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% (86/279) OpenAI: 27% (61/228)31% / 27%Inference infraInference infra Adobe: 52% (145/279) OpenAI: 48% (109/228)52% / 48%Agent platformAgent platform Adobe: 54% (150/279) OpenAI: 36% (83/228)54% / 36%Eval & safetyEval & safety Adobe: 42% (116/279) OpenAI: 58% (132/228)42% / 58%RAG / retrievalRAG / retrieval Adobe: 30% (83/279) OpenAI: 13% (30/228)30% / 13%Robotics + multimodalRobotics + multimodal Adobe: 32% (88/279) OpenAI: 7% (17/228)32% / 7%Research depthResearch depth Adobe: 10% (28/279) OpenAI: 14% (32/228)10% / 14%Adobe · Foundation training: 31% (86/279)Adobe · Inference infra: 52% (145/279)Adobe · Agent platform: 54% (150/279)Adobe · Eval & safety: 42% (116/279)Adobe · RAG / retrieval: 30% (83/279)Adobe · Robotics + multimodal: 32% (88/279)Adobe · Research depth: 10% (28/279)OpenAI · Foundation training: 27% (61/228)OpenAI · Inference infra: 48% (109/228)OpenAI · Agent platform: 36% (83/228)OpenAI · Eval & safety: 58% (132/228)OpenAI · RAG / retrieval: 13% (30/228)OpenAI · Robotics + multimodal: 7% (17/228)OpenAI · Research depth: 14% (32/228)Adobe· 279 AI roles, 1 regulatedOpenAI· 228 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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