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Forget traditional change management – successful AI adoption demands a nuanced, segmented approach. Instead of a one-size-fits-all strategy, companies should identify and cater to distinct user groups: super early adopters, learner translators, and those more reluctant to embrace the technology. Key strategies include deploying targeted, ruthless pilot programs designed to showcase AI’s value, providing customized training tailored to each segment’s needs, and ensuring visible and unwavering support from leadership to generate a ‘fear of missing out’ (FOMO). Once initial traction is gained, automation can be strategically leveraged to facilitate broader, ‘last-mile’ adoption. This approach moves beyond generic change principles and focuses on the specific needs and concerns of diverse user groups when integrating AI into the workplace. The original discussion can be found on Reddit: https://old.reddit.com/r/artificial/comments/1pexa5f/change_management_doesnt_work_on_ai_adoption/