How Companies Rank Employees by AI Usage

31 Mar 2026 · 1 min

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In this segment, the speaker outlines how companies are fostering AI fluency and evaluating employee AI adoption. He cites Single Grain’s policy of mandating the use of Claude Code across the organization as an example of driving AI fluency. He then details Zapier’s four‑level AI adoption matrix used to assess employee performance: (1) Unacceptable – no AI usage, risking termination; (2) Capable – occasional use of tools like ChatGPT or Claude Cowork; (3) Adaptable – building workflows with platforms such as n8n or Claude Code; and (4) Transformative – creating end‑to‑end AI‑driven workflows. The speaker provides concrete tool examples for each level, illustrating how organizations can measure and encourage progressive AI integration among staff.

Chapters

So those are a couple of examples for you. I would say my company, for example, at Single Grain, we're driving AI fluency throughout the organization. So Claude Code is mandated and I have a few other friends where they have AI adoption matrices. So Zapier, for example, they have 4 levels where they're looking at employees and measuring them on performance. So number 1, unacceptable. So obviously unacceptable is not okay. So you're probably going to be fired. Okay. Number 2 would be capable. So capable is like maybe they're using ChatGPT, maybe they're using Claude Cowork a little bit. Number 3 would be you have someone who is adaptable. So adaptable is someone who is— they are maybe building Maybe they're using N8N, maybe they're using— they're building just workflows in general. Maybe they're using Cloud Code a little bit. Then you have transformative. Transformative, these people are building end-to-end workflows.