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AI can automate work, but it can’t automate trust

AI can automate work, but it can’t automate trust

AI can automate work, but it can’t automate trust

Businesses are moving quickly to bring artificial intelligence (AI) into the workplace, exploring how it can support everything from recruitment and workforce planning to performance management and employee services.

Employee confidence in this technology, however, is struggling to keep up. Research suggests only 46% of people say they trust AI systems, while almost a third (31%) of employees are concerned they could be replaced by AI.

As AI becomes more involved in decisions around hiring, performance, and progression, employees are asking more questions about how those tools are being used and where the boundaries should sit. Without confidence in how AI is integrated into these processes, even the most promising AI initiatives can struggle to gain acceptance.

Employees aren’t necessarily resistant to AI

There is often an assumption that employees are reluctant to embrace AI. But in reality, many workers would welcome technology that helps tackle the admin burdens or tedious tasks that consume their time each day.

European employees lose an average of 15 hours every week to administrative tasks. Only 43% say they spend most of their working day focused on work that delivers direct value, while more than a quarter (26%) say they’re spending most of their time on administration outside their core role.

That helps explain why AI is attracting so much interest in the workplace. Used well, it can automate repetitive tasks, simplify processes, and make it easier for employees to access the information they need.

Employees do not necessarily want technology to do their jobs for them. They want more time to focus on the work they were hired to do. Almost three in 10 (29%) of employees say they would enjoy their job more if they had greater freedom to focus on creative work.

The challenge is that discussions around AI are no longer limited to productivity. As organisations introduce AI into more workplace processes, employees naturally want to understand what role it is playing and what influence it has over decisions that affect them.

Clear boundaries build confidence

Recent headlines have done little to ease those concerns. Stories involving AI analysis of workplace communications and AI-enabled employee monitoring have prompted wider discussions about where organisations should draw the line. While these examples do not reflect every organisation’s approach, they have contributed to growing uncertainty about how AI could be used in the workplace.

Those concerns become even more pronounced when AI moves closer to areas such as hiring, performance management, and career progression. Most employees are comfortable with AI helping them complete a task, find information or reduce administrative work. They become less comfortable when they are unsure how much influence the technology has over decisions that shape their careers.

This is why businesses need to be clear about where AI fits into workplace decision-making. Employees should understand where AI is supporting decisions, where human judgement remains essential and who is ultimately accountable for outcomes.

AI can help identify patterns, analyse information, and provide recommendations. It can help managers make better-informed decisions and reduce administrative effort. Responsibility for decisions that affect an individual’s career, development or wellbeing, however, should remain with people.

The clearer organisations are about where AI supports work and where people remain accountable, the easier it is for employees to feel confident about its role in the workplace.

Bringing employees into the conversation

Employees are more likely to embrace new technology when they understand how it works, why it is being introduced and how it can help them in their role.

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That means businesses need to invest in communication, training and skills development alongside technology deployment. Employees should have opportunities to learn, experiment, and develop confidence in using AI themselves.

This is particularly important at a time when concerns about replacement remain widespread. People are far more likely to view AI positively when they see it helping them become more productive, develop new skills or spend more time on higher value work.

The conversation should not simply focus on what AI can do but also focus on how employees can work alongside it.

Trust has to be earned

AI has enormous potential to improve employee experience and reduce the administrative burden that continues to frustrate many workers. But successful adoption depends on more than introducing new technology.

Employees do not need every answer about AI, but they do need honesty about where it is being used, where decisions remain human and what role they have in the process.

Ultimately, confidence is built when employees can see that technology is helping them do their jobs better, not quietly making decisions on their behalf. AI can automate work, but building trust still requires people.

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