How AI can improve employee contentment as a quarter of UK employees plan to quit in 2025

This is an alarming figure for businesses that are struggling to retain their top talent and remain competitive during a time of financial crisis – especially since replacing an employee can now cost a business roughly 1.5 to 2 times their annual salary.

To address this challenge, many businesses are turning to artificial intelligence (AI).

In this article, we will discuss some of the ways that AI can be used to improve employee contentment and minimise turnover.

Why Are So Many UK Employees Unhappy at Work?

There are various reasons that an employee may be considering leaving their job in 2025, but employers who are struggling with a high turnover should be asking themselves what exactly is causing so many people to look elsewhere.

As we can see in the infographic below, the main reason for employees wishing to leave their role is the salary. With almost a third of people stating that their wage doesn’t meet their expectations, businesses need to reconsider their salary offerings. Since the UK cost of living has increased drastically over recent years, salary increases should be standard in line with the rate of inflation. Although this may seem like a struggle for many businesses, the costs associated with recruiting and training can quickly add up, so a balance needs to be found.

One of the other key contributors to a high employee turnover is high-stress levels. Now more than ever, people are taking steps to prevent burnout and there is a lot more awareness around mental wellbeing. If employees are continually battling tight deadlines, managing understaffed teams, or working late into the evening, they are quickly going to feel unhappy in their role.

A lack of recognition is another reason that employees struggle with contentment at work. This is arguably one of the easiest fixes for a business as a little can go a long way. If an employee feels like they are going above and beyond to achieve great results, a lack of acknowledgement can make them feel unappreciated. Gestures as small as being thanked in a meeting or given a gift as a token of appreciation when large wins are made can help an employee feel more motivated to keep up the good work.

4 Ways AI Can Be Used to Improve Employee Satisfaction

For businesses looking to retain talent and improve employee contentment in the workplace, here are four ways that they should be using AI:

1. Find development opportunities

Everybody has their own career goals, and if a business is not able to help an employee work towards these, they are more likely to look elsewhere.

AI tools can be used to create tailored development plans for each employee within a company. By analysing their performance data, current skill set, and the amount of time they’ve spent in a role, a business is able to identify ways to help them progress.

Whether this be a training course that can help them learn a new skill, internal mentorship opportunities to encourage departmental collaboration, or a promotion to acknowledge an employee’s progression within the company, using AI to identify these new opportunities can help people grow within their careers.

2. Automate repetitive tasks

Every job role comes with a certain number of monotonous tasks, but spending hours on hours carrying out mundane admin tasks can quickly leave employees feeling uninspired and bored with their job.

Nowadays, AI can be used to take on the repetitive tasks that were once eating up large chunks of time. By automating duties such as data entry, transcribing meetings, and scheduling meetings, time is freed up so employees can focus their efforts on the more important duties.

As well as saving endless time and money for the business, this is bound to create a more enjoyable work environment for employees. By working on more fulfilling tasks that require human interaction and ideation, people are much more likely to feel motivated at work.

3. Custom performance reviews

Performance reviews are an important part of any business. By giving employees the opportunity to discuss their progress, goals, and any areas they need to improve in, they are more likely to feel supported at work and be able to set professional goals to work towards.

Instead of using generic templates that lack inspiration or personalisation, AI can be used to design a tailored performance review meeting that records notes and sends reminders when another meeting is due.

Since the system keeps a record of all past performance reviews, progress can be monitored over time and both the employee and manager can check in to see if goals are being met.

4. Reduce heavy workloads

Nobody is designed to continually work at full capacity – in fact, a heavy workload can leave people feeling burnt out and completely disengaged.

AI tools have become a popular way to manage the workload of employees within a business. Since they are able to manage projects by assigning tasks and setting deadlines, every employee’s schedule is planned in accordance with their working hours. This prevents people from being overloaded with too much work.

As well as producing happier and more stress-free employees, this helps businesses prevent projects from being held up by unreasonable deadlines not being met.

Improving Employee Turnover With AI

The wellbeing of employees has become a huge focus in the corporate world and people are actively looking for new job opportunities if they are not content with their current role.

Utilising the capabilities of AI to find individual development opportunities, automate repetitive admin tasks, tailor performance reviews, and schedule manageable workloads will help create a better environment for employees to work in, building up a team culture that can withstand the test of time.

From a business perspective, making changes to create a strong company culture and improve job satisfaction is a worthwhile investment. By investing in the existing team and making an effort to retain talent, motivation is bound to see a natural increase and lead to a reduced turnover.