Field Research Finds AI Adoption Outpacing Formal Change Management Programs
Durham, United States - May 23, 2026 / IMA Worldwide /
Durham, NC -- New field research by imaworldwide.com finds that AI adoption is advancing faster in informal, everyday settings than inside formal organizational change programs. The observations, conducted by Ann Marvin, AIM Master Practitioner and Founder of Peacock Hill Consulting, challenge a common assumption in transformation leadership: that structured change programs are where technology uptake actually begins.
The research captures a pattern that practitioners and executives may find uncomfortable. On the same day Ann sat in formal change management meetings where AI was met with polite avoidance, she encountered a bartender, a small-business owner, a biomedical researcher, and a film industry contact who were each actively implementing AI tools in their work. None of them were waiting for a formal rollout.
Adoption Is No Longer Sorted by Function or Seniority
One of the more significant findings is that the traditional adoption curve no longer sorts neatly by job title or organizational level. The people furthest along in practical AI use were not IT leads or digital transformation officers. They were individuals in roles that formal change programs rarely target first.
This matters for how organizations approach change management. If adoption is already underway in unexpected corners of a workforce and stalled among the people formally charged with leading it, the standard model of cascading change from senior sponsors downward deserves a harder look.
"The bartender doesn't ask what AI is. He tells me what his bar has already done," said Ann Marvin, AIM Master Practitioner and Founder of Peacock Hill Consulting.
That observation is not anecdotal color. It is a diagnostic signal. When someone outside a formal change program is further along in implementation than the people inside one, the gap points to a specific problem in how readiness is being assessed and where energy is being directed.
AIM Readiness Elements Are Not Moving in Lockstep
The research draws on the AIM (Accelerating Implementation Methodology) readiness framework, which identifies five elements of change readiness: Information, Willingness, Ability, Confidence, and Control. What Ann's field observations suggest is that for AI adoption, they are fragmenting.
A small-business owner may have high willingness and growing ability while still lacking confidence. A formal change leader may have full information access and organizational control but show low willingness to engage. When the five elements fall out of sync, a standard change program that assumes readiness is uniform will miss the real picture entirely.
imaworldwide.com points to this misalignment as a core diagnostic challenge. Designing a change program around ability-building, for example, produces limited results when willingness is the actual gap. The research suggests that organizations need to diagnose willingness as the first step, before curriculum is built or communication plans are drafted.
Finding Change Agents in Unexpected Places
A practical implication of the research is that change agents for AI adoption may already exist outside the functions where transformation leadership typically looks. The biomedical researcher and the bartender in Ann's observations were not waiting for permission or instruction. They were solving problems with AI and sharing what they learned in casual conversation.
Organizations that identify and connect these informal adopters to broader change efforts gain something that a formal program cannot manufacture demonstrated, credible evidence that the technology works in real conditions. Peers respond to peers. Someone already using AI to solve a concrete problem carries more influence than a slide deck delivered in a required training session.
The research also raises a structural question for change practitioners. If the people leading formal change meetings are among the least engaged with AI, that gap affects not only their credibility but the quality of the programs they design. Transformation leadership in an AI context may require that those designing change go through it first.
About imaworldwide.com
imaworldwide.com is the home of the Accelerating Implementation Methodology, a structured approach to change management used by organizations navigating complex transformations. AIM provides diagnostics, frameworks, and practitioner tools designed to close the gap between change plans and actual adoption. The methodology has been developed and refined since 1989.
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IMA Worldwide
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Durham, NC 27703
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Ann Marvin
+1-513-689-3381
https://imaworldwide.com
