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AI For Managers: How to Lead, Hire, Delegate and Perform in the Age of Artificial Intelligence

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AI For Managers: How to Lead, Hire, Delegate and Perform in the Age of Artificial Intelligence

著者： Roy Moses
ナレーター： Marquita Hillman
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AI is changing how work gets done. But for managers, the real challenge isn't simply learning another tool—it's learning where AI creates leverage, where it creates risk, and where human judgment must remain firmly in control.AI for Managers is a practical guide to managing people, performance, productivity, and organizational change when AI becomes part of everyday work.Inside, you'll learn how to:Identify which management tasks are good candidates for AI assistance—and which should remain firmly human.Automate routine administrative work without sacrificing judgment, accountability, or team development.Manage employees who use AI without creating a culture of suspicion or performative AI adoption.Measure productivity when AI can dramatically increase output without necessarily increasing quality or impact.Use AI in hiring while protecting human judgment and reducing the risk of inherited bias.Adapt performance management when employees' output is increasingly shaped by AI.Build an AI policy that employees can actually understand and follow.Prevent AI hallucinations, confidentiality breaches, and other costly mistakes.Rethink delegation when managers must consider not only whether an employee can perform a task, but whether they can use AI appropriately.Build teams and organizations around judgment, verification, and continuous learning rather than simply task execution.The book also provides practical checklists, exercises, and frameworks that managers can use immediately—from conducting a task audit to evaluating AI-assisted productivity and creating safeguards around sensitive information.Most importantly, AI for Managers does not treat AI adoption as the goal.The goal is better management.That means reclaiming time for coaching and strategic thinking, improving the quality of decisions, protecting employees and customers from avoidable mistakes, and building teams that know when to use AI—and when not to.©2026 Roy Moses (P)2026 Roy Moses マネジメント マネジメント・リーダーシップ リーダーシップ 予測・戦略的計画 女性のキャリア
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