Artificial intelligence is rapidly changing the way we work.
From writing emails and summarising meetings to analysing information, creating presentations and helping with everyday tasks, AI is becoming part of working life for more and more people.
For many employees, it can be a useful tool. It can save time, reduce repetitive tasks and help people get through workloads that might previously have taken considerably longer.
But there is another side to the conversation.
As AI becomes more embedded in the workplace, it is worth asking whether it could also introduce new pressures that affect our mental wellbeing.
Because while AI may make some aspects of work easier, it could also change expectations around productivity, availability and performance.
The question for employers isn’t simply “How can we use AI?”
It is also “How do we make sure AI helps people work better without creating a new source of workplace stress?”
The productivity paradox
One of the biggest attractions of AI is productivity.
If a task that previously took an hour can be completed in 20 minutes with the help of AI, that sounds like an obvious benefit.
But what happens to the remaining 40 minutes?
Ideally, it creates capacity. Employees have more time to focus on important work, problem-solving, creativity, collaboration or simply completing their day without feeling overwhelmed.
However, there is a potential alternative.
If completing work more quickly simply leads to more work being added, productivity gains may not translate into reduced pressure.
The expectation can gradually become:
“If AI helps you do that in half the time, you should be able to do twice as much.”
This could create a new productivity cycle where technology designed to make work easier inadvertently increases expectations.
The technology itself isn’t necessarily the problem. It is how organisations choose to use the additional capacity it creates.
AI and the pressure to keep up
There is also a learning curve.
Employees are increasingly being asked to understand new AI tools, adapt to changing systems and find ways to incorporate them into their roles.
For some people, this will be exciting.
For others, it may feel like another demand being added to an already busy working day.
There can also be a fear of falling behind.
If colleagues are using AI to complete tasks faster, an employee who isn’t confident using the technology may worry that their own performance will be judged against people who are.
This can create a different type of workplace pressure.
Instead of simply asking, “Am I doing my job well?”, employees may start asking:
“Am I using AI well enough?”
“Am I falling behind?”
“Will my role still be needed in the future?”
That uncertainty can be difficult to switch off from.
Job security and the fear of replacement
Perhaps the most obvious concern surrounding AI is employment.
AI is already capable of performing an increasing range of tasks, and there is considerable uncertainty about how different roles will change as the technology develops.
It is important not to assume that AI will simply replace large numbers of people. In many occupations, the more realistic outcome may be that AI changes tasks rather than eliminating entire jobs.
However, employees don’t necessarily need to face actual job losses to experience anxiety about the future.
Uncertainty itself can be stressful.
If someone doesn’t know how their role will look in two or five years, they may naturally worry about whether their skills will remain valuable.
For employers, communication becomes particularly important.
People are more likely to feel comfortable with technological change when they understand why it is happening, how it will affect them and what support will be available.
Silence can leave employees filling in the gaps themselves.
Is AI reducing workload or increasing it?
This is perhaps the most important question for workplace wellbeing.
Imagine an employee who previously spent several hours each week completing repetitive administrative tasks.
AI reduces that workload significantly.
There are two ways the organisation can respond.
The first is to use the additional capacity to allow the employee to focus on higher-value work, develop new skills or finish their working day with greater capacity.
The second is to fill that newly created capacity with additional tasks.
Both approaches increase productivity.
Only one necessarily improves the employee’s experience of work.
This is why organisations need to think carefully about what productivity actually means.
Productivity shouldn’t automatically mean more output from the same person in the same amount of time.
It could also mean better-quality work, fewer repetitive tasks, more creativity, improved customer service or simply creating a more sustainable working environment.
The mental load of constant optimisation
There is another potential issue that is easy to overlook.
AI can make it possible to constantly optimise how we work.
There is always another tool to try.
Another prompt to improve.
Another process to automate.
Another way to save five minutes.
This sounds positive, but it can contribute to the feeling that we should always be working smarter, faster and more efficiently.
For some employees, that can create a subtle but persistent pressure to optimise themselves.
The danger is that technology designed to save time ends up making people feel guilty about spending time on anything that isn’t maximally productive.
But people aren’t machines.
Conversation, reflection, creativity, learning and even periods of doing very little can all have value.
Not every minute of the working day needs to produce a measurable output.
AI doesn’t replace human connection
There is also a human side to the AI conversation.
Work provides more than a salary and for many people, colleagues provide social connection, support, humour and a sense of belonging.
If AI and automation reduce the amount of interaction employees have with other people, organisations need to consider what might be lost alongside the efficiency gains.
This doesn’t mean technology should be avoided.
It means we should be intentional about where technology is useful and where human interaction remains important.
A meeting doesn’t necessarily need to be replaced by an AI-generated summary.
A conversation with a colleague cannot always be replaced by a chatbot.
And a manager checking in with an employee should remain a human interaction.
Technology can support people.
It shouldn’t remove the human elements of work that contribute to wellbeing.
Managers have an important role
Managers will play an increasingly important role in helping employees adapt to AI.
This doesn’t necessarily mean managers need to become AI experts.
It means they need to understand how technological change may affect their teams.
Are employees confident using new systems?
Do they understand what is expected of them?
Are productivity expectations realistic?
Are people worried about their jobs?
Has AI genuinely reduced workload, or has it simply created capacity for more work?
Are employees still getting enough opportunities for collaboration and social connection?
These are wellbeing questions as much as technology questions.
Managers should also be aware that people will respond differently.
One employee may see AI as an exciting opportunity.
Another may see exactly the same development as a threat to their job.
Both reactions can be understandable.
The opportunity for better wellbeing
Despite these concerns, AI could ultimately provide significant opportunities for workplace wellbeing.
Used appropriately, it could reduce repetitive administration, support employees with difficult tasks, improve access to information and give people more time to focus on meaningful aspects of their roles.
It could also help reduce some of the workload that contributes to stress and burnout.
But those benefits aren’t automatic.
They depend on how organisations introduce and manage the technology.
The goal shouldn’t simply be to make employees work faster.
It should be to use technology to create better ways of working.
That might mean fewer repetitive tasks.
More time for creativity.
Better work-life boundaries.
Greater flexibility.
More opportunities for development.
Or simply less time spent doing work that adds little value.
The future of workplace wellbeing
AI is unlikely to disappear from the workplace. If anything, its influence will continue to grow.
That means workplace wellbeing needs to evolve alongside it.
The conversation should move beyond whether employees are using AI and towards understanding how AI is changing the experience of work.
Is it reducing pressure?
Is it increasing expectations?
Is it giving people greater control?
Is it creating uncertainty?
Is it improving job satisfaction?
Is it allowing employees to spend more time doing meaningful work?
Or are we simply using a powerful new technology to increase the amount of work expected from people?
There may not be one answer for every organisation or every employee.
But as AI becomes increasingly embedded in working life, one principle should remain central:
Technology should work for people, rather than people feeling that they have to work for the technology.
AI structured this insight, and you can tell. The technology is great for checking information and creating spreadsheets, however it can leave your work feeling clinical, and impersonal.
The most successful approach to AI and workplace wellbeing won’t necessarily be the organisation that adopts the most technology, it will be the one that understands how technology, people and the way work is designed need to work together.
Because ultimately, workplace wellbeing isn’t just about giving employees another tool.
It is about creating a working environment in which people can perform at their best without sacrificing their health, their relationships or their ability to switch off.