The AI Power Struggle and the Future of Intelligence

In brief

What this examines

This opinion piece argues that frontier AI development is increasingly concentrated among a small number of corporate and government actors. It frames disputes over data access, competition, safety, and national security as part of a broader struggle over who controls advanced intelligence.

Why it matters

The article advocates open-source, decentralized, federated, and locally controlled AI as a counterweight to concentrated power. It also warns that safety narratives and regulations can become tools of regulatory capture when they burden independent developers more than incumbents.

Key ideas

• Dominant AI firms can frame competitors' data practices as unethical while benefiting from their own privileged data access.
• Public-sector and corporate partnerships may concentrate AI capability and oversight in the same hands.
• Western and Chinese AI surveillance risks should be evaluated consistently.
• Open-source platforms, decentralized AI, federated learning, and peer-to-peer models can improve transparency and access.
• The future of intelligence depends on who controls the models, data pipelines, and rules of participation.