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New Research Report

Unlocking High Quality AI Adoption in the Workplace

Findings from a survey of 1,226 UK and US employees. February 2026.

This report introduces Adoption Quality — a multi-factor concept that captures the psychological drivers and barriers shaping AI adoption at work.

Using a proprietary diagnostic instrument (the AQS™), we surveyed employees across sectors, seniority levels, and organisation sizes to understand not just whether people are using AI, but whether the conditions exist for them to use it well.

The report covers:

  • The Adoption Quality framework and its four components
  • Headline AQS™ findings across the sample
  • How AQS™ correlates with usage frequency, task complexity, and avoidance behaviour
  • The Relevance-Readiness matrix: four workforce segments
  • Sector, seniority, and experience breakdowns
  • From insight to strategy: translating AQS™ into targeted behaviour change

Author: Guy Champniss, PhD

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