In this episode of Beyond the Feature, I break down one of the most frustrating patterns in organizations right now: AI tools that work, but that people aren't actually using. The answer is in the science of how people change. This episode covers why the brain resists change (it's wired for efficiency, not novelty), how status quo bias and loss aversion explain most AI resistance, the emotional journey people go through during change and why the 'dip' is where most adoptions fail, the ADKAR framework as a practical diagnostic tool for when adoption isn't happening, why AI is uniquely harder to adopt than other software, and five specific things that actually move the needle, from starting with the person to making the wins visible. The Copilot Workday is referenced as a practical resource for building a real daily AI practice.

Key stats: 70% of AI implementation challenges are people problems, not technology problems (BCG, 2024). Only 14% of senior executives feel they've successfully aligned their workforce with AI (Kyndryl survey). 70% of knowledge workers already use generative AI outside company policy (Microsoft Work Trend Index, 2025). 83% of generative AI pilots fail to reach full production (MIT Sloan and BCG, 2025).

Full Episode at:

Book referenced: The Copilot Workday by Dr. Patrick Jones — available on Amazon through Olympus Academy Press.

Resources mentioned:

The Copilot Workday — available on Amazon.com

Full book catalog — olympusacademypress.com

AI strategy and cloud consulting — AuditSolv.com

Online courses — learn.OlympusAcademy.net

Podcast and app — beyondthefeature.com

About the host — drpjj21.com

#AIadoption #changemanagement #behavioralscience #organizationalchange #leadership #beyondthefeature #auditsolv #amazon