The Macro and Micro of Helping Humans Through Rapid AI Advancement

AI transformation is as much a human challenge as a technological one—and enterprise technology leaders are charged with navigating both simultaneously. In this paper, Christine Hudson, Melissa Reeve, and Brian Scott examine the forces reshaping work at two levels: the macro dynamics of labor markets and business models being restructured by AI, and the micro realities of individual employees whose roles, skills, and professional identities are being renegotiated in real time. Holding both levels of view at once, they argue, is one of the defining demands of enterprise leadership in this moment. At the macro level, the authors explore how AI complements and substitutes human labor, what Jevons Paradox means for organizational workloads, and how leaders can prepare their organizations for jobs that don’t yet exist. At the micro level, they offer practical guidance for supporting employees through the anxiety and disruption that rapid AI advancement can produce—without losing sight of the strategic imperatives driving the transformation. This paper is part of the Spring 2026 Enterprise Technology Leadership Journal, a collection of guidance papers from IT Revolution authors and past presenters at the Enterprise Technology Leadership Summit.