Generative AI Fundamentals Map
Map/Models and thresholds/Wave 8

AI R&D uplift

How much AI tools speed up the people doing AI research today.

capabilityEmerging Open on the map →

Facts

Lane
Models and thresholds
Wave
8 of 12 (build order, not a date)
Needs
16 boxes all the way back through hard links
Unlocks
8 boxes downstream through hard links
Leverage
1.0 points · stands in the way of 6 of 53 stages · rank 10 of 57
Cluster
Oversight and alignment

Evidence as of October 2026

AI Futures puts 2026 uplift between 1.04 and 1.2x (METR’s estimate) and about 2x (Daniel Kokotajlo’s), well short of the 25x a superhuman AI researcher implies.

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

Watch
Speed-up of AI research from AI tools: 1.04 to 1.2x (METR) to about 2x (Kokotajlo) in 2026.

Around it

Needs · 3
Unlocks · 2

Loops and off-ramps

Openings researchers' judgement, October 2026 scouting

Startup room 55/100 · rank 21 of 124 Research room 85/100 · rank 2 of 124
Crowding2 Lab overlap4 Small-team fit3 Buyer today3 Research openness5
Depth
deep
Players
METR; AI Futures Project; Epoch AI; P-Zero Research; Mercor ($10bn); Weco AI ($8m seed)
Wedge
A neutral third party that labs trust to measure internal, research-level and organisation-level uplift, closing the ~40pp self-report vs RCT gap. research
  1. 01METR: AI usage survey 2026
  2. 02AI Futures Q2.5 2026 update
  3. 03IEEE Spectrum: recursive self-improvement