Arvind Narayanan

Computer scientist; co-author of 'AI Snake Oil' and 'AI as Normal Technology' (with Sayash Kapoor)

Princeton University

Skeptics

Narayanan argues AI should be treated as a 'normal technology' whose effects unfold over decades through slow institutional change, not as a looming superintelligence. He thinks doom probabilities are unusable for policy and that the best protection is resilience and preventing a few companies from concentrating power.

Declines to give a number

Classifies catastrophic misalignment as a 'speculative risk' and explicitly rejects using existential-risk probabilities for policy as 'unviable'; argues 'superintelligence' conflates intelligence with power (AI as Normal Technology, April 15, 2025).
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On timing

AI is a 'normal technology' like electricity: invention can be fast but diffusion is 'limited by human, organizational, and institutional change', so economic impacts materialise over decades, not years (April 2025).

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What they call for

  • Resilience over nonproliferation
  • Prevent concentration of power
  • Sector specific safety regulation
  • Transparency and monitoring
  • Open source AI
  • Defences against misuse downstream rather than model restrictions

In their own words

  • Policymakers should "increase resilience by preventing the concentration of power" through distributed access, rather than concentrating control of AI.

    15 April 2025

    Source

  • Real concern is systemic risks from normal deployment—bias, job displacement, inequality, authoritarianism—rather than catastrophic scenarios.

    15 April 2025

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Last verified 1 September 2026

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