Risk category index
Risk Categories
Definitions for the AI risk themes used to organize source-backed SEC filing signals.
Experimental public index tracking a seed set of public companies. Coverage is expanding weekly as more SEC filing language is reviewed.
AI competitionRisks tied to AI changing competitive dynamics, product cycles, platform strategy, or market share.AI product riskRisks from AI product behavior, accuracy, safety, user trust, and regulatory exposure.Cloud executionRisks from scaling AI workloads across cloud infrastructure while protecting reliability and margins.Competitive displacementRisks from rapid AI-led shifts in product relevance, manufacturing plans, and capital allocation.Content and safetyRisks involving AI-generated content, moderation, misinformation, integrity, and user safety.Customer data and privacyRisks tied to AI systems using customer data, privacy obligations, and trust controls.Data securityRisks involving AI use with sensitive data, access controls, security, and customer governance.Enterprise adoption riskRisks tied to enterprise willingness to adopt AI features and rely on automated workflows.Export controlsRisks from geopolitical restrictions, export rules, controlled chips, and market access limits.Government and defense useRisks involving AI deployments in public sector, defense, regulated, or sensitive environments.IP and content rightsRisks involving training data, copyright, content authenticity, intellectual property, and data rights.Infrastructure demandRisks from AI-driven compute demand, capacity planning, capital spending, and execution.Merchant trustRisks tied to AI tools affecting merchants, automation quality, commerce outcomes, and platform trust.Model governanceRisks involving explainability, compliance, enterprise controls, and responsible AI governance.Supply and demand volatilityRisks from AI accelerator demand swings, inventory pressure, supply constraints, and pricing pressure.