AGI

Technology

Last mentioned: Feb 19, 2026

Timeline

  1. Predicted AGI Arrival

    The window identified by Hassabis for the achievement of Artificial General Intelligence.

  2. Scaling & Safety Phase

    Expected period of intense research into biosecurity guardrails and reasoning capabilities.

  3. India AI Impact Summit

    Demis Hassabis delivers keynote in New Delhi predicting AGI timeline.

Stories mentioning AGI 5

ai-research Neutral

Hassabis Identifies Three Critical Gaps Blocking the Path to AGI

DeepMind CEO Demis Hassabis has identified long-term planning, continuous learning, and consistency as the primary hurdles preventing current AI from achieving human-level intelligence. His remarks suggest that while scaling has driven progress, architectural breakthroughs are still required to reach Artificial General Intelligence (AGI).

2 sources
ai-research Bullish

Google DeepMind CEO Predicts AGI Arrival Within Five to Eight Years

Demis Hassabis, CEO of Google DeepMind, has projected that Artificial General Intelligence (AGI) could be achieved within the next five to eight years. Speaking at the India AI Impact Summit 2026, he emphasized the transformative potential for science while warning of critical biosecurity and cybersecurity risks.

4 sources
market-trends Bullish

DeepMind CEO Predicts AGI Within 8 Years, Signaling 'Golden Era' for Science

Google DeepMind CEO Demis Hassabis has projected that Artificial General Intelligence (AGI) could arrive within five to eight years, marking a significant acceleration in the global AI race. Speaking at the India AI Impact Summit 2026, Hassabis emphasized that while the technology presents a 'golden era' for scientific discovery, it requires urgent safeguards against biosecurity and cybersecurity threats.

4 sources
pharma Bullish

AGI Arrival in 5-8 Years: DeepMind CEO Signals 'Golden Era' for Biotech R&D

Google DeepMind CEO Demis Hassabis predicts Artificial General Intelligence (AGI) could arrive within five to eight years, ushering in a 'golden era of science' for drug discovery. While the timeline suggests a radical acceleration of biological engineering, Hassabis issued urgent warnings regarding biosecurity risks as AI systems gain autonomous capabilities.

4 sources