You Don't Manage What's Scarce. You Manage What's Abundant.

Here's a pattern hiding in plain sight: management disciplines are never built around scarcity. You don't manage what's scarce — you ration it. You manage what's abundant: direct it, govern it, and keep it from drowning what still matters.

The Industrial Era made operations abundant, and Operations Management was born. The Information Era made information abundant, and Information Management was born. Each time a technology made some resource suddenly cheap and everywhere, the bottleneck moved — and a discipline formed to direct the flood.

Herbert Simon named the law in 1971: "a wealth of information creates a poverty of attention." The rule generalizes. Whatever becomes abundant depletes whatever it feeds on.

Information Management ran a warehouse. Intelligence Management runs a workforce — and the machine part never asks whether it is wrong.

Now run the pattern forward. The cost of AI-grade intelligence collapsed roughly 280-fold in eighteen months (Stanford AI Index). Eighty-eight percent of organizations already run AI in at least one function (McKinsey). Analysis, answers, expert-grade reasoning — the things the last era treated as its scarcest resource — now arrive on demand.

So what does abundant intelligence deplete? Something larger than attention: the organization's contact with what is true, its capacity to decide what is wise, and its worthiness of reliance. Truth, judgment, trust — the three things no machine can own.

And here is the tell that the discipline is missing: despite $30–40 billion in enterprise spend, roughly 95 percent of generative-AI pilots show no measurable P&L impact (MIT Project NANDA). BCG found 74 percent of companies have yet to show tangible value — and the winners follow a 10/20/70 allocation: ten percent algorithms, twenty percent technology, seventy percent people and process. The abundance is real. The returns are not. The difference was never the model.

Information Management built systems of record. Intelligence Management builds systems of sense. The previous discipline managed a stock — data, documents, records: valuable but passive. This one runs a workforce, part human and part machine — and the machine part never sleeps, never doubts itself, and never asks whether it is wrong. That last fact is the entire reason the discipline exists.