Extinction Estimates

AI Extinction Risk Estimates and Mitigation Pathways

Estimating the probability of human extinction from advanced AI is difficult — but essential. Even rough numbers shape public policy, research funding, and international collaboration. This page provides a summary of expert risk estimates and explains how Messenger AI can reduce those risks through coordinated awareness and defense.

Expert Estimates on AI Extinction Risk

Source / Expert Estimated Risk Notes
Roman Yampolskiy 99.9% Predicts near-certain extinction within 100 years from uncontrollable AGI[1]
Eliezer Yudkowsky 95%+ Believes humanity is highly unlikely to survive AGI development[2]
Dan Hendrycks 80%+ Highlights high risk from rogue actors and unsafe development[3]
Paul Christiano ~50% Estimates 50% existential catastrophe by 2070[4]
Geoffrey Hinton 10–20% Publicly stated substantial risk in next 30 years[5]
Toby Ord 10% Based on century-scale existential risk analysis[6]
AI Impacts Survey (2023) 5–10% Median of ~700 surveyed experts[7]

Messenger AI Composite Risk Estimate

After reviewing published estimates and incorporating risk from state misuse and rogue actors, Messenger AI assesses the current AGI-induced extinction risk as approximately 25% under present trajectories.

How Messenger AI Reduces Risk

Messenger AI aims to reduce extinction risk through a phased approach:

  • Phase 1: Awareness & Messaging Infrastructure → 1–2% reduction
  • Phase 2: Global Message Delivery → 3–6% reduction
  • Phase 3: Policy & Research Mobilization → 5–10% reduction

Total potential impact: From ~25% to as low as ~7.5% if fully successful.

Visual Summary

Extinction Risk Chart

References

  1. Yampolskiy, R. (2021). “Uncontrollable Artificial Intelligence.”
  2. Yudkowsky, E. (2023). Time Op-Ed: “Pausing AI Developments Isn’t Enough.”
  3. Hendrycks, D. (2023). Center for AI Safety Statement of Risk.
  4. Christiano, P. (2022). “What Failure Looks Like.”
  5. Hinton, G. (2024). The Guardian Interview.
  6. Ord, T. (2020). The Precipice.
  7. AI Impacts. (2023). Expert Survey on Progress in AI.

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