Navigating AI change at work: why the anxiety is a wellbeing issue

Adoption is racing ahead of readiness

The pace of change is not in doubt. Adoption has climbed to 54% of UK firms now actively using AI, according to the British Chambers of Commerce, 2026. The technology has gone from a minority interest to something more than half of firms rely on in some form.

The problem is that the rollout and the readiness are moving at very different speeds. Buying a tool takes a purchase order. Helping a workforce understand what it means for their role, their skills and their day takes something else entirely, and it is the part that keeps getting skipped. The result is a widening gap between how fast the technology is landing and how prepared people feel to work alongside it.

That gap is where the cost sits. It does not show up on the invoice for the software. It shows up in the meeting where nobody says what they are really thinking, in the workaround that quietly avoids the new system and in the capable person who has started polishing their CV because they are not sure where they fit any more.

Why the anxiety is a wellbeing issue, not an IT one

When AI worry gets raised, it tends to be handed to IT or to the project team running the tool. That is a mistake, because the anxiety is not really about the software. It is about what the software means for the person using it. Will my job still exist? Will I be able to keep up? Is the thing I am good at about to be automated? Those are wellbeing questions, and they do not get answered by a better user interface.

The scale of the worry is easy to underestimate from the top. The Access Group AI Workplace Report, carried out by YouGov in December 2025, found that 41% of employees fear AI’s impact on their jobs, compared with just 25% of HR leaders. That gap is the whole problem in a single line. The people planning the change think it is roughly half as worrying as the people living through it actually feel it to be.

The fear is concrete, not vague. Acas, 2025, found that 26% of employees fear AI will lead to job losses. When a quarter of your workforce is quietly wondering whether the technology is there to help them or to replace them, that is not a training-uptake issue or an IT ticket. It is a wellbeing issue, and it belongs with the people whose job is the human side of change.

Why leaders underestimate it, and why that makes it worse

Leaders are not being careless. They are closer to the strategy, they can see the upside and they often use the tools with a confidence the wider workforce has not had the chance to build yet. From where they sit, the change looks exciting. From further down, where the detail is thinner and the stakes feel personal, the same change looks like a threat with no explanation attached.

Uncertainty is the fuel. People do not need the answer to be good, they need there to be an answer. When the communication is patchy and the plan is unclear, the imagination fills the silence, and it rarely fills it with reassurance. This is how a well-intentioned rollout ends up generating resistance. Not because the technology is bad, but because the change was done to people rather than with them.

The worry is not only about jobs, either. The EY Work Reimagined Survey, 2025, found that 43% of UK employees worry that overreliance on AI could erode their skills and expertise. People are anxious about being deskilled, about the craft they have built being quietly hollowed out. And the trust is fragile in both directions. The CIPD, 2025, found that only 1% of people trust AI to make significant decisions at work, while 63% would trust it for insights but not decisions. People are not refusing the technology outright. They want a clear, honest sense of where it stops and where their judgement still counts.

Left alone, this is the mechanism that stalls the rollout. The anxiety becomes disengagement, the disengagement becomes quiet resistance and the resistance slows the adoption the whole exercise was meant to accelerate. The technology was never the hard part. The change was.

What practical support actually looks like

The answer is not another tool or another all-staff email. It is helping the whole workforce understand the change, normalise the emotional response to it, find their role in it and know where to get support. That is a wellbeing and change-readiness job, and it is very doable. Here is what it looks like in practice.

• Explain the why, not just the what. Uncertainty is the fuel for anxiety, and context and honesty put it out. People can handle a hard truth far better than a silence they have to fill themselves.
• Normalise the emotional curve of change. Scepticism, worry and frustration are normal stages of adjusting to change, not a bad attitude. Naming them out loud defuses them and gives people permission to move through them.
• Give the whole workforce a shared session and a shared language. Not just the leadership team. When everyone has heard the same thing at the same time, the rumour mill goes quiet and people have the words to talk about the change constructively.
• Equip managers to hold the conversations. Managers field the questions and the worry first, often before anyone in HR hears about it. Pair the whole-workforce session with a manager-level session so they are ready rather than caught out.
• Give people a route to raise concerns and get support. When there is a constructive channel for the worry, and people know where to turn, that energy becomes engagement rather than quiet resistance.

None of this requires the workforce to become AI experts, and none of it slows the rollout down. It does the opposite. A short, shared session that names the anxiety, explains the change and points people to support is often the fastest way to get a rollout to actually land, because it removes the human friction that was quietly holding it back. This is exactly what our Navigating AI Change at Work session is built to do.