The theory

AI does not need to be as good as you.

It only needs to be good enough for the client to stop paying you to do the work.

A framework for thinking about client sufficiency, professional judgement, shared abundance and the trust that follows.

Explore the frameworks See the legal case study

A professional worktable stands at the edge of a threshold. Documents and a desk lamp lead towards a quiet service flow beyond the room.

The argument in brief

The threshold is client sufficiency.

Good enough moves

The relevant threshold is not the best human performance. It is the point at which a client judges the full available service sufficient.

The service is whole

Accuracy matters. So do speed, cost, availability, responsiveness, auditability, risk allocation and patience.

Direction is clearer than timing

This is a directional argument about changing incentives. It is not a timetable, and it should not be treated as one.

Good Enough, moving up the food chain

AI does not need to match the best human professional. It needs to be good enough for the customer to stop paying a human to perform the task. That standard is not fixed. It moves as systems improve and as clients compare the complete AI-enabled service with the complete available human service.

“Is it good enough to avoid picking up the telephone?”

That comparison may include accuracy, speed, cost, availability, accessibility, consistency, service quality, insurance and the allocation of risk. A fast, inexpensive and insured service can change the market before it is superior on every dimension.

The useful question is not whether AI can do everything. It is which task remains outside the sufficiency boundary, why and how quickly that boundary is moving.

Two reframes

Medicine is for health outcomes, not diagnoses. Contracts are for sustainable commercial relationships, not documents.

Clients buy a result, not simply the historical process used to produce it.

Facts first. Claims kept in their proper tier.

The theory separates four kinds of statement: verified present fact, reasonable inference, directional forecast and speculative possibility. The distinction matters. A task is not a job. Technical capability is not economic adoption. A vendor claim is not independent evidence.

The intention is clear sight. The direction of change can be argued firmly while its pace, scope, sector order and institutional response remain open to evidence.

A connected framework

Five arguments and a developing extension.

1. Good Enough

AI crosses the client’s sufficiency threshold. Good enough can displace a paid human role before it matches the best professional.

2. The Judgement Dilemma

The old ladder of junior formation is weakened from below while more senior judgement is absorbed from above.

3. The Human Backstop Illusion

Human review may be a stage in a changing service model. Regulation can preserve accountability without preserving broad employment.

4. The Consumption Paradox

More professional intelligence may be consumed while fewer professionals are employed and fewer external instructions reach firms.

5. The Transaction Tax and the floor

As labour taxation weakens, the direction proposed is to tax economic activity more broadly and share productive abundance through a secure floor.

Developing: the Integrity Dividend

Where verification becomes cheap and identity persists, a verifiable history of keeping promises may acquire clearer economic value.

A person crosses five stepping stones towards an open gate and a shared civic square, suggesting connected choices about work, trust and abundance.

The governing question

Who inherits the factory?

The question reaches beyond who keeps a job. Can everyone share in what productive abundance creates without first having to prove that they remain economically useful?

The theory does not ask people to deny change. It asks us to face it, test the mechanisms carefully and build a future with enough room for dignity, contribution and trust.

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