Page StatusAI Transition Model
AI Ownership
Entry
AI Ownership
Model RoleRoot Factor (AI System)
CharacterDistribution factor
Key DimensionsCountries, Companies, Shareholders
Related
ai-transition-model-scenarios
Long-term TrajectoryAi Transition Model ScenarioLong-term TrajectoryThis page contains only a React component reference with no actual content loaded. Cannot assess substance as no text, analysis, or information is present.Long-term Lock-inAi Transition Model ScenarioLong-term Lock-inScenarios where AI enables irreversible commitment to suboptimal values, power structures, or epistemics—foreclosing better futures without catastrophic collapse.
ai-transition-model-parameters
AI Control ConcentrationAi Transition Model ParameterAI Control ConcentrationThis page contains only a React component placeholder with no actual content loaded. Cannot evaluate substance, methodology, or conclusions.
Entry
AI Ownership
Model RoleRoot Factor (AI System)
CharacterDistribution factor
Key DimensionsCountries, Companies, Shareholders
Related
ai-transition-model-scenarios
Long-term TrajectoryAi Transition Model ScenarioLong-term TrajectoryThis page contains only a React component reference with no actual content loaded. Cannot assess substance as no text, analysis, or information is present.Long-term Lock-inAi Transition Model ScenarioLong-term Lock-inScenarios where AI enables irreversible commitment to suboptimal values, power structures, or epistemics—foreclosing better futures without catastrophic collapse.
ai-transition-model-parameters
AI Control ConcentrationAi Transition Model ParameterAI Control ConcentrationThis page contains only a React component placeholder with no actual content loaded. Cannot evaluate substance, methodology, or conclusions.
AI Ownership refers to who controls the most powerful AI systems and their outputs. Concentration among a few companies, countries, or individuals creates different risks than broad distribution. Ownership structure shapes incentives, accountability, and the distribution of AI benefits.
For interactive exploration of how AI Ownership relates to other factors, see the AI Transition Model Graph.
Key Dimensions
Relationship to Scenarios
AI Ownership primarily affects Long-term Lock-inRiskAI Value Lock-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:
- Concentrated ownership shapes what values and power structures get entrenched
- Ownership patterns determine accountability and reversibility
- Distribution of AI benefits affects social stability
Also affects:
- AI TakeoverE670Scenarios where AI gains decisive control over human affairs - either rapidly or gradually.: Concentrated ownership could help or hurt depending on the actor
- Human-Caused CatastropheE671Scenarios where humans use AI to cause mass harm - through state actors or rogue actors.: Depends on who controls AI and their intentions
Key Debates
| Debate | Question |
|---|---|
| Concentration effects | Is AI lab concentration good (easier to regulate) or bad (single points of failure)? |
| Profit vs safety | Can profit-motivated companies be trusted with AI safety? |
| Open source role | Does open source AI democratize capability or make dangerous systems accessible? |
| US-China dynamics | Is competition inevitable, or can cooperation emerge? |