Generative AI Fundamentals Map
Map/Models and thresholds/Wave 9

Superhuman AI researcher

AI that does AI research better than the best human researchers.

stageSpeculative Open on the map →

Facts

Lane
Models and thresholds
Wave
9 of 12 (build order, not a date)
Needs
20 boxes all the way back through hard links
Unlocks
6 boxes downstream through hard links
Leverage
0.8 points · stands in the way of 5 of 53 stages · rank 13 of 57
Cluster
Oversight and alignment
When
Researcher estimate: 2029 to 2034

Evidence as of October 2026

AI 2027 puts a superhuman coder, then a superhuman AI researcher, ahead of every other milestone, because each speeds up the rest. Its takeoff forecast equates the superhuman researcher with about a 25x speed-up in AI research; AI Futures measured 1.04 to 2x in 2026.

  1. 01AI 2027 takeoff forecast
  2. 02AI Futures: Q2.5 2026 timelines update (Aug 2026)

Watch
Speed-up of AI research. AI 2027 equates a superhuman researcher with about 25x.

Timeline note
My estimate, a year or more after an automated coder. AI 2027 put the two months apart; its authors have since pushed their timelines back.

  1. 01AI 2027 takeoff forecast
  2. 02remio: AI 2027 timeline revisions

Around it

Needs · 5
Unlocks · 5

Loops and off-ramps

Openings researchers' judgement, October 2026 scouting

Startup room 34/100 · rank 93 of 124 Research room 62/100 · rank 22 of 124
Crowding3 Lab overlap5 Small-team fit2 Buyer today2 Research openness4
Depth
deep
Players
Recursive ($650m, $4.65bn; $410m AWS); Ricursive; Sakana AI and UBC; DeepMind AlphaEvolve; NeoCognition ($40m)
Wedge
Neutral evaluation of AI research ability (research taste, replication) and oversight of automated-research loops; narrow AI-improves-AI loops with automatic scoring. research
  1. 01Pulse2: Recursive $650m
  2. 02IEEE Spectrum: recursive self-improvement
  3. 03AI Futures Q2.5 2026 update