OpenAI Launches AI Futures: A New Team On AI And Concentration Of Power
OpenAI published a post on August 20, 2026 titled "Introducing AI Futures." Everything below comes from that first party announcement.
Transcript
OpenAI launched a new team studying whether AI could let governments hold power without public consent.
OpenAI published the first post on AI Futures, a blog from its new Strategic Futures team. The author, Dean Ball, says the views are his own.
The post argues power has always needed soldiers, police, and taxes from human work. Autonomous systems and data center revenue could remove that dependence on people.
The team calls this a concentration of power risk. It wants balance, not full decentralization, plus rules tying high stakes AI actions back to responsible humans.
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Sources
Every claim in this video comes from the top ranking coverage of this topic. The claims and where each one came from:
- It is our pleasure to launch AI Futures, the blog of OpenAI's new Strategic Futures team.(OpenAI's official announcement, Introducing AI Futures, published August 20, 2026)
- By Dean Ball. The post below reflects the views of its author, and not necessarily those of any other OpenAI employees or of the organization as a whole.(OpenAI's official announcement, Introducing AI Futures, published August 20, 2026)
- We are a small team with the collective goal of answering one overarching question: how should free society be restructured to preserve individual rights and agency while accommodating the emergence of transformative AI?(OpenAI's official announcement, Introducing AI Futures, published August 20, 2026)
- Questions like this are sometimes referred to as concentration of power risks. Our team is founded on the idea that, in the long run, this category of risk is the largest, most serious, and most conceptually challenging to address.(OpenAI's official announcement, Introducing AI Futures, published August 20, 2026)
- For all of human history, that monopoly has consisted of soldiers and what we today call police, along with a vast civil-military bureaucracy, funded by taxes collected from the wages or production of human beings. Power, at the core, has depended upon the large-scale cooperation and consent of many human beings.(OpenAI's official announcement, Introducing AI Futures, published August 20, 2026)
- Advancements in real-world autonomous systems may soon mean that states will be able to project force without relying on cooperative soldiers or police officers. And advancements in machine intelligence may mean that the state can collect the revenue it needs not from the fruit of individual human labor, but from the outputs of data centers.(OpenAI's official announcement, Introducing AI Futures, published August 20, 2026)
- The answer to the structural challenge is likely not the most radical decentralization of power imaginable. Instead, it is seeking to establish and preserve the right balance of power, such that no single actor, or small set of actors, can dominate the rest.(OpenAI's official announcement, Introducing AI Futures, published August 20, 2026)
- Long-run AI governance will rely upon new institutional mechanisms to achieve bounded legibility: when AI systems engage in high-stakes actions affecting the physical wellbeing or property of bystanders, those actions must be able to be tied back to a responsible human or human-controlled organization.(OpenAI's official announcement, Introducing AI Futures, published August 20, 2026)