# Enterprises favor "AI employees" because the framing maps onto familiar roles

> Original title: One problem with enterprise AI is that anything that makes sense in a 2012 business world sticks harder.

- Source: Allie K. Miller
- Published: 2026-11-08T17:45:31.000Z
- Bad Influence: https://badinfluence.news/items/co3ezxuu8vh2eji1ira25db2p
- Original: https://x.com/alliekmiller/status/2119486488929010154

## Summary

Allie K. Miller says "AI employees" gains traction in large firms because executives already understand job titles, salaries, and how to compare salaries with token costs. She argues that enterprise AI is harder when companies must also rethink the surrounding environment and systems, not just automate an existing paradigm.

## Post

One problem with enterprise AI is that anything that makes sense in a 2012 business world sticks harder. 

That’s one reason why “AI employees” as a term has such traction inside of large firms right now - they know what an employee is, they know the job title, they know the salary, and they can compare that salary to tokens. 

Much easier when it’s a paradigm someone has known for decades, and they’re just AI-ing it. 

Much harder when they have to also rethink the environment and system.