Altman's Three AI Endgames: Global Governance, Lab Merger, or RSI Monopoly

Altman's Three AI Endgame Scenarios

According to The Information , OpenAI CEO Sam Altman recently outlined three possible outcomes for the AI competition during an internal staff meeting:

First, the establishment of a global regulatory body; second, a merger of top-tier labs into a single institution; third, a breakthrough by one company that could even disable competitors' hardware.

Altman described the third scenario as "terrible."

Path 1: IAEA-Style Global Governance

The first path proposes creating an international oversight organization modeled on the International Atomic Energy Agency (IAEA). This body would supervise the most advanced AI systems, set unified safety standards, and require independent audits of developers.

As early as May 2023, Altman co-authored the article "Governance of Superintelligence" with Greg Brockman and Ilya Sutskever, arguing that future AI development above certain capability or compute thresholds should be subject to inspections, safety audits, compliance testing, and compute/energy monitoring.

However, because AI is now a strategic national priority, international regulation faces hurdles around technical secrecy, national security, and industrial competition. Whether nations would accept uniform rules remains highly uncertain.

Path 2: CERN-Style Unified Laboratory

The second path, dubbed the "Demis plan" after DeepMind's Demis Hassabis, envisions leading AI labs merging into a single organization governed by multiple nations, similar to the European Organization for Nuclear Research (CERN).

Centralizing the most advanced models, talent, and compute would allow shared safety standards and prevent a race to release products prematurely. Yet concentrating such power in one entity raises a new challenge: how to prevent excessive concentration of technical and economic influence.

Path 3: Winner-Takes-All via Recursive Self-Improvement (RSI)

The third path, labeled the "Eliezer plan" after AI safety researcher Eliezer Yudkowsky, describes a scenario where the first achiever of recursive self-improvement (RSI) gains a decisive, unassailable lead.

RSI refers to an AI system that can improve its own architecture, training methods, or development pipelines. The upgraded AI then further enhances those capabilities, creating a continuous self-improvement loop. Once this loop reaches sufficient autonomy, R&D speed could accelerate dramatically.

If a single company achieves RSI first, it could rapidly build a technical moat that competitors cannot close, ultimately forming a monopoly. In the extreme case, that company might even gain the ability to interfere with or destroy rivals' GPUs.

Altman explicitly opposes this outcome, which would concentrate advanced AI in the hands of one corporation.

Altman's Recurring Concerns

This internal discussion echoes Altman's long-standing warnings. In September 2026, he publicly identified two major risks from advanced AI: loss of human control over AI systems, and concentration of AI power in a few organizations. He stressed that OpenAI must act on behalf of all humanity, not a single company or interest group, and called for stricter safety protocols and independent evaluations of advanced systems.

This stance aligns partially with Anthropic CEO Dario Amodei's views.

The Competitive Dilemma

Nevertheless, Altman acknowledged internally that OpenAI cannot easily abandon the race for technical leadership against rivals.

Reference: https://www.theinformation.com/articles/altman-describes-three-endgames-ai-including-one-single-firm-melts-everyone-elses-gpus?shared=dead241b54ae7c75