What is the 30% Rule in AI? The New Benchmark Everyone’s Talking About
The 30% Rule in AI refers to a performance and risk threshold suggesting that if an AI system can automate or assist with at least 30% of a task, it is considered operationally valuable — but still requires human oversight for the remaining complexity. This benchmark is gaining traction as organizations seek a practical balance between automation and reliability. By evaluating whether AI can deliver a consistent 30% improvement in efficiency, accuracy, or workload reduction, businesses can make more informed decisions about adoption, integration, and resource allocation while maintaining responsible oversight.
Dec 11, 2025
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11 min read
