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.
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.
Around it
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
- 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