The Best AI Use Cases Are the Ones Nobody Tweets About

Open any tech feed right now and you’ll see the same stuff. AI generating photorealistic images. AI writing entire codebases. AI having philosophical conversations about consciousness.

Cool demos. Genuinely impressive technology. And almost none of it is where the real money is being made.

The AI use cases actually generating revenue are the ones nobody screenshots for LinkedIn. Temperature log validators for restaurant chains. Payroll compliance checkers that flag overtime violations before they become lawsuits. Employee classification calculators that tell you whether your new hire is exempt or non-exempt under FLSA guidelines.

Boring stuff. The kind of problems that make people’s eyes glaze over at dinner parties.

I know this because I’m building these tools right now.

LogChef checks whether food temperature logs meet health code requirements. Exemptly walks you through the DOL’s duties tests to classify employees correctly. PayShield catches payroll compliance gaps before an auditor does.

Nobody is going to retweet a temperature log validator. Nobody is making TikToks about employee classification flowcharts. But here’s the thing: people actually search for these tools. Real humans with real compliance deadlines type “FLSA exempt vs non-exempt calculator” into Google every single day. And when they find a tool that solves their problem in 60 seconds, they remember who built it.

I wrote about this pattern before in Nobody Cares About Your AI. The technology itself doesn’t matter to the end user. What matters is whether the problem goes away.

A restaurant manager doesn’t want “AI-powered food safety monitoring.” They want to not fail their next health inspection. A payroll admin doesn’t want “machine learning compliance analysis.” They want to stop worrying about whether they’re breaking federal overtime rules.

The gap between what the AI community talks about and what businesses actually need is enormous. And that gap is where the opportunity sits.

If you’re building with AI right now, here’s my honest take: stop chasing the use case that’ll get you on Hacker News. Start looking at the problems people are too embarrassed to admit they still handle with spreadsheets and sticky notes.

The compliance checks done on paper. The classification decisions made by gut feel. The audit prep that takes three people a full week.

Those are your best AI use cases. They just don’t make good tweets.

What’s the most boring problem you’ve seen AI actually solve well?