Statistics

The index in numbers

Auto-computed from the live corpus, as of June 16, 2026. Every number carries a copy-ready citation; each row has a stable anchor. Full dataset on the open data page.

• The AI Failure Index documents 532 AI failures in production, citing 1379 sources across 11 industries.

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• Hallucination accounts for 35 percent of indexed production failures (188 of 532).

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• Failure-mode share: Hallucination 35%, Policy Violation 23%, Agentic Action Error 12%, Brand & Safety Incident 12%, Prompt Injection 7%, Data Leakage 5%, Tool Misuse 4%, Identity & Access Drift 2%.

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• Severity distribution: Catastrophic 33, High 277, Medium 196, Low 26.

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• Most-affected industries: Public Sector (120), Cross-industry (114), SaaS (111), Legal Services (66), Retail & E-commerce (35).

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• 75 percent of entries are generative-AI failures (400 of 532); the rest are predictive systems: vision, scoring, recommenders, and autonomous systems.

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• Entries indexed per month: 2026-06: 507, 2026-05: 25.

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Method notes: counts cover live entries only (merged duplicates excluded); severity follows the rubric on the methodology page; hallucination and the other seven modes are defined in the versioned taxonomy.