What 30 Years in Wholesale Taught Me About AI

I didn't come to AI through technology.

I came to it through thirty years of watching what actually moves a business — and what doesn't.

Thirty years in wholesale and retail. Managing 250+ stores. Overseeing 12,000+ accounts. Building teams, fixing broken ones, navigating market shifts, and being accountable for results in an industry that doesn't reward theory.

That experience shaped how I think about AI — and why I approach it differently than most people introducing it into organizations today.

I've Seen This Before

Before we talk about AI, I want to go back to the 1990s.

When computers first arrived in the workplace, I was managing teams through exactly the same conversation we're having today. The resistance was immediate and it sounded familiar.

"Computers are going to replace us." "It's too hard to learn." "This is a waste of my time." "I don't see the reason for it."

Sound familiar?

Those are the same objections I hear about AI today. Thirty years later, different technology, identical human response. The fear of replacement. The resistance to learning something new. The skepticism about whether it's worth the effort.

What happened with computers is exactly what's happening with AI — except faster and with significantly higher stakes. The people who embraced computers early didn't get replaced. They became more valuable. The ones who resisted longest struggled to keep pace with colleagues who hadn't.

The difference is that AI isn't just changing how we process information. It's changing how we think, how we sell, how we market, and how we lead. The window for getting ahead of this is narrower than it was with computers. And the gap between early adopters and late resisters will be wider.

The Lesson That Shaped Everything

Mid-career, managing large teams across multiple locations, I learned something that changed how I led for the rest of my career.

People need to see it work before they trust it.

Most leaders skip this step. They make the case intellectually. They show the data. They explain the reasoning. And then they're frustrated when the team doesn't follow with the same enthusiasm.

Buy-in isn't intellectual. It's emotional. People don't change how they work because they understand the argument. They change because they've seen the result with their own eyes, in their own context, doing their own job.

That means the manager's role isn't to announce and delegate. It's to listen first — genuinely understand where the team is coming from, what they're worried about, what would make this feel safe enough to try — and then create the conditions for them to experience success firsthand.

I applied that lesson when computers arrived in the 90s. I applied it again when I introduced AI to my teams. The approach was the same both times because the human dynamics were the same both times.

The technology changed. People didn't.

What AI Can't Learn From a Dataset

Here's what thirty years gives you that no amount of AI training data replicates.

The instinct to recognize when something is technically correct but would fall apart the moment a rep sits across from a real customer.. The experience to know which problems are actually worth solving versus which ones just look important. The credibility to have an honest conversation with a skeptical team — because you've sat where they're sitting and you understand what they're protecting.

AI is a powerful tool. But a powerful tool in the hands of someone who doesn't understand the environment it's operating in produces average results at best. At worst, it solves the wrong problem with great efficiency.

Thirty years taught me to evaluate solutions against reality — not against what they're supposed to do in theory, but against what will actually work when a sales rep is in the field, a marketing team is under deadline, or a leadership team needs to make a decision with incomplete information.

That judgment doesn't come from a prompt. It comes from experience.

Why This Matters for Your Business

The technology is rarely the hard part.

The hard part is the same as it's always been. Getting people to trust something new. Building a culture where change is embraced rather than endured. Creating conditions where your best people feel equipped rather than threatened.

I heard "computers will replace us" in 1993. I'm hearing "AI will replace us" today. The fear is identical. The answer is identical too — embrace it, learn it, and become the person who uses it better than anyone else in the room.

The tool changes. The advantage always goes to the same kind of person — the one willing to learn it before everyone else decides it's safe.

That was true with computers. It's true with AI. And the window to be that person is open right now. Most companies won’t fall behind because they ignored AI. They’ll fall behind because they waited too long to take it seriously.

Brad Gullion

Founder, Fieldnote

I help business leaders apply AI to improve decision-making, workflows, and performance inside real teams.

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