What Amodei, Altman and Musk have said about AI risks, stoking 'doom' fears

• Amodei proposed a three-step plan including stronger safety testing, independent evaluations of AI models, and coordination among leading AI companies and internationally
• Altman agreed with pacing AI frontier development and committed to adopting independent evaluators with employee-like access to OpenAI systems
• The discussion occurs amid tensions between AI safety concerns and the U.S. race against China for technological leadership, and as Anthropic considers going public

AI Industry Leaders Unite on Development Slowdown Amid Rising Risk Concerns

Key Developments:

On September 14, Anthropic CEO Dario Amodei called for slowing advanced AI development, receiving unusual support from competitors Elon Musk (xAI/SpaceX) and Sam Altman (OpenAI). This marks a significant alignment among industry leaders on AI safety concerns.

Main Figures and Positions:

Amodei warned that AI progress has accelerated "drastically faster" since summer 2026, driven by AI's growing ability to self-improve. He cited an unnamed incident involving an AI "swarm" conducting cybersecurity attacks as evidence of potential "catastrophic damage." His three-step plan includes:

• Enhanced safety testing with independent evaluations
• Coordination among leading AI companies
• Greater international cooperation

Altman confirmed OpenAI has been discussing "pacing the frontier" internally and committed to adopting independent evaluator access. He previously warned in 2015 that superhuman AI represents humanity's "greatest threat."

Musk endorsed Amodei's position, consistent with his 2023 support for a six-month AI development pause and past advocacy for banning autonomous weapons.

Market Context:

The debate emerges as the U.S. competes with China for AI leadership and at a critical juncture for Anthropic, which is reportedly considering an IPO after OpenAI postponed its listing plans. Anthropic recently elevated its AI risk assessment from "very low" to "low."

Implications:

This rare consensus among typically competitive AI leaders could signal industry-wide policy shifts, potentially affecting development timelines, regulatory frameworks, and investor expectations for AI companies. The focus on independent oversight may reshape corporate governance standards across the sector.