5. Thinks AI is too basic for real work

People see AI as too simplistic to grasp the complexities or subtleties of their work. They doubt its ability to match human expertise in handling nuance, context, or creativity.

E.g. A marketing manager avoids using an AI copywriting tool, convinced it will miss the subtle undertones of their message.

Why it happens

Scepticism about AI’s capabilities.

Overconfidence in human ability to manage complex scenarios.

Limited awareness of how AI adapts to specific contexts.

Upsides

• Keeps specific tasks human-led where it counts.

• Pushes teams to refine AI for more nuanced, real-world needs.

Downsides

• Dismisses AI in areas where it could simplify repetitive tasks.

• Leaves people handling work AI could manage, slowing productivity.

Who you'll meet

The Boundary Setter

Limits the use of new tools to prevent disruption.

The Proof Seeker

Questions whether AI’s relevance will stand the test of time.

The Legacy Keeper

Prefers methods with proven track records over emerging technologies.

Quick wins

• Share case studies where AI successfully managed nuanced tasks.

• Let teams test AI tools in low-risk scenarios and AI playgrounds to build trust.

• Emphasise how AI complements, rather than replaces, human expertise.

Use the plays:

Prove AI’s Accuracy & Value

Turn AI into a Learning Tool

Methods that use the patterns

More patterns to explore

Get all 42 patterns and more in the HAP Behaviour Kit

A digital card kit that spots human friction, flips the behaviour, and turns AI skeptics into everyday users.

Works remote, hybrid, or in‑room.

£365

(+ applicable taxes)