Guide · Your team and AI
AI anxiety at work: what it is, and what a team can change
AI anxiety is an everyday name for worry or unease about artificial intelligence: about learning to use it, about jobs, or about what it will do to the world. It describes a feeling, not a diagnosis, and it is common. Teams can ease the parts that come from work: unclear rules, no time to learn, and silence about jobs.
By Andrew Ward, Founder of ScorchsoftChecked 10 minute read
In short
- Feeling uneasy about AI is common and reasonable: in 2026, 62% of people in Britain said AI products and services make them nervous, against a 32-country average of 50% (Ipsos).
- Two of the worries researchers describe are ones a team can do something about: worry about not being able to learn it, and worry about jobs.
- Make learning safe: time set aside, small first steps, plain rules on what’s allowed, and nobody judged by how much AI they use.
- If worry about AI, or anything else, is affecting your sleep, health or life outside work, talk to someone: your employee assistance programme if you have one, your GP, or Mind.
Written for: Managers and team leaders in UK organisations, and anyone who feels uneasy about AI at work.
What is AI anxiety?
AI anxiety is worry, unease or fear about artificial intelligence and what it means for you. It is a description of how people feel, not a medical condition, and it can sit alongside curiosity or even enthusiasm.
The word “anxiety” has an everyday meaning and a clinical one. This guide uses the everyday meaning: the uneasy feeling many people have when a new technology arrives quickly, nobody explains it well, and it seems to touch their job. It isn’t about anxiety disorders, which are health conditions that only a qualified professional can assess. If you think that might be what you are experiencing, the last section of this guide says where to go.
Most people don’t feel one simple thing about AI. In the UK, Henley Business School found that 58% of full-time workers felt optimistic about AI at work, while 61% felt overwhelmed by the pace of its development (2,900 workers, June 2026). Both can be true of the same person on the same day. A team that expects mixed feelings, and says so, makes it easier for people to admit the uneasy half.
How common is AI anxiety in the UK?
Common. UK surveys from 2026 find more people nervous about AI than excited by it, most workers overwhelmed by its pace, and a large minority worried about their jobs. People in Britain are more cautious than the international average.
| What was measured | Figure | Who was asked, and when | Source |
|---|---|---|---|
| Say AI products and services make them nervous | 62% (32-country average 50%) | People in Britain, in Ipsos’s 32-country AI Monitor 2026 (published 25 June 2026) | Ipsos UK |
| Say AI products and services make them excited | 29% (average 51%) | As above | Ipsos UK |
| Feel overwhelmed by the pace of AI development | 61% | 2,900 UK full-time workers in 29 sectors (published 4 June 2026) | Henley Business School |
| Say their employer has no AI guidelines, or aren’t sure | 60% | As above | Henley Business School |
| Fear AI will replace their role | 36% (44% of Generation Z) | As above | Henley Business School |
One figure stands out for managers: six in ten workers in Henley’s survey said their employer had no AI guidelines, or that they didn’t know of any. Uncertainty about what’s allowed is one of the simplest causes of unease to remove.
What are people actually worried about?
Researchers who built a questionnaire to measure AI anxiety found four kinds of worry: about learning to use AI, about being replaced at work, about what AI will do to society, and about AI that looks or acts human. The first two are the ones a team can do most about.
In a study published online in 2019 and in print in 2022, Yu-Yin Wang and Yi-Shun Wang developed and tested an AI anxiety scale with 301 respondents, in the journal Interactive Learning Environments. It is a way of measuring a feeling in research, not a test for a condition, and its respondents weren’t a sample of UK workers. But its four headings are a useful way to sort what people tell you.
| Kind of worry | What it can sound like | Can a team change it? |
|---|---|---|
| Learning | “I won’t be able to keep up.” “Everyone else seems to get it.” | Yes, a lot: time to learn, small steps, a safe place to ask |
| Job replacement | “Is this coming for my job?” | Partly: honest information, and saying what saved time is for |
| Sociotechnical blindness (what AI will do to the world) | “Where is all this going?” | A little: a calm conversation, and room for different views |
| AI configuration (AI that seems human) | “It’s unsettling that it talks like a person.” | A little: explain what the tool is and isn’t |
Notice what isn’t on the list: “being bad with technology”. Worry about learning isn’t a fixed trait. It usually eases once someone has used a tool safely a few times and seen that it can be checked, corrected and switched off.
What can a team change?
Make learning safe and make the rules clear. Give people time to try AI on low-stakes work, say plainly what’s allowed, talk honestly about jobs, and never judge anyone by how much AI they use. None of this needs a budget.
Step 1: Say what’s allowed (owner: the manager, with whoever looks after data protection)
Write down which AI tools are approved and what information may go into them. The AI Stairway™ teaches a simple version called the tramlines: green for go, amber for care or approval, red for don’t. If people are already using their own tools quietly, our shadow AI guide explains how to bring that into the open without blame.
Step 2: Set aside time to learn (owner: the manager)
Half an hour a week, protected, is worth more than a mandate. Suggest a first task where a mistake costs nothing, such as rewording an email you’d check anyway, so the first experience is a small success, not a test. The free introductory module of The AI Stairway™, Know Your AI Blind Spots, takes about 22 minutes and works the same way.
Step 3: Talk about jobs before people have to ask (owner: the manager or owner)
Say what the evidence shows, what nobody knows, and what the organisation will do with any time AI saves. Our guide Will AI take my job? has the evidence and a short script.
Step 4: Make mistakes safe to share (owner: everyone, led by the manager)
In a short show-and-tell, ask for one thing AI got wrong and how it was caught. When the manager goes first with their own mistake, others follow. Peer AI champions can help here, if they have the time; see our AI champions guide.
The one thing not to do
Don’t judge people by how much AI they use, or set usage targets. It turns a tool into a test, rewards using AI for its own sake, and makes the people who are already uneasy hide that they are struggling. Judge the work, not the tool.
How do you talk to a colleague who is worried about AI?
Listen first and take the worry seriously. Ask what in particular concerns them, answer honestly what you can, admit what you can’t, and agree one small next step together. Don’t tell them not to worry, and don’t guess at their health.
A short conversation you can adapt (owner: the line manager)
- “Lots of people feel uneasy about AI. What’s on your mind about it?”
- “Is it more about learning the tools, about what it means for your job, or something else?”
- “Here’s what I know, and here’s what I don’t.” Then say both, honestly.
- “What would make it easier? Time, a colleague to try it with, clearer rules?”
- “Let’s agree one small thing to try this week, and talk again next week.”
Funmi is a senior care coordinator at a domiciliary care provider of about 120 staff. She has seen colleagues use AI on their phones and feels both curious and uneasy: “Am I even allowed? What if I put something in I shouldn’t?” Her manager, Shona, doesn’t tell her not to worry. She shows Funmi the provider’s one-page rule, which says the details of the people they support never go into AI tools, and sits with her for twenty minutes while Funmi uses the approved tool to tidy the wording of a rota reminder with no names in it. The worry about learning eases. The worry about doing harm turns into a habit: check what’s going in before it goes.
Stay in your role. A manager’s job is to listen, fix what is within the team’s control and point to support. It isn’t to diagnose, counsel or decide what someone is “really” feeling. Acas, the workplace advice service, says the same of conversations about mental health: talk in private, listen carefully, use open questions, and arrange to follow up if the concern continues. It adds that managers aren’t expected to be mental health experts. If the worry is about the pace of work rather than AI itself, see our guide to AI fatigue. Module 7 of The AI Stairway™ practises answering a worried colleague, with the course’s invented cast.
Where can you get support?
If worry about AI, or about work generally, is affecting your sleep, health or life outside work, talk to someone. Start with your employee assistance programme if your employer has one, your GP, or Mind’s information on work and stress. In an emergency, call 999.
- Your employee assistance programme (EAP). Many employers offer one: a confidential phone line and short-term counselling. Ask HR or check your staff handbook.
- Your GP. For help with stress, worry or low mood that isn’t going away.
- NHS talking therapies. In England, you can refer yourself for anxiety and depression, and the NHS says you don’t need a diagnosed condition to do so. See NHS mental health services (opens in a new tab).
- Mind. The mental health charity has plain information on work and stress (opens in a new tab), including the causes of stress at work and how to look after yourself.
- Urgent help. If you need urgent help for your mental health, use NHS 111 online or call 111. If you or someone else is in danger, call 999. Samaritans (opens in a new tab) are there 24 hours a day on 116 123, free.
What this page is and isn’t
This guide is practical information for workplaces. It isn’t therapy, medical advice or a substitute for talking to a qualified professional. If you’re a manager, your HR team or adviser can tell you what your organisation already offers.
Questions people ask
Is AI anxiety a real condition?
It isn’t a medical diagnosis. It is a name for a common set of feelings about AI, used in research and in everyday speech. Researchers have built questionnaires to measure it, which shows it is a real experience worth taking seriously, not that it is an illness.
Is it normal to feel anxious about AI at work?
Yes. In 2026, 62% of people in Britain told Ipsos that AI products and services make them nervous, and 61% of UK full-time workers told Henley Business School they felt overwhelmed by the pace of AI development. Feeling uneasy about a fast change that touches your work is a reasonable response.
How do I stop worrying that AI will replace me?
Start with what the evidence says. A Stanford study (US payroll data to June 2026) found no sign of widespread job losses from AI so far, but fewer jobs for workers aged 22 to 25 in the roles most exposed to AI. Then focus on the part of your work AI makes more valuable, owning the result and checking the work. Our guide Will AI take my job? goes through it.
I’m worried I can’t learn it. Where do I start?
With one small task you’d check anyway, in a tool your employer has approved, with nothing private in it. Short, low-stakes practice is how most people get comfortable. The introductory module of The AI Stairway™ works the same way, starting with your own habits.
Should managers ask staff how they feel about AI?
Yes, if the answers can be given safely. An anonymous question or two, kept separate from performance reviews, tells you whether the worry is about learning, jobs, rules or pace, which points to different fixes. Never use answers to judge individuals.
Find your own AI blind spots
Know Your AI Blind Spots is the free introductory module of The AI Stairway™: about 22 minutes, on your phone or desktop, with three fixes you try in your own AI tool.
Start freeSources
Every figure on this page comes from one of these. Links open in a new tab.
- The British reserve: navigating the AI transition with caution (Ipsos AI Monitor 2026) (opens in a new tab). Ipsos UK, 25 June 2026.
- Hype versus reality: a 12-month AI pulse check (opens in a new tab). Henley Business School, 4 June 2026.
- Development and validation of an artificial intelligence anxiety scale: an initial application in predicting motivated learning behavior (Wang and Wang), Interactive Learning Environments 30(4), 619–634 (opens in a new tab). Taylor & Francis, online 14 October 2019; in print 2022.
- Insights into the relationship between anxiety and attitudes toward artificial intelligence among nursing students (Ayed and others), BMC Nursing 24; uses Wang and Wang’s scale and names its four constructs (opens in a new tab). BMC Nursing (Springer Nature), 1 July 2025.
- Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence (opens in a new tab). Stanford Digital Economy Lab (Brynjolfsson, Chandar and Chen), revised 12 August 2026.
- Talking about mental health (Supporting mental health at work) (opens in a new tab). Acas, updated 16 January 2025.
- Mental health services (opens in a new tab). NHS, read 29 October 2026.
- Work and stress (opens in a new tab). Mind, read 29 October 2026.
- Samaritans: contact us (opens in a new tab). Samaritans, read 29 October 2026.