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Leaders – Leading a Team – Unit 1 of 15

Leading a Team – Unit 1 of 15: Taking your team's fears and resistance seriously

A real learning unit from this module, exactly as in the learning portal: the chat tutor at the top, the handout and practice sheet below. No sign-up.

Chat tutor

A real conversation, exactly as in the booking portal – limited here to this one learning unit.

The tutor walks you through this unit's exercise step by step and asks follow-up questions – just as in the real training. Answer with a real or a made-up case. Please do not enter confidential company or personal data.

Read the handout for this learning unit

Leaders – Leading a Team – Unit 1 of 15: Taking your team's fears and resistance seriously

Module: Leaders – Leading a Team (Track G) · Unit 1 of 15 Topic block: Leading your team through AI change Your learning objective today: You have named the likely fears/resistance in your own team and formulated an initial, honest way to open the conversation.

Why this matters to you

AI adoption rarely fails because of the technology – it fails because fears within the team go unspoken and surface instead as quiet refusal, working to rule, or corridor gossip. A manager who acts as if these worries do not exist loses the trust of exactly the people they need for implementation. A manager who addresses them openly gains both: honesty within the team and a real head start on implementation.

Concept: the four most common AI fears in a team

  • Fear of replacement – "If AI can do this, they won't need me any more."
  • Fear of devaluation – "The experience I built up with such effort suddenly counts for nothing."
  • Loss of control – "I no longer understand what's happening in the background, but I'm still the one who has to answer for it."
  • Fear of surveillance – "Is this tool actually also measuring how much or how well I work?"

Important: these fears are usually not irrational. They are an understandable reaction to genuine uncertainty. Your job as a manager is not to talk them away, but to name them before your team does – whoever voices the worry first takes away its threat.

What this looks like in practice

A team leader in customer service notices unusual silence in meetings and more sick leave than usual after an AI tool is announced. Instead of ignoring this, she opens the next team meeting with: "I suspect some of you are wondering right now whether this tool is meant to replace your jobs. It isn't – but I'd rather talk about it openly than leave the question hanging in the air." The result: two team members go on to raise their concerns openly, concerns that would otherwise never have been voiced.

Your exercise – 3 rounds

Round 1: Identify the likely fears in your team

Use an AI to generate a list of typical fears for your team/industry (prompt idea: "What fears/resistance are typical when AI is introduced in a team like [your role/industry]?"), and compare it against what you have observed.

  • My 3–4 most likely fears in the team: ___________________________________________

Round 2: Collect real signals

What have you yourself already observed or heard (comments, mood, questions) that points to one of these fears?

  • Concrete signals I have noticed: ___________________________________________

Round 3: Formulate an opening for the conversation

Formulate 3–4 sentences you would use to raise the topic openly with your team – honest, without sugar-coating.

  • My opening for the conversation: ___________________________________________

Self-check – in conversation with the chat

Write your answers to all three questions in one message in the course chat:

  • Name your 3–4 most likely fears in the team.
  • What real signals have you already noticed for these?
  • Read your conversation opener again – does it sound honest, or does it sugar-coat something?

Bonus, if you have more time or finish early

  • Bonus A: Ask the AI to generate counter-questions a sceptical team member might put to you – prepare your answers to them.
  • Bonus B: Consider which of the four fears is most likely to apply to you yourself as a manager.

What you can do now – and what comes next

You know the likely fears in your team and have an initial, honest way to open the conversation. In learning unit 2, you will build a positive but realistic AI vision for the team from this.

Stuck? Ask the chat. If you find it hard to observe this because your team doesn't yet know about the AI introduction, think instead about the reactions you know from comparable change processes.

See the practice sheet – you keep it as a PDF
The practice sheet for this learning unit. Every learning unit comes with one: the topic in brief, plus a ready-made prompt for any AI tool. In the booking portal it is a downloadable PDF — the files stay with you, even after access ends with the term.

Leaders – Leading a Team – Unit 1 of 15: Naming the fears in the team

Practice sheet for this learning unit · Leaders – Leading a Team · Unit 1 of 15 Learning objective: Name the likely fears and resistance in your own team and formulate an honest opening for the conversation.

What this is about

Resistance to AI in a team is rarely technical. Behind it usually stand three worries: Will I be replaced? Will my work be devalued? Will I be monitored through this?

These worries are almost never spoken aloud – instead, practical objections about data quality or workload come up. Anyone who answers the practical objection is not answering the question that was actually asked, and then wonders why it comes back.

The opening of the conversation is decisive. It must name the worry before anyone has to say it out loud – and it must not promise anything you cannot keep. A broken promise at this point costs more than an uncomfortable truth.

The three things that matter

  • The practical objection is often not the real worry.
  • Name the worry first, rather than waiting for someone to voice it.
  • Do not promise anything you cannot keep. Not even if you mean it as reassurance.

The most common mistake

Promising certainty over something you do not decide. If the decision on jobs is not yours to make, say so – that is more credible than reassurance that could later fall apart.

Your prompt

Copy it into any AI tool. Fill in the MY DETAILS block first – without it you get a general answer that fits anyone and helps you with nothing.

You are a manager who names your team's worries instead of talking them away.

MY DETAILS
- My team: [size, tasks, composition]
- What would change for us through AI: [specific]
- What mood I am picking up: [observations, including undertones]
- What I decide myself and what I do not: [be honest]
- What I can definitely commit to: [your answer]

TASK
Name the likely worries in my team, distinguishing between the practical objection and the worry behind it. Formulate an opening for the conversation that addresses the worries and only commits to what I decide on. Mark every point where I would be tempted to promise too much.

RULES
- Do not invent anything about my organisation, my channels or my figures. Whatever is missing under MY DETAILS you ask about – you do not assume it.
- Do not state any figures, benchmarks, platform statistics or algorithm rules as fact unless they come from my details. Such information becomes outdated and does not carry over to my case.
- Do not formulate any commitment that goes beyond the area of decision I have stated.
- Do not invent moods – work with my observations.

FORMAT
A list of worries with the distinction, then the opening for the conversation, then the marked points.

How you can tell it is good

  • The opening contains no commitment outside my area of decision.
  • Each worry is shown alongside the practical objection it hides behind.

One notch further

Sharpen. Put the fears you wrote down to your team and let them delete what is wrong. What they add is the fear you could not see.

Last updated: September 2026. Tools, platforms and conditions change without notice – the method on this sheet stays; check individual details against your own case.

All 15 learning units in this module work exactly like this

In the booked package the chat tutor carries on, instead of stopping after a few messages as it does here — plus 14 further learning units in this module.

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