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8 May 2026 · 5 min read

By Gokul Kumar

Thinking used to be the scarce thing

Look closely at any business process and you will find the same assumption underneath it: thinking is the expensive part. Human attention is scarce, so the whole system is built to ration it.

That is why work waits for approval. Why somebody fills in a form after the fact, translating what happened into fields a system can store. Why the books close three weeks after the month does. Why decisions queue behind whoever has the authority to make them.

None of that is stupidity. It is a rational response to thinking being scarce. It is also the assumption that has just broken.

Primitive but infinite

The mistake is waiting for one enormously capable AI. That is still scarcity thinking — it assumes the valuable mind is rare and you must queue for it.

The actual shift is that minds are now cheap and plentiful, even though each one is fairly primitive. You do not get one brilliant analyst. You get a thousand mediocre ones who never sleep, never get bored, and cost almost nothing each. Designing for that is a completely different exercise.

Sophisticated but scarce was the old constraint. Primitive but infinite is the new one.

What changes when you design for abundance

  • Approval becomes validation — instead of waiting for a human to check before acting, work happens in parallel and gets scored against a standard
  • Data entry becomes observation — nobody fills in a form describing what happened; the system already recorded it
  • Tools become swarms — one intent produces a draft, several critiques, a fact-check and a finished file, rather than one person and one tool
  • The month-end close becomes continuous — every transaction validated as it happens rather than reconciled in arrears

Notice that none of these are about the AI being clever. They are about removing waits that only existed because attention was rationed.

What the human does instead

The role moves from doing the work to two things: designing the rules the infinite minds operate inside, and deciding on what comes back.

The first is the harder and more valuable one. Somebody has to write down what a correct output looks like, what the business is actually optimising for, and where the boundaries are. That work cannot be delegated to the minds themselves, because it is the thing that tells them what good means.

This is why we start every engagement by writing your standard down rather than by installing anything. The standard is the design work. Everything after it is execution, and execution is the part that got cheap.

Why this matters most to bigger companies

Large organisations are the ones most paralysed by thinking scarcity. They have thousands of people and still cannot move, because every decision queues behind a hierarchy built to ration attention that is no longer scarce.

The opportunity is not to replace those people. It is to stop making them the bottleneck for work that never needed their judgement in the first place — so their judgement goes to the things that do.

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