AI companies fight over 5% of the market - technical users who understand prompts, databases, deployment.
Someone needs to solve for the other 95%.
Business operators who know their operations better than any AI, but can't translate that knowledge into working systems. Restaurant owners. Warehouse managers. Hotel operators who need automation but can't use what exists.
Whoever cracks this translation gap owns the market.
I'VE LIVED BOTH SIDES
I'm testing AI coding tools. I describe what I need, AI generates code in minutes. Impressive.
Then I hit the wall: "Where does the data go? How do I set up the database? Hosting? Security?"
The AI tells me to "put it somewhere that works like a database."
Like telling a valet to "put the car somewhere that works like a parking spot." Useless.
I have 20 years building enterprise automation. Founded and sold AVPMi, deployed across airports, hotels, hospitals in 12 countries. Earned US Patent 10,580,098 B2.
If I'm stuck on database setup, what chance does a typical business owner have?
THE TRANSLATION GAP
A warehouse manager says: "I need to track inventory."
What they mean: "My crew needs to scan items wearing gloves in -20°F, one-handed while carrying boxes, updating in real-time even when WiFi is spotty, with alerts."
What AI hears: "Build an inventory database."
AI builds something technically perfect that fails in reality. Touchscreen doesn't work with gloves. App requires two hands. Crashes without WiFi.
Both sides think the other knows the obvious parts. Neither does.
What the manager is really asking: Can you hear me?
THE BACKWARDS SOLUTION
Hundreds posting "the perfect prompt" on X.
We're teaching business owners to speak AI language instead of teaching AI to understand business language.
AI asks: Can you use my interface?
Operator asks: Can you hear me?
I've seen this before.
THE OPPORTUNITY
Millions of operators need automation. Their operational knowledge is the goldmine. But they can't use current AI tools.
AI companies leave billions on the table fighting over technical users while ignoring the operator market.
Operators aren't "non-technical users." They're domain experts whose knowledge is more valuable than any AI model.
The question isn't how to teach them better prompts.
The question is how to build AI that can hear them - that understands operational reality.
This gap can be solved. I'm working on it.
If you're an operator who hit the wall with AI tools, follow along.
If you're building AI products wondering why adoption stalls, pay attention.
If you're working on this problem, reach out.