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AI economicsAsk about the domain
An explainer, not advice

What AI costs to build and to run

Training, inference and price, one idea at a time. Every number on this page belongs to a made-up company and is labelled an example. No signals, no stock tips.

Part 1
$40MExample Co., one training run (example)

Training is a large cost paid up front

Building a model means running enormous amounts of arithmetic once, on rented or owned chips, over weeks. The cost is large and it is paid before a single customer arrives.

Part 2
$0.002Example Co., one request (example)

Inference is a small cost paid every time

Each answer needs a little arithmetic. The cost per request is small and it repeats. It grows with use, so a popular product has a different cost shape from a quiet one.

Part 3
$20Example Co., one monthly plan (example)

A price is a choice about how to recover both

A company can charge per request, per month or per seat. Each choice shares the fixed training cost and the repeating usage cost across customers differently. This page explains the shapes. It does not say whether any of them works.

Example Co. cost layers, drawn to scale

All sizes are examples for a made-up company.

Three stacked bars: training, inference and serving, as example shares of costtraining (example): one large blockinference (example): grows with useserving and support (example)

Not advice. This is a concept for explaining AI economics. It gives no trading signals, no stock tips and no promise of income or profit to any person or business.

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