AI Tokens Are Not Cheap At Scale

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Bozhidar Donchev
Bozhidar Donchev

A lot of companies still think AI is cheap.

And at small scale…

it is.

You connect an API. Generate some text. Automate a few tasks.

Everything feels fast and affordable.


But that changes quickly

Because AI pricing is not based on “using AI”.

It’s based on usage at scale.

And scale changes everything.


It usually starts small

A few prompts here and there.

Then suddenly:

  • thousands of API calls

  • long conversations

  • large documents

  • multi-step automations

  • multiple AI agents talking to each other

And now:

The token usage compounds.

Fast.


What many companies underestimate

AI is not just one response.

Behind the scenes there is:

  • context processing

  • retries

  • memory

  • embeddings

  • file analysis

  • structured outputs

  • workflow orchestration

Every step consumes resources.

And once AI becomes operational infrastructure…

the costs become operational too.


A simple example

A company builds an AI support assistant.

At first:

  • a few users

  • short conversations

  • low monthly cost

Everything looks amazing.

Then:

  • more clients use it

  • conversations become longer

  • documents get uploaded

  • integrations increase

Now the system:

  • processes more context

  • makes more API calls

  • stores more memory

  • handles more complexity

The AI didn’t become “bad”.

The business simply reached scale.


Why this matters

Many companies focus only on:

“Can AI do this?”

Instead of asking:

“Is this operationally sustainable?”

Because AI that saves time but destroys margins…

is not optimization.

It’s hidden operational debt.


The shift

AI should create measurable operational value.

Not just more output.

Before scaling AI, it’s worth understanding:

  • where it actually saves time

  • where humans are still better

  • where automation creates real leverage

  • where the cost grows faster than the value

Because not every workflow should be automated.


Closing

AI is cheap when it’s a demo.

It becomes expensive when it becomes infrastructure.


The companies that win with AI won’t be the ones using it everywhere.

They’ll be the ones using it intentionally.