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Leading Through the AI Anxiety: What Department Supervisors Should Say in Their Next Staff Meeting

A new Brookings report shows public-sector AI anxiety at an all-time high. Here's exactly what department supervisors should say in their next staff meeting to calm fears and lead with clarity.

LK

LaTonya Koonce

Founder, GovAI Education Group

May 30, 2026

Leading Through the AI Anxiety: What Department Supervisors Should Say in Their Next Staff Meeting

Leading Through the AI Anxiety: What Department Supervisors Should Say in Their Next Staff Meeting

Last week, a city HR director called me almost in tears. Her finance team had just seen a news segment about AI replacing accountants, and three of her best staff members asked if they should start job hunting. She had a department meeting in two days and didn't know what to say.

If you're a supervisor in government right now, you've probably felt some version of this. A Brookings report released this week shows 61% of public-sector employees report "high anxiety" about AI's impact on their role — the highest number since tracking began in 2023. That fear is showing up in your break rooms whether anyone says it out loud or not.

Here's the good news: you don't need to be an AI expert to lead your team through this. You need a clear message, honest answers, and a plan. This post gives you all three — ready to use in your next staff meeting.

Why are government employees so anxious about AI right now?

Quick Answer: Government employees are anxious because headlines focus on job replacement, not job support. Workers see private-sector layoffs tied to AI and assume public-sector cuts are next. Add unclear guidance from leadership, and people fill the silence with worst-case scenarios. In my experience, the anxiety is rarely about AI itself — it's about not knowing what their employer expects of them.

What I've seen consistently across cities and counties: when leadership stays quiet, rumors run the meeting for you. Employees aren't reading federal AI policy documents on their lunch break. They're watching TikToks and forwarding articles to each other.

The fix isn't more information. It's clearer leadership communication — starting with you.

What should a supervisor actually say in the next staff meeting?

Quick Answer: Lead with three messages: (1) we are not replacing people with AI, (2) we are using AI to remove the tasks you already hate, and (3) you will be trained, not tested. Then open the floor to questions. Keep it under 15 minutes. The goal isn't to solve AI — it's to lower the temperature in the room.

Here's a talking-points framework you can adapt:

  1. Name the elephant. "I know many of you are seeing news about AI and worrying about your jobs. I want to talk about that directly."
  2. State your commitment. "Our plan is to use AI to support your work, not replace you. That's coming from me, and it's coming from leadership above me."
  3. Give a concrete example. "Think about the meeting minutes we spend hours formatting. That's the kind of task AI helps with — so you can focus on the work only a person can do."
  4. Promise training, not surprises. "Nobody here will be expected to figure this out alone. When we adopt a tool, you'll be trained on it first."
  5. Invite real questions. "What concerns do you have? I'd rather answer them here than have you carry them home."

What is "human-in-the-loop" and why does it matter to your team?

Quick Answer: Human-in-the-loop means a person reviews and approves every AI output before it's used in real work. The AI drafts; the human decides. For government, this is non-negotiable — public records, citizen communications, and policy decisions all require human judgment and accountability. Telling your team you operate "human-in-the-loop first" is one of the most reassuring things you can say.

A common question I get from supervisors: "How do I explain this without sounding technical?"

Try this: "AI is a really fast assistant. It can draft a memo, summarize a 200-page report, or suggest responses to citizen emails. But nothing it produces goes out the door without one of us reading it, fixing it, and signing off on it. The judgment stays with us."

That sentence alone has calmed entire departments I've worked with.

How do you handle the employee who asks, "Will I lose my job?"

Quick Answer: Answer honestly and specifically. Don't promise what you can't deliver, but don't dodge either. The most powerful response combines a direct "no" with an explanation of how their role is evolving — and what support they'll get. Vague reassurances ("everything will be fine") actually increase anxiety because employees can tell you're not being straight with them.

Here's a script that works:

  • If the answer is no: "No. Our staffing plan does not include AI-driven reductions. What will change is some of the routine work you do — and we'll train you on the tools that take it over."
  • If the answer is "I don't know yet": "I don't have a final answer, and I won't pretend I do. What I can tell you is what I know today, and I'll share updates as I get them. You will not learn about changes to your job from a memo."

Honesty builds more trust than optimism. In my experience working with government teams, employees can handle uncertainty far better than they handle being managed around.

What's the bottom line?

Your team's AI anxiety won't be solved by a policy document or a webinar — it will be solved by you, in person, saying the right things clearly and often. Lead with the human-in-the-loop commitment, promise training instead of testing, and answer hard questions honestly.

Ready to train your team? If you want help building a calm, confident AI conversation in your department, explore our supervisor training programs or reach out — we'd love to support you.

AI anxietysupervisor traininggovernment workforcehuman-in-the-loopstaff communication
LK

LaTonya Koonce

Founder, GovAI Education Group · City of Lilburn Merit Award Recipient

LaTonya has trained government teams for 20+ years and specializes in plain-language AI education for public-sector professionals. Learn more →