The leader of the $259 billion Swiss food giant said young employees taught him the importance of “learning constantly,” otherwise he might as well head for the door. “When you stop learning, then it is the moment to move on to another job,” Navratil recently told the New York Times.
The financial infrastructure of that commitment is already in place. The 10 largest AI companies are on track to issue more than $120 billion in bonds—a record high that many are drawing parallels to the debt Big Tech took on during the dotcom boom of the late 1990s. Unlike that era, when the Y2K bubble’s collapse was largely absorbed by equity investors, today’s AI buildout is being financed with debt, meaning a market correction would ripple well beyond stock portfolios.
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这些数字背后，是一场更深层的组织实验——不是“如何管理AI人才”，而是“用AI原生逻辑重构组织本身”。而当时间来到2026年3月，这场实验又衍生出了四个全新变量：Agent正式入编、巨头生态分裂、软硬结合的“双速”挑战，以及精英模式的脆弱性。
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