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Applied AI·August 18, 2026·1 min read

85% of companies burned by an AI mistake are racing to cut the humans who might catch the next one

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Enterprises getting hurt by AI failures and then removing humans from deployment decisions are confusing speed with control. If your board is pushing “more automation,” insist on owning the eval stack and escalation paths before you cut human review, or you’re compounding model risk.