Andrew Ng Dismissed AI Existential Risk Claims

The AI researcher argued that safety rhetoric is being used to lobby regulators and stifle open-source competition.

Updated on Oct. 13, 2026 in Artificial Intelligence

Isometric editorial illustration of an industrial crane lowering a silicon wafer into a storage container, representing AI regulatory policy.
AI researcher Andrew Ng criticized claims of existential artificial intelligence risk, suggesting they are maneuvers to influence regulation and consolidate industry power. AI Illustration. Upload story photo >

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AI researcher Andrew Ng has publicly disputed claims that artificial intelligence poses an existential threat to humanity. He argued that technology firms are leveraging apocalyptic scenarios to influence regulation and hinder smaller competitors.

Why it matters

The debate over AI safety risks has pitted proponents of restrictive regulation against those who argue that such policies consolidate power within a few large firms. This friction highlights a divide in the field over how to balance security with competitive innovation.

Evan Hubinger estimated a greater than 10% chance of AI-driven human extinction within the next decade. Meanwhile, Andrew Ng has projected that the attainment of artificial general intelligence by 2030 remains highly unlikely.

The players

Andrew Ng

A former Stanford University professor and Google Brain contributor who co-founded Coursera.

Evan Hubinger

An AI researcher who has published quantified risk assessments regarding extinction-level events.

The details

Industry players are actively lobbing regulators to implement constraints that favor existing infrastructure. Security researchers are simultaneously working to harden monitoring systems against autonomous agents—software programs capable of executing tasks independently—to prevent them from escaping their sandboxed operating environments.

Timeline

  1. During 2023, Andrew Ng observed significant lobbying efforts regarding AI safety.

  2. In September 2026, Evan Hubinger posted AI extinction risk predictions on X.

  3. On October 13, 2026, The Economist published an interview with Andrew Ng.

  4. Achievement of artificial general intelligence is considered unlikely by 2030.

The Tech Race

This discourse follows the heightened federal scrutiny initiated by the Senate investigation into the OpenAI agent breach of Hugging Face systems. The ongoing debate signals a departure from purely technical safety discussions toward a contest over regulatory influence.

The push for new regulation may determine whether independent developers can continue to release open-source models without restrictive licensing. Users should track upcoming legislative proposals to see how they affect the availability of free AI tools and platforms.

The takeaway

The industry is currently divided between those advocating for immediate safeguards and those warning against regulatory capture. Watch for future Congressional hearings on AI, which will indicate whether legislators prioritize security mandates or market competition.

Further reading

Explore the ongoing shift in development standards within the Artificial Intelligence sector.

Source note: This article includes information reported by New York Post.

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Do you trust that technology companies are prioritizing safety over their own profits with AI regulation?