This article, authored by Josh Bersin, addresses the evolving role of managers in an era of widespread AI adoption. Bersin argues that traditional management models — defined by direction-setting, alignment, and performance oversight — are insufficient in the current technological environment, and that a new archetype, the 'Supermanager,' is emerging. The Supermanager is characterized by the dual ability to execute on results while simultaneously enabling bottom-up AI innovation within their teams. Key evidence is drawn from anecdotal case examples: a Thai distribution center developing a photo-based inventory app, an IATA analyst building a workforce planning model using Galileo, and an investment advisor creating a portfolio management tool. Bersin introduces the 'three E's of AI transformation' — enable, encourage, and empower — as the operating principle for Supermanagers. The article concludes that organizations face a growing gap between technological capability and business productivity, and that Supermanagers represent the mechanism to close this gap. The piece also promotes Bersin's proprietary research report and the Galileo AI platform throughout. Key insights: Bersin proposes that AI transformation is characterized by both top-down and bottom-up innovation, with frontline employees frequently originating the most impactful use cases. The 'Supermanager' concept is defined by the simultaneous capacity for operational execution and team-level reinvention — a departure from traditional managerial archetypes focused solely on performance oversight. A productivity gap is identified between the pace of AI capability development and actual business productivity gains, with Supermanagers positioned as the organizational mechanism to close this gap. Practical takeaways: Organizations are observed to audit their existing leadership models to assess the balance between execution-orientation and innovation-orientation, particularly in the context of AI adoption. HR leaders are positioned in the article as responsible for modeling AI fluency and revisiting reward structures to incentivize the behaviors associated with the Supermanager archetype.