This article addresses the organizational tension between CEO-driven mandates to reduce middle management headcount through AI productivity gains and the operational reality that managers are already overwhelmed by expanding responsibilities. The author, drawing on Gartner research, argues that CHROs must leverage agentic AI not primarily to eliminate manager roles but to augment them — first by automating low-value administrative tasks ('busywork') and second by investing in emerging AI capabilities that enhance people management effectiveness ('better work'). Key evidence includes a July 2025 Gartner survey of 900 HR leaders finding 80% agree managers are overwhelmed, a May 2025 Gartner survey of 3,000 employees finding 26% of managers would prefer not to hold the role, and a Gartner prediction that 75% of organizations cutting middle management due to AI will rehire at least half those roles by 2028. The article concludes that organizations premature in reducing manager headcount risk significant performance losses, and that CHROs who pilot agentic AI tools now will be better positioned for a hybrid human-machine management model. Key insights: CEOs anticipate AI will widen manager spans of control by nearly 20%, but Gartner predicts 75% of organizations that cut middle management headcount due to AI will rehire at least half those roles by 2028. 80% of HR leaders surveyed agree that managers are already overwhelmed by expanding responsibilities, making premature delayering a performance risk rather than an efficiency gain. 26% of managers, if given the choice, would prefer not to be managers — citing low-value administrative burden, increasing responsibilities, and inadequate support as primary drivers. Practical takeaways: Organizations can use agentic AI to automate routine manager tasks — such as time off approval, onboarding, calendar management, and shift management — to free capacity for higher-value people leadership. CHROs who pilot emerging agentic capabilities now, including AI coaching agents and dynamic performance management tools, are positioning their organizations for a hybrid human-machine management model before it becomes operationally necessary.