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    What To Do When Machines Do Everything by Malcolm Frank Summary

    What To Do When Machines Do Everything
    Malcolm Frank
    3.57 (490 Reviews)
    BusinessAITechnology
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    Overview of What To Do When Machines Do Everything

    As AI reshapes every industry, "What To Do When Machines Do Everything" offers the contrarian AHEAD model for thriving amid automation. The Financial Times called it "refreshingly thought-provoking" for challenging Oxford's dire prediction that 47% of jobs will disappear by 2025.

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    名人书单
    Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
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    ManagementAmerican HistoryWarTradingStoicismAnxietySex
    年度最佳书籍
    2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
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    核心要点

    1

    The Revolution Hiding in Your Pocket

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    Your smartphone predicts your next word before you type it. Netflix queues up exactly what you want to watch. Your car warns you about traffic jams you haven't encountered yet. These aren't isolated conveniences-they're early tremors of what Malcolm Frank, Paul Roehrig, and Ben Pring call the Fourth Industrial Revolution. When their book hit shelves in 2017, even skeptics in corner offices sat up and listened. Jeff Immelt at GE, Satya Nadella at Microsoft-leaders across industries began rethinking their entire playbook. What seemed bold prediction then now feels like yesterday's news, as AI has exploded from boardroom buzzword to everyday reality. But here's the twist: we're not heading toward some distant sci-fi future. The transformation is happening in the next five years, and the question isn't whether machines will do everything-it's what you'll do when they do.

    2

    Why Everything Feels Stuck Right Before It Explodes

    3

    The Job Transformation and Anatomy of the New Machine

    4

    Data as the New Oil and the Hybrid Future

    5

    Automate and Create Halos: The AHEAD Model Begins

    6

    Enhance, Abundance, and Discovery: Completing the Transformation

    7

    The Future Belongs to Builders, Not Predictors