Every communication technology in the history of management was introduced with the promise of saving the manager time. Every one of them increased the total communication load. The letter, the telephone, the fax, email, instant messaging, video conferencing — each tool delivered its promised efficiency at the level of the individual task and produced, at the level of the total system, more communication to process. The pattern is not coincidence. It is a structural law: when the cost of initiating a communication drops, the volume of communication rises, because communications that would not have been worth the old cost are now worth the new one. The manager, sitting at the nexus of the organization's information flows, absorbs the increase. The law has no natural limit. It operates until structure intervenes, or until the manager breaks.
The law's mechanism is recursive. Each new tool does not merely add a channel; it interacts with every existing channel, creating cross-channel traffic — the email that references the Slack thread, the meeting scheduled to discuss the email, the follow-up message about the meeting. The channels multiply each other, and the total exceeds the sum of the parts. This is why the nine-minute fragment has not lengthened across half a century of productivity innovation.
AI represents the sharpest test of the law because it operates through three mechanisms simultaneously: output generation (artifacts requiring evaluation), channel proliferation (new capabilities creating new communication surfaces), and expectation inflation (response-time compression as the organizational metabolism accelerates to machine speed). See the evaluation bottleneck and task seepage for adjacent diagnostic frames.
The law parallels, without reducing to, the Jevons paradox of labor — the observation that efficiency gains in coal use increased rather than decreased consumption. The structural mechanism is the same: increased capacity generates increased demand until a new equilibrium is reached, always at overload. The implication — that structural remedies, not personal discipline, are required — aligns Mintzberg with the institutional imperative Beatrice Webb defended and the organizational dams Christina Maslach prescribed.
The law's operation in the AI era is visible in the empirical record of the Berkeley study, which documented task seepage and work intensification as the predicted consequences of deploying a production technology into a system whose equilibrium is overload. The machine does not liberate the manager from the torrent. It accelerates the torrent.
Mintzberg never formulated the law in these precise terms. The formulation is Edo Segal's, articulated in the Foreword of this volume as a synthesis of Mintzberg's empirical observations across decades. Mintzberg's work documented the phenomenon; the law names it.
Proportionality, not linearity. Each new tool multiplies channels rather than adding them, producing cross-channel traffic that exceeds the sum of the parts.
The equilibrium point is overload. Organizations do not have a natural resting state in which communication is sufficient and the manager has slack; they fill to the limit of whatever capacity is available.
Structural, not personal. The law cannot be addressed through individual productivity techniques because the cause is not individual but systemic.
No natural limit. The law operates until structure intervenes — either through deliberate organizational design or through the breaking point of the human at the center.
Whether the law is truly general or whether certain organizational forms — particularly the adhocracy — can operate outside it remains an open question. The evidence suggests that even adhocracies experience the pattern, though they may be better positioned to absorb it through mutual adjustment rather than hierarchical filtering.