Generative AI Fundamentals Map
Map/Openings

Openings

Every unbuilt box is scored for room to enter: how crowded it is, how much labs and incumbents overlap, how well a small team fits, whether there is a buyer today, and how open the research is. The five inputs are researchers' judgements from October 2026 scouting; the scores combine them with each box's leverage, which is computed from the map. See them on the map, coloured by openings →

Startup room · top 30 of 124

#BoxLaneScore
1Reliability on repeatModels and thresholds100
2Workflow redesignAgents and organisations99
3Teleoperation as a data pipelinePhysical world88
4Code review at scaleSoftware78
5Data rights and licensingData75
6Financial regulators testing AIFinance and capital allocation71
7Audit and attributionTrust and governance69
8Correction propagationAgents and organisations68
9State backstop for the AI buildoutCapital and talent68
10RollbackTrust and governance66
11Persistent memoryAgents and organisations64
12Trace captureData62
13Likeness and performer rightsMedia and creative61
14Clinical validationScience and health58
15Personal knowledge portabilityTrust and governance58
16Agent identity and permissionsTrust and governance57
17AI cyber defenceSecurity and geopolitics57
18Chip tracking and location verificationSecurity and geopolitics57
19AI-native entertainmentMedia and creative57
20Liability and insuranceTrust and governance57
21AI R&D upliftModels and thresholds55
22Firms shrink to a few operatorsAgents and organisations55
23Offshore services displacementInterfaces and society55
24Shared ontology and wikiAgents and organisations53
25Licensed generative mediaMedia and creative52
26Weight-level continual learningAlgorithms and learning52
27Agents that trade for investorsFinance and capital allocation52
28AI in public servicesInterfaces and society52
29Age assurance and wellbeing safeguardsTrust and governance52
30Contamination-resistant evalsMeasurement and understanding52

Research room · top 30 of 124

#BoxLaneScore
1Reliability on repeatModels and thresholds100
2AI R&D upliftModels and thresholds85
3Data rights and licensingData75
4Correction propagationAgents and organisations73
5Persistent memoryAgents and organisations72
6Legitimate governanceTrust and governance69
7Human influence preservedTrust and governance69
8Long-horizon value stabilityTrust and governance67
9Workflow redesignAgents and organisations66
10Robot data and foundation modelsPhysical world66
11Lab automationScience and health66
12Civilisation-scale knowledgeInterfaces and society66
13Verification of AI agreementsSecurity and geopolitics66
14Long-latency civilisationPhysical world66
15Protection against AI herdingFinance and capital allocation66
16Expertise pipelineInterfaces and society66
17Verified slowdownSecurity and geopolitics66
18Divergent-copy reconciliationAgents and organisations66
19Audit and attributionTrust and governance64
20Scalable oversightMeasurement and understanding63
21Explosive economic growthCapital and talent63
22Superhuman AI researcherModels and thresholds62
23Robust generalisationAlgorithms and learning62
24Model weight securitySecurity and geopolitics62
25Code review at scaleSoftware61
26Continual-learning agentsAgents and organisations61
27AI-native medicineScience and health61
28White-collar hiring slowdownInterfaces and society61
29Model welfare and moral statusTrust and governance61
30Choosing the objectiveTrust and governance61