Benchmark Scope 39/195 (86 unrated)
Benchmark Mean 53.8 / 100
Data Completeness 96.5% (Harmonized)
Index Status Preview Release

Superintelligence Timeline Projections

The HSRI timeline explorer shows projected paths to superintelligence development based on different scenarios and probability models. These projections help policymakers prepare for various future timelines.

Select Scenario

Timeline Settings

Probability Timeline

100%75%50%25%0%202520272029203120332035Superintelligence Probability Timeline50%PlateauSteadyTakeoff2026Note: Probabilities represent likelihood of reaching superintelligence capabilities by each year

Plateau Scenario

Gradual improvement with plateaus at each capability level. Most conservative timeline.

50% Probability:2038
95% Confidence:2032-2044

Steady Progress Scenario

Consistent progress without major acceleration. Moderate timeline.

50% Probability:2035
95% Confidence:2029-2041

Takeoff Scenario

Rapid acceleration once certain thresholds are crossed. Most aggressive timeline.

50% Probability:2032
95% Confidence:2027-2037

Key Milestones

2026
Current State

Advanced AI systems in narrow domains. Human-level performance in specific tasks.

2028-2030
Transition Phase

Systems capable of cross-domain reasoning. Improved generalization capabilities.

2031-2035
Critical Threshold

Systems approaching or exceeding human capabilities across most domains. Autonomous research.

2036+
Superintelligence

Systems vastly exceeding human capabilities in most intellectual tasks.

Methodology

The timeline projections are based on a combination of expert surveys, technological trend analysis, and modeling of AI development trajectories. Each scenario represents a different pathway based on varying assumptions about technological progress, investment levels, and breakthrough potential.

Key Factors Influencing Timeline

  • Research Investment: Global spending on AI research and development
  • Talent Availability: Number of qualified AI researchers and engineers
  • Computing Power: Availability of computational resources
  • Algorithmic Progress: Improvements in AI algorithms and architectures
  • International Cooperation: Level of global coordination on AI safety