Artificial intelligence is reshaping white-collar work at an unprecedented pace, yet many human resources functions remain on the sidelines of this transformation. Drawing on insights from workforce transformation leaders and emerging organizational research, this article examines the urgent imperative for HR to design AI-integrated work systems before technology architectures determine human roles by default. The parallels to early 20th-century scientific management reveal risks of task fragmentation that prioritizes algorithmic efficiency over professional craft and worker agency. Evidence from large-scale skills transformation initiatives demonstrates that strategic HR leadership can enable talent redeployment at market speed while preserving meaningful work. With entry-level pathways narrowing and traditional career progression disrupted, HR professionals face a pivotal choice: architect human-centered AI work systems now, or inherit technology-determined structures later. This article synthesizes academic research and practitioner experience to outline evidence-based responses across transparent governance, skills infrastructure, and agency-preserving work design that position HR as strategic architects of the AI-augmented workplace.

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