How to Spot Them
Signature behaviours:
- Uses AI as default – Every task, prompt, or message goes through a tool.
- No review instinct – Rarely checks or edits outputs.
- Avoids decisions – Prefers AI guidance over personal judgment.
- Automates everything – Chooses speed and ease, even when oversight is needed.
- Works solo with AI – Bypasses the team and leans on tools instead.
What this means for you:
- They boost speed and consistency, especially in routine tasks.
- They normalise AI use, making others feel like they’re behind.
- But they also potentially weaken team trust and impact. If AI gets it wrong, they won’t catch it.
- Over time, they risk losing creative input, critical thinking, and collaboration.
The Challenges They Create
⚠️ Blind trust – Assumes AI is always right, even when it clearly isn’t.
⚠️ Skill erosion – Relies on AI so much, they stop developing their own judgment.
⚠️ Missed context – Ignores team input or real-world nuance AI can’t see.
⚠️ Output over outcome – Focuses on finishing, not on whether it’s right.
What to do
Interrupt autopilot
- Add subtle review nudges like “Does this feel right?” or “Anything missing?”
- Build in checkpoints before final outputs go live.
- Use reflection prompts to reconnect them with their own expertise.
Put them in the reviewer seat
- Ask them to audit or critique AI outputs instead of just using them.
- Run sessions where they compare AI vs human work to spot differences.
- Highlight examples where human insight made the real difference.
Bring the team back into the loop
- Pair them with teammates to co-review AI-generated work.
- Encourage asking others, not just AI, for feedback or input.
- Create shared checkpoints to blend team decisions with AI speed.
