AI agents are fundamentally reshaping organizational structures by replacing the traditional middle management function of information routing. Historically, hierarchical systems like the Roman military and modern corporations relied on human layers to aggregate data and relay decisions. Today, centralized "world models" and distributed agent networks are assuming these coordination roles. Block is architecting a top-down transition toward an intelligence-based structure where individual contributors and "player coaches" operate at the edge, guided by real-time data. Simultaneously, companies like Every demonstrate a bottom-up evolution where specialized agents emerge from daily micro-interactions, creating a shadow org chart. While these approaches differ in their implementation—centralized versus distributed—both signal the obsolescence of managers whose primary value is manual information flow, shifting the focus toward systems that enable faster, autonomous decision-making at the point of customer contact.
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