AI Ownership
ai-ownership (E11)← Back to pagePath: /ai-transition-model/factors-ai-ownership-overview/
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Entity Data
{
"id": "ai-ownership",
"type": "ai-transition-model-factor",
"title": "AI Ownership",
"description": "The distribution of control over AI systems across actors—countries, companies, and individuals. Concentration creates both coordination opportunities and power risks.",
"tags": [
"ai-transition-model",
"factor",
"ownership",
"concentration"
],
"relatedEntries": [
{
"id": "long-term-trajectory",
"type": "ai-transition-model-scenario",
"relationship": "drives"
},
{
"id": "long-term-lockin",
"type": "ai-transition-model-scenario",
"relationship": "enables"
},
{
"id": "ai-control-concentration",
"type": "ai-transition-model-parameter",
"relationship": "composed-of"
}
],
"sources": [],
"lastUpdated": "2026-01",
"customFields": [
{
"label": "Model Role",
"value": "Root Factor (AI System)"
},
{
"label": "Character",
"value": "Distribution factor"
},
{
"label": "Key Dimensions",
"value": "Countries, Companies, Shareholders"
}
]
}Canonical Facts (0)
No facts for this entity
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Backlinks (2)
| id | title | type | relationship |
|---|---|---|---|
| long-term-trajectory | Long-term Trajectory | ai-transition-model-scenario | driver |
| long-term-lockin | Long-term Lock-in | ai-transition-model-scenario | driven-by |
Frontmatter
{
"numericId": "E661",
"title": "AI Ownership",
"description": "Root factor measuring AI control distribution across countries, companies, and individuals.",
"sidebar": {
"label": "Overview",
"order": 0
},
"lastEdited": "2026-01-05",
"subcategory": "factors-ai-ownership"
}Raw MDX Source
---
numericId: E661
title: AI Ownership
description: Root factor measuring AI control distribution across countries, companies, and individuals.
sidebar:
label: Overview
order: 0
lastEdited: "2026-01-05"
subcategory: factors-ai-ownership
---
import {DataInfoBox, FactorSubItemsList, PageCauseEffectGraph, EntityLink} from '@components/wiki';
<DataInfoBox entityId="E11" />
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](/ai-transition-model/graph/).**
## Key Dimensions
<FactorSubItemsList factorId="ai-ownership" />
## Relationship to Scenarios
AI Ownership primarily affects **Long-term <EntityLink id="E189">Lock-in</EntityLink>** 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:
- **<EntityLink id="E670">AI Takeover</EntityLink>**: Concentrated ownership could help or hurt depending on the actor
- **<EntityLink id="E671">Human-Caused Catastrophe</EntityLink>**: 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? |