, systems, or power structures become permanently entrenched. Documents evidence including Big Tech's 66-70% cloud control, AI surveillanc...Quality: 64/100 scenarios:
- Where AI is deployed determines what structures get entrenched
- Recursive AI capabilitiesParameterRecursive AI CapabilitiesThis page contains only component placeholders with no actual content about recursive AI capabilities - where AI systems improve their own capabilities or develop more advanced AI systems. Cannot b... could accelerate all scenarios
- Government use shapes surveillance and control possibilities
Also affects:
- AI TakeoverScenarios Ai Takeover OverviewScenarios where AI gains decisive control over human affairs - either rapidly or gradually.: Recursive AI and broad deployment increase takeover paths
- Human-Caused CatastropheScenarios Human Catastrophe OverviewScenarios where humans use AI to cause mass harm - through state actors or rogue actors.: Some uses increase risk, others enable better coordination
Key Debates
| Debate | Question |
|---|---|
| Takeoff speed | Will AI self-improvement be gradual (months/years) or sudden (days/weeks)? |
| Human bottlenecks | Do human researchers bottleneck recursive improvement, or can AI overcome these? |
| Critical infrastructure | How much AI in critical systems is too much? |
| Reversibility | Once AI is deeply integrated, can we remove it if problems emerge? |
See Also
- Long-term Lock-inScenarios Long Term Lockin OverviewScenarios involving permanent entrenchment of values, power structures, or epistemic conditions. - Primary outcome affected
- Agentic AICapabilityAgentic AIComprehensive analysis of agentic AI capabilities and risks, documenting rapid adoption (40% of enterprise apps by 2026) alongside high failure rates (40%+ project cancellations by 2027). Synthesiz...Quality: 63/100 - Related capability
- AI Transition Model - Interactive graph showing relationships
How AI Gets Deployed
The four deployment domains, their drivers, and key uncertainties.
Computing layout...
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