22| Waits for others to try AI first
"If it really worked, wouldn’t we all be using it already?"
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5| Thinks AI is too basic for real work
"How can AI match what us humans can do?!"
1| Shrugs off AI as hype
“This AI thing will fade away… let’s wait and see.”
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Human-AI Patterns
Human-AI Patterns
The Smart Delegator
They’re all about working smarter. If AI can handle it, they’ll hand it over. They focus on big-picture thinking and are often first to adopt and scale AI. But delegate too fast, and they risk missing nuance, losing context, and slipping on quality.
The AI Dependent
They treat AI like a calculator: input, output, move on. It feels safe and easy, speeding delivery and scaling fast. But that comfort hides over-reliance. Without critical thinking, context gets lost, errors creep in, and teams follow blindly instead of leading with intent.
The Co-Creator
They see AI as a spark, not the fire. It’s a tool for stretching ideas, breaking blocks, and building momentum. They’re the bridge between old workflows and new ways of creating. Their playful curiosity drives adoption. But lean too hard on AI, and they’ll feel like the work is no longer theirs.
The Boundary Setter
They’re clear about who’s in charge: them. They don’t mind AI in the room, but they won’t hand over the keys. They’re thoughtful, protective of quality, and deeply values-driven. They help teams stay human-led. But without space to adapt, they risk becoming blockers, not builders.
The Anxious Adapter
They’re afraid of getting AI wrong. Confused by jargon, scared of pressing the wrong button, and worried AI will make them look bad or worse, replace them. They represent the silent majority. They won’t block AI, but they won’t use it either, unless they feel safe, supported, and seen.
The Ethics Watchdog
They don’t hate AI, they just don’t trust it yet. They value doing it right over doing it fast. Fairness and transparency aren’t nice-to-haves, they’re non-negotiable. Win them over, and they’ll help you build something better.