5| Thinks AI is too basic for real work

What’s happening?

They see AI as too simplistic to handle the depth of their work, missing the nuance, context, and creativity. They doubt it can match human expertise where it matters most.

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

How to Spot This in Your Team

How to Spot It

AI exists but gets ignored for high-value work.
Teams spend hours on tasks AI could handle.
AI suggestions are dismissed without testing.

What people say:

"AI is fine for admin and a bit of copy amending, but real work needs real expertise."
"We need human judgment, AI just doesn’t get it."

AI Hesitation Profile Finder

Who’s hesitating?

Find the mindset holding your team back, and how to fix it.

Answer two quick questions to identify the profile driving AI resistance in your team.

🅰 What’s happening?

Which best describes your team?

Doesn’t trust AI’s judgment. AI lacks the full picture, so they won’t let it make decisions.
Doubts AI can handle expertise. Their work is too nuanced for AI to understand.
Sticks to what works. Trusted human processes feel safer than AI.

Your hesitation profile

What's driving them?

[Short explanation]

Try today:

[Tactical action to take immediately]

Quick wins – Pick one & take action!

Quick wins

Choose one quick win to start breaking the “wait and see” cycle.

AI won’t do everything - but it can do something. Find where it fits.

Steps:

Choose a task - Something repetitive, time-consuming, or structured. E.g.,: Summarising reports, drafting standard emails, creating first drafts of documents, spotting trends in data

Use this table to break it down:

Task	What AI can do	What needs human input	What’s missing? (Context, accuracy, flexibility)
Example: Summarising reports	Extracts key points	Adds nuance, removes irrelevant details	Context (What matters most in this report?)
Example: Drafting an email	Writes a first draft	Adjusts tone, checks facts	Flexibility (How should this be personalised?)
Your task	AI-generated output	Human refinement	Where AI needs support

Refine how AI is used.
- Missing context? Improve your prompts: “Summarise this report, focusing only on [specific topic].”
- Lacks accuracy? Check sources and fact-check before sharing.
- Too rigid? Give AI examples of the style or tone you need.

Try today: Fill in the table with one task your team does daily. Test AI on it.

Prove AI’s value by comparing outputs, not debating ideas.

Steps:

Choose a task where AI might help. Examples:
- Generating content ideas
- Summarising meeting notes
- Structuring a project plan
Run a test:
- Assign the task to AI and a team member.
- Compare results side by side.
Ask key questions:
- Where did AI save time?
- What needed human refinement?
- How could AI + human together be better than either alone?

Try today: Pick one routine task. Have AI and a human do it separately. Compare the results.

People assume AI makes mistakes - but so do humans. Make it visible.

Steps:

Pick a past decision or process - Something done without AI.
Look for errors, delays, or bias - Where did things go wrong?
Run the same task through AI - What does it catch? What does it miss?
Compare both results - AI and humans both need structure, clarity, and good inputs.

Try today: Find one human-only decision. Run it through AI and see what changes.