Delegation is the AI Metric that Matters

Overview
This blog post argues that tracking which decisions experts choose to delegate to AI provides a more meaningful metric of AI capability than traditional benchmarks. By comparing AI delegation to the historical adoption of e-commerce, the author introduces a framework for measuring AI acceptance and trust.

Key Takeaways

• Delegation decisions reveal real-world AI performance and user trust.
• Adoption, frequency, assortment, and share metrics can be adapted from e-commerce to AI.
• AI Posture spectrum (Avoidance, Supervision, Delegation) helps categorize user interaction levels.
• Monitoring delegation helps product teams prioritize features and understand societal acceptance.

Who Would Benefit

• Product managers building AI-enabled products.
• Engineering leaders assessing AI impact on workflows.
• Technical leaders interested in AI adoption metrics.
• Researchers studying human-AI interaction and trust.

Frameworks and Methodologies

• AI Posture framework: Avoidance, Supervision, Delegation.
• Four delegation metrics: Adoption, Frequency, Assortment, Share.