
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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Verwandle Wissen in fesselnde, beispielreiche Erkenntnisse
Erfasse Schlüsselideen blitzschnell für effektives Lernen
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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.
Zerlegen Sie die Kernideen von What To Do When Machines Do Everything in leicht verständliche Punkte, um zu verstehen, wie innovative Teams kreieren, zusammenarbeiten und wachsen.
Destillieren Sie What To Do When Machines Do Everything in schnelle Gedächtnisstützen, die die Schlüsselprinzipien von Offenheit, Teamarbeit und kreativer Resilienz hervorheben.

Erleben Sie What To Do When Machines Do Everything durch lebhafte Erzählungen, die Innovationslektionen in unvergessliche und anwendbare Momente verwandeln.
Fragen Sie alles, wählen Sie die Stimme und erschaffen Sie gemeinsam Erkenntnisse, die wirklich bei Ihnen ankommen.

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