- Dario Amodei, CEO of Anthropic, has just published an article titled “Policy on the AI Exponential,” calling for the establishment of an AI regulatory mechanism similar to the US Federal Aviation Administration (FAA).
- He argues that frontier AI models must undergo independent testing and evaluation before being released to the market.
- Anthropic proposes that governments should have the authority to delay, block, or recall AI models if they pose significant risks related to cybersecurity, biology, or autonomous actions out of control.
- The company also announced a new Advanced AI Governance Framework and a new AI Economic Policy Framework.
- Models trained at a scale exceeding 1025 FLOPs or belonging to companies with AI revenues over 500 million USD could be subject to mandatory verification requirements.
- Anthropic believes that merely requiring transparency as in the past is no longer sufficient to control risks.
- A key driver is the rapid escalation of AI-generated cybersecurity threats.
- The company stated that Claude Mythos has demonstrated the ability to detect critical security vulnerabilities across multiple operating systems.
- Anthropic proposes treating the protection of model weights as a strategic asset that requires rigorous security.
- The company also warns of the risk of unauthorized duplicate models emerging through “model distillation” techniques.
- Economically, Anthropic acknowledges that AI could become a labor-displacing technology on a large scale, rather than just a tool for productivity gains.
- The company is committing 350 million USD to research and support policies addressing the labor impact of AI.
- This includes 200 million USD for the Economic Futures research fund and 150 million USD for a national fellowship program.
- Anthropic is examining scenarios where unemployment rises to 5%, 10%, or higher due to AI.
- Mentioned solutions include wage insurance, Universal Basic Income (UBI), and sovereign wealth funds.
- The company recommends that businesses focus on retraining and redeploying personnel instead of simply cutting staff to fund AI projects.
- 📌 Conclusion: Anthropic’s proposal marks a major shift in the AI debate. Instead of focusing solely on innovation and growth, one of the world’s leading AI companies is publicly calling for an aviation-style regulatory mechanism for the most powerful AI models. If these proposals are adopted, businesses will have to prepare for an AI environment with more verification, security, and social responsibility requirements, while building long-term HR strategies to adapt to the disruptions caused by AI.
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