The Evolution of Artificial Intelligence

From Narrow AI to Superintelligence

The Three Stages of AI

Artificial Narrow Intelligence (ANI)

Status: Present Reality

Capability: Performs a single, specific task with high precision.

Examples: Voice assistants, image recognition.

Risks: Bias, privacy, job displacement.

Artificial General Intelligence (AGI)

Status: Imminent Breakthrough (2025-2029)

Capability: Matches human cognitive flexibility across diverse tasks.

Learning: Learns adaptively and transfers knowledge.

Risks: Economic disruption, power shifts, alignment problem.

Artificial Superintelligence (ASI)

Status: Theoretical Horizon

Capability: Vastly surpasses human intelligence in all domains.

Learning: Improves its own intelligence recursively.

Risks: Existential, loss of human control, value misalignment.

An Accelerating Timeline

DECADES > YEARS
Exponential Compute Algorithmic Breakthroughs AI-assisted Research Massive Investment

Escalating Risks vs. Potential Benefits

Risks 🔺

  • Operational
  • Transformative
  • Existential

Benefits 🔼

  • Scientific Revolution
  • Economic Transformation
  • Global Problem-Solving

Preparing for the Transition

🌐

Global Governance

Binding international treaties and shared, verifiable safety standards.

👪

Societal Adaptation

Foster public education, strengthen democratic institutions, and build safety nets.

🧠

Individual Readiness

Stay informed, develop complementary skills, and engage in democratic processes.