The Biggest Questions About AI
The map · 1 Trajectory · 1.2 General intelligence and missing capabilities · 1.2.6

Timelines

When, if ever, might broadly human-level systems arrive?

Expert forecasts span decades and have shortened with each survey wave. Most trajectory disagreements are actually about timing, not possibility — yet 'that cannot work' and 'that will not work soon' are routinely argued as if they were the same claim.

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What changed
October 2025–August 2026 · swept August 3, 2026 · editorial review pending
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Forecasters oscillated and then converged: everyone tracked who updated between January and April 2026 shortened their timelines, and the AI 2027 authors pulled their medians about 1.5 years sooner — while METR warns against extrapolating its time-horizon curve to AGI dates, and Karpathy holds the decade-out position. Amodei put his numbers on the record in February: 90% on a 'country of geniuses in a data center' within ten years.

Recent thinking
8 featured from 10 tracked · October 2025–August 2026 · all 10 chronologically →
Kokotajlo, Lifland & Halstead · AI Futures Project · Apr 2026 post
Q1 2026 Timelines Update
Our medians for Top-Expert-Dominating AI (TED-AI) similarly shifted about 1.5 years sooner.

The AI 2027 authors re-shorten their forecasts, reversing their earlier lengthening, citing METR-measured coding progress and the winter 2025–26 model releases.

Dan Schwarz · FutureSearch · Apr 2026 report
AGI Timeline Predictions: How Top Forecasters Updated, 2023 to 2026
every single person who updated their timelines from January 2026 to April 2026 has moved their timeline to say AGI is coming sooner

Three years of tracked forecasts: a lengthen-then-shorten oscillation, with uniform shortening among early-2026 updaters.

Thomas Kwa · METR · Jan 2026 post
Clarifying limitations of time horizon

METR itself cautions against extrapolating its time-horizon metric to AGI dates: task-distribution gaps, reliability thresholds, and growth-rate sensitivity spanning 2028 to 2050.

Andrej Karpathy, with Dwarkesh Patel · Dwarkesh Podcast · Oct 2025 interview
Andrej Karpathy — AGI is still a decade away

A prominent practitioner stakes the decade-out position, grounded in unsolved continual learning, reliability, and agency problems.

Scott Alexander · Astral Codex Ten · 11 Jun 2026 essay
My AI Opinions
I think there's a 25% chance of AGI by 2027, a 50% chance by 2034, and a 75% chance by 2045.

A widely read generalist's consolidated credences on arrival, takeoff, and the diffusion gap.

Ajeya Cotra & Timothy B. Lee · Asterisk Magazine · Apr 2026 interview
How Long Until AI Doesn't Need Humans?

A structured disagreement: Cotra puts fully self-sustaining AI more likely than not within 10 years; Lee under 10% within 20 — hinging on robotics and tacit knowledge.

Denain & Ho · Epoch AI · 7 Jul 2026 essay
The missing half of AI futurism debates
we've thought hard about how good the AIs might be, but not about how hard it'll be to develop specific technologies

Timeline forecasts neglect the engineering feasibility of specific post-AGI technologies.

Dario Amodei, with Dwarkesh Patel · Dwarkesh Podcast · 13 Feb 2026 podcast
Dario Amodei — "We are near the end of the exponential"
On the basic hypothesis of, as you put it, within ten years we'll get to what I call a 'country of geniuses in a data center', I'm at 90% on that.

The clearest on-record lab-leadership timeline of 2026, with explicit probabilities: 90% within ten years, central estimate 1–3 years for expert-level systems. Question 1.1.1 carries Zvi's commentary on the same episode.

Additional relevant discussion (2)
Before he wrote AI 2027, he predicted the world in 2026. How did he do? — Clara Collier & Daniel Kokotajlo · Asterisk Magazine · 14 Apr 2026
Will AI Progress Accelerate or Slow Down? Projecting METR Time Horizons — Alvin Ånestrand · LessWrong · 16 Mar 2026
Foundational reading (3)Thousands of AI Authors on the Future of AIGrace et al. · 2024Literature Review of Transformative AI TimelinesEpoch AI · 2023AI Timelines: Where the Arguments, and the “Experts,” StandHolden Karnofsky, Cold Takes · 2021
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