Switching Costs Explained: Why It Is Hard to Leave an AI Supplier

Switching Costs Explained: Why It Is Hard to Leave an AI Supplier

Business Pill 35 · Why it is hard to leave a supplier

Switching costs are everything you lose or have to redo when you change supplier, not the price of the new product.

A short explainer video. The numbers in it are round numbers for illustration.

The Short Answer

Switching costs are everything you lose or have to redo when you change supplier, not the price of the new product.

They come in four kinds: your data, which has to be moved; your integrations, which have to be rebuilt; your people, who have to be retrained; and your processes, which grew around the old tool.

A Worked Example

The video uses round numbers. A new supplier is $20,000 a year cheaper, but moving would cost $100,000 in work and disruption. It takes five years to break even, so most customers stay.

Bar chart: moving supplier costs 100 thousand dollars and saves 20 thousand dollars a year, five years to break even
Five years to break even, so most customers stay. Round numbers for illustration.

What Happens in AI

In AI something interesting happens. Swapping one model for another is often easy. But everything built around the model is not: the prompts, the tests, the connections to your data, the habits of your team.

This is why suppliers work so hard to become part of your workflow. The deeper a product sits in your daily work, the more expensive it is to remove, and the more pricing power the supplier holds.

What a Buyer Can Do

As a buyer, you can lower these costs in advance. Keep your data in formats you can export. Prefer open standards. And test.

Three Questions to Ask

  1. What would we have to redo if we left?
  2. How long would it take?
  3. Is that cost rising or falling?

See It in the News

Claude Code Mods: Extensibility and Control Are the Same Layer. A news piece on how what is built around a product can become the point of control.

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