Today I was in a meeting with a consultant from Enterprise Minnesota. Midway through our discussion, he paused and asked, “Have you heard about the DISC personality model?”
He had just started using ChatGPT recently and was experimenting with prompts—some basic, some more advanced. He admitted he wasn’t initially excited about AI. But once he saw how others were using it, he began to explore more, little by little. “Now I’m obsessed,” he said, laughing. “I use it for emails, data cleanup, even brainstorming questions for interviews.”
That moment stayed with me. Because what he was describing—the hesitation, the slow buildup, the eventual deep dive—is exactly the pattern I’ve seen across dozens of teams. And it has nothing to do with who’s smart or technical.
It has everything to do with behavior.
Not long ago, when ChatGPT made AI feel real for the first time—accessible, conversational, fast—I watched something fascinating unfold across companies and clients.
Some people jumped in immediately. They ran prompts, built workflows, shared it with colleagues. Others stayed on the sidelines. A few dabbled, but stayed shallow. Some dismissed it outright.
From a systems perspective, this isn’t just noise or personal preference. It’s a clear signal about how people navigate uncertainty, change, and complexity. And as someone with a background in organizational psychology, I often find that the DISC behavioral framework provides a clean and actionable lens for interpreting these patterns.
Let’s break it down.
The Four DISC Types—and How They Typically Respond to AI
DISC doesn’t predict technical aptitude or ethical alignment. It simply reflects how someone is wired to behave under pressure, in new environments, and around tools that could disrupt the norm.
Here’s how each of the four styles often responds to something like generative AI entering the workplace:
Dominance (D): Fast, bold, focused on results
D types want leverage and speed. When they heard about ChatGPT or other AI tools, they asked, “Can this help me win faster?”
They might not explore the tech in depth, but they’re early adopters because they see it as a performance enhancer.
A COO I worked with used AI to rewrite his board updates. Not because he cared about natural language models—but because he could finish his report in 10 minutes instead of 90.
Influence (I): Energetic, creative, driven by excitement
I types love novelty. They’re often the ones who jump in for the fun of it—using AI to make social posts, marketing taglines, or just to play.
For them, adoption is about energy, curiosity, and being part of the trend.
I once watched a sales team leader introduce AI to her reps not through documentation but through a live “prompt party.” Her whole angle was: “Let’s see what cool stuff we can make.”
Steadiness (S): Loyal, consistent, slow to change
S types are thoughtful and relational. When something new shows up, they don’t resist outright—but they want to know it’s safe, it works, and others they trust have already tried it.
They need structure before action.
An HR director told me she only started using ChatGPT after her legal team issued guidance and her peers shared sample prompts. Now she uses it every day—but she wouldn’t have taken the leap alone.
Conscientiousness (C): Analytical, cautious, precise
C types want to understand the rules. They’ll often be the most skeptical at first—concerned about accuracy, data privacy, and governance. But once they’re convinced something works, they become power users.
They’re the ones building spreadsheets of test prompts and assessing which AI outputs meet compliance standards.
One finance analyst I met created his own internal AI “evaluation rubric” before even running his first real query.
Why This Matters for Leaders
In strategy meetings, I often hear some version of this:
“We gave everyone access to AI. Why aren’t they using it?”
The answer lies not in tools—but in people.
If you lead a team, you’re not managing a single curve of adoption. You’re managing four curves, all happening in parallel:
- The D types are already five steps ahead and need ethical guardrails.
- The I types are enthusiastic but may need structure to go deeper.
- The S types need more safety and peer validation.
- The C types need time and data to build trust.
If you don’t take these dynamics seriously, you’ll mistake resistance for incompetence—or miss the fact that some early users aren’t using AI well, just fast.
As a systems thinker, I don’t just look at surface outcomes. I look at how behavior, structure, and context reinforce or block transformation. DISC is one of many tools, but it’s a powerful one for understanding why some people run toward change—and why others sit back.
Design for Behavior, Not Just Adoption
Too many companies are focused on rolling out the tool.
Very few are designing for capability.
Real AI integration happens when your systems account for human behavior. When you create scaffolding that supports risk-takers, skeptics, followers, and explorers differently—but cohesively.
If you’re serious about building an AI-capable organization, don’t just ask who’s using it.
Ask how they’re wired to learn, adapt, and apply it.
Because adoption isn’t the same as capability.
And capability is where the real value begins.