Company AI fingerprint

Two companies, six capability axes, one chart. Where each polygon bulges tells you what that company is actually building. The asymmetries — not the absolute values — are the story.

Company A:
Company B:
Foundation trainingFoundation training Adobe: 31% (86/280) OpenAI: 27% (62/230)31% / 27%Inference infraInference infra Adobe: 52% (146/280) OpenAI: 48% (111/230)52% / 48%Agent platformAgent platform Adobe: 54% (151/280) OpenAI: 37% (84/230)54% / 37%Eval & safetyEval & safety Adobe: 41% (116/280) OpenAI: 58% (133/230)41% / 58%RAG / retrievalRAG / retrieval Adobe: 30% (83/280) OpenAI: 13% (30/230)30% / 13%Robotics + multimodalRobotics + multimodal Adobe: 32% (89/280) OpenAI: 7% (17/230)32% / 7%Research depthResearch depth Adobe: 10% (28/280) OpenAI: 14% (32/230)10% / 14%Adobe · Foundation training: 31% (86/280)Adobe · Inference infra: 52% (146/280)Adobe · Agent platform: 54% (151/280)Adobe · Eval & safety: 41% (116/280)Adobe · RAG / retrieval: 30% (83/280)Adobe · Robotics + multimodal: 32% (89/280)Adobe · Research depth: 10% (28/280)OpenAI · Foundation training: 27% (62/230)OpenAI · Inference infra: 48% (111/230)OpenAI · Agent platform: 37% (84/230)OpenAI · Eval & safety: 58% (133/230)OpenAI · RAG / retrieval: 13% (30/230)OpenAI · Robotics + multimodal: 7% (17/230)OpenAI · Research depth: 14% (32/230)Adobe· 280 AI roles, 1 regulatedOpenAI· 230 AI roles, 9 regulated
Each axis = share of company’s tagged AI roles touching that capability cluster. Outer ring = 100%, inner ring = 25%. Hover any vertex for the underlying count.

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