World models and simulation

Practice in a generated world that transfers to the real one.

Facts

Lane: Physical world
Wave: 5 of 12 (build order, not a date)
Needs: 8 boxes all the way back through hard links
Unlocks: 0 boxes downstream through hard links
Leverage: None
Cluster: Robots and the physical economy

Evidence as of October 2026

DeepMind’s Genie 3 generates interactive worlds that stay consistent for minutes and is already used to train its SIMA agent. DeepMind calls world models "a key stepping stone on the path to AGI". Simulation alone remains "essential but insufficient" for robots, so real action data is still needed.

Around it

Needs · 1

Multimodal perceptioncapability · Built today

Unlocks · 4

Lab automationcapability · Emerging · helps, not required
Robotaxis at scalestage · Built today · helps, not required
Embodied agentsstage · Emerging · helps, not required
AI-native entertainmentstage · Speculative · helps, not required

Loops and off-ramps

Physical data flywheelreinforcing loop
Capex pullbackoff-ramp · cut off
Taiwan chip disruptionoff-ramp · cut off
Power shortfalloff-ramp · cut off
Training data ruled outoff-ramp · slowed

Openings researchers' judgement, October 2026 scouting

Startup room 26/100 · rank 117 of 124 Research room 44/100 · rank 79 of 124

Crowding4 Lab overlap5 Small-team fit2 Buyer today3 Research openness4

Depth: light
Players: World Labs ($1bn); General Intuition ($134m seed; $2bn-$6.2bn reports); DeepMind Genie 3; Runway; Decart
Wedge: Evaluating physical consistency and whether world models improve real-world policies (sim-to-real). research