Critics Alleged AI Labs Formed Governance Cartel
Industry leaders and advisors claim safety rhetoric is being used to exclude competitors from oversight processes.
Updated on Sept. 24, 2026 in Artificial Intelligence

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Critics, including the Vatican's top AI advisor Father Paolo Benanti and Cohere's Aidan Gomez, have accused major AI labs of functioning as a cartel to restrict competition. The accusations center on claims that companies like OpenAI, Anthropic, and Google use safety-related governance requirements to prevent public oversight.
Why it matters
The dispute highlights a growing conflict over whether AI safety standards are genuine protective measures or tactical barriers intended to protect incumbents. Legislative bodies, including U.S. senators, have begun responding by removing antitrust exemptions for AI firms from major spending packages.
Compliance with proposed AI testing and incident reporting rules is projected to increase overhead costs for smaller laboratories. This financial barrier follows the removal of a national security antitrust exemption for AI firms from the U.S. NDAA manager's package.
The players
Father Paolo Benanti
A professor and the Vatican's lead advisor on AI ethics and technology governance.
Aidan Gomez
The co-founder and CEO of Cohere, an enterprise-focused AI company that develops large language models.
Sam Altman
The CEO of OpenAI, the research and deployment organization behind the GPT series of large language models.
Dario Amodei
The CEO of Anthropic, a research-heavy AI safety company known for its Claude series of models.
Michael Kratsios
A technology policy expert and former U.S. Chief Technology Officer who has advocated against centralized AI governance.
The details
Critics allege that large AI labs leverage concerns about existential superintelligence to gatekeep governance bodies. By mandating rigorous, costly safety standards, these incumbents effectively raise the barrier to entry for smaller firms that cannot match their operational scale. This mechanism mirrors historical precedents where regulatory capture restricted market access, preventing decentralized or open-source competitors from influencing national and international AI policies.
Timeline
September 13, 2026: Aidan Gomez published an essay labeling the industry standards body a cartel.
September 23, 2026: Sam Altman and Dario Amodei briefed the UN Security Council on AI safety.
Week of September 23, 2026: Michael Kratsios rejected new global governance structures.
September 2026: Father Paolo Benanti accused major labs of cartel behavior.
The Tech Race
The situation follows a pattern set by the 1985 European Motor Vehicle Block Exemption, which defined how restricted distribution networks can impact market competition. Industry observers are now tracking whether similar antitrust interventions will reshape the dominance of current AI market leaders.
Compliance costs resulting from new AI reporting rules may force smaller startups to pivot their product roadmaps or consolidate with larger firms. Users should watch for changes in the availability of open-source models as legislative shifts influence which entities can afford to maintain compliance.
The takeaway
The ongoing debate over AI governance suggests that the primary battleground for the next decade will be the intersection of safety legislation and market access. Watch for further developments in the U.S. legislative sessions, as the removal of antitrust exemptions signals a shift toward stricter federal oversight of AI lab conduct.
Further reading
For more on the current landscape of industry standards, see our reporting on Artificial Intelligence.
Source note: This article includes information reported by Startup Fortune.
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Should the government prevent major AI companies from setting their own global safety standards?






