AI is reshaping how companies operate, and most organizations are responding with tools and training. The companies pulling ahead are redesigning the work itself. This session makes the case for a work-first approach: reimagine the workflows around what AI does well and what people do best, evolve jobs to run the reimagined work, and build the skills the new work demands. Work → Jobs → Skills, in that order, with validated work data deciding what gets automated, what gets redesigned and what gets eliminated. For Chief People Officers, this changes the mandate. Trust and the leadership pipeline are not preconditions to protect before AI arrives; they are built through the redesign. Employees trust the future of work when they can see their place in it. Leaders develop by leading the reimagination. And cost discipline and people investment become one plan: reimagined work frees capacity, and capacity funds growth. Key Takeaways: - A practical operating model for redesigning work with AI, where validated work data decides what gets automated, redesigned or eliminated - so decisions about people's work are made on evidence, not assumption - How to develop the next generation of leaders through the reimagination itself, as AI absorbs the coordination work that used to fill junior and middle-management roles - How to run cost optimization and workforce investment as a single plan: freed capacity funds growth, and skills investment follows the work