I've interviewed 50+ Idaho business leaders about AI. Owners. Presidents. Directors. Operators. Safety leaders. Brokers. People in construction, real estate, finance, healthcare, and professional services.
I wasn't selling. I wanted to understand how Idaho businesses are actually using AI.
I expected to find an AI adoption problem. Instead, I found a knowledge problem.
Almost everyone I talked to uses AI personally. Cleaning up emails. Summarizing reports. Pulling action items from meetings. Asking ChatGPT questions.
But personal AI use isn't company-wide AI adoption. There's a huge difference between one person using ChatGPT and an entire business becoming more effective because of AI.
After 50+ conversations, the same pattern kept showing up: the business doesn't have its knowledge organized in a way that people or AI can actually use. It's scattered across inboxes, spreadsheets, CRMs, SharePoint folders, and software that doesn't talk to each other. Or worse, it lives entirely in someone's head.
The president of one of Idaho's largest development companies is one of the most AI-capable people I interviewed. He builds his own tools, drops monthly reports into Claude, and models profitability months into the future.
And he's still stuck. Not on the technology. On the data.
"There's not a single source of truth within our organization."— President, Idaho development company
Information lives with the county, the development team, purchasing, and in separate spreadsheets. One of the most AI-capable people I interviewed is being held back by the same thing holding back companies that haven't even started. Scattered knowledge.
I heard versions of this everywhere.
A treasury leader manually pulls information across more than 30 banking relationships to build a 13-week cash forecast.
An operations leader at a roofing company spends roughly 80% of her day answering questions, because the answers live in her head.
A safety director built his own AI using five years of experience, but only he uses it. His crew still asks regular ChatGPT, which knows nothing about their actual safety procedures.
These companies have always had knowledge problems. Information buried in inboxes. Different versions of the same document. Employees maintaining their own spreadsheets. Experienced people carrying knowledge nobody else documented.
Before AI, those were operational problems. Now they're AI problems too.
Because AI is only as useful as what it can access and understand. Give a company the best model in the world, but if its knowledge is spread across disconnected software and three people's memories, it doesn't have much to work with.
That's why so many companies are stuck at: "Everyone has ChatGPT, but nothing has changed."
I don't think Idaho businesses are behind because they're afraid of AI. The people I interviewed were curious. Many were experimenting. Some were already building their own tools.
The next phase isn't about finding a better chatbot. It's about understanding what knowledge actually runs the business, where it lives, and how to make it accessible.
The companies that win with AI won't be the ones that find the newest tool first. They'll be the ones that organize what their business knows, capture what their people know, and build AI around how their company actually operates.
That's the edge. Not another AI subscription. A better foundation.
Idaho is a competitive market. If you're not leveraging AI to its fullest potential, someone else is. AI didn't create Idaho's knowledge problem. It exposed it. And the businesses that solve it will have a major advantage over the ones that keep buying new AI tools and wondering why nothing changes.
— W.S., Boise, 2026