Rolling record / ARQ 63 Concerning · ▲ +2 7-day 3595 events in window / as of 02 Oct 2026
ARQAI Risk Quotient
misc 87.4 Danger

46% of Teams Have Shipped AI Code That Later Failed in Production, Finds Survey

This survey reveals a high rate of AI code failures in production, underscoring risks in AI deployment and the need for better quality assurance and governance.

This survey reveals a high rate of AI code failures in production, underscoring risks in AI deployment and the need for better quality assurance and governance.

Auto-scored: Setback or minor misuse in AI deployment with no mitigation presented.