Everyone thought AI would reduce costs.

Everyone thought AI would reduce costs.

What actually happened?

Companies replaced salary anxiety with token anxiety!!

Because AI didn’t just make work faster.

It made people do MORE work.

More prompts.
More automations.
More agents.
More workflows.
More tools calling other tools.

And suddenly companies realized:

“Wait... why is our AI bill bigger than our software bill?”

There’s actually a name for this:
Jevons Paradox.

When something becomes more efficient,
people don’t use less of it.

They use more of it.

AI got faster → now every employee runs 14 workflows before lunch.

But this is also why most people are focusing on the wrong thing right now.

The winners won’t be the people using the MOST AI.

It’ll be the people using AI with the best judgment.

The people who know:

• what actually needs automation
• what should still stay human
• which workflows save time
• which ones just create noise
• when AI is leverage
• and when it’s just overengineering with prettier dashboards

Because the future probably isn’t: “replace every human.”

It’s: small teams making smarter decisions with better systems.