Employees demanding IT changes based on AI chatbot instructions
Non-technical staff and directors are using AI chatbots to generate misguided administrative requests, registry hacks, and justifications for non-standard equipment. This forces IT professionals to field irrelevant instructions and risky setup demands from coworkers who rely on overconfident AI output.
What people tried
Every workaround mentioned in the threads below. We haven’t tested any of them — and nobody here is claiming they worked.
Found another way around this?
Share your steps and trade-offs so fellow engineers don't have to reinvent the wheel. No account required.
- 1Responding with the risk and time cost to make requests less urgentDid this help you?
- 2Throwing requests into a todo list and running benign, isolated instances insteadDid this help you?
- 3Sharing examples of reputational harm from other companies to warn VPsDid this help you?
- 4Shutting down the conversation by refusing to argue with another person's chatbotDid this help you?
In their words
Unedited, grouped by where they were said, most upvoted first within each place, each linked to the thread it came from.
“Any other IT professionals dealing with the phenomena of regular (non-IT) employees reaching out to get you to change Admin settings/policies because they ask AI how to do something. Then, then they send you instructions how and where to go?”source ↗
“had a director send me a screenshot of some registry hack he wanted pushed to the entire marketing department just so they could have their outlook preview pane a different colour”source ↗
“We’ve seen people use it to build a case for buying non standard equipment. We’ve seen people use it to tell us where an issue is.”source ↗
Where this came up
People with this problem also raised
- 3Why does AI give different answers or write bloated essays?
- 9What to do when your boss uses AI to write everything
- 26Why am I being forced to use AI at work?
- 4How to handle leadership demanding AI for everything
- 7How to secure and support internal AI apps built by non-technical employees
- 3How to decide who gets access to workplace AI tools