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SingularityBook

The Singularity Is Near / Nearer

Ray Kurzweil

The canonical public singularity timeline, now close enough to test against reality.

Current verdict

This source has not been fully researched yet.

Target date

2029

Scoring lens

Blended score

45%

Capability score

50%

Deployment score

25%

The blended score is our overall estimate for the full prediction. The capability score asks, 'Could the technology exist by then?' The deployment score asks, 'Will it be widely used and visible in the real world by then?' For this prediction, the technology may arrive before the world is ready to deploy it safely or broadly.

Exponential lens

Capability can compound quickly. Deployment usually moves slower.

Exponential upside case

Kurzweil's strongest case is that multiple exponential curves can reinforce each other: cheaper computation, better AI, biotech, robotics, and human-machine interfaces.

Deployment drag

The largest drag is not only model capability but the translation of exponential information trends into biology, medicine, regulation, infrastructure, and everyday human adoption.

Overview

What this source is arguing

Kurzweil's forecasts connect compute, information technology, biotechnology, and human-machine integration into a long-running exponential thesis.

The big prediction

The core claim to test

Human-level AI arrives by 2029 and the technological singularity follows around 2045.

Evidence for

Why the prediction might be right

This source has not been fully researched yet.

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