AI, overload and the growing threat to workplace performance  

Artificial intelligence is rapidly becoming embedded in UK workplaces, positioned as both a productivity driver and a competitive necessity. But as adoption accelerates, a more complex picture is emerging, one that raises questions not just about output, but about the human cost of sustaining it. 

Across organisations, AI is not simply changing how work gets done. It is reshaping how people think, make decisions and manage their mental energy throughout the working day. 

At the same time, employers are facing growing pressure across compliance, cost and culture. Regulation is tightening around the use of AI in HR systems, particularly those deemed “high risk”, requiring greater transparency, auditability and human oversight. This places workplace wellbeing and HR technology under increasing scrutiny, while reinforcing their role as both a risk management and performance lever. 

Evidence consistently shows that employee wellbeing is directly linked to business outcomes. Research, recently featured on The Well Crowd suggests happier employees can be up to 12 per cent more productive and significantly less likely to leave. Yet the way work is being redesigned through AI may be placing increasing strain on the very systems that enable that performance. 

A new form of workplace strain 

One of the most immediate shifts is the volume of information employees are now expected to process. Natalie Mackenzie, a specialist in cognitive and brain health, who works as a cognitive strategist for professionals and leaders, explains: 

“AI tools are usually introduced with the promise of efficiency and increased productivity. In theory, they reduce repetitive work, provide useful insights and help people get things done faster. In practice, many workplaces are experiencing something slightly different. This is showing up as a growing layer of cognitive load that nobody planned for. 

“Every new system requires attention. Every prompt, dashboard, notification and workflow requires the brain to interpret information and decide what to do with it. When organisations introduce multiple tools at once, employees can find themselves managing a constant stream of inputs rather than focusing on the work itself. 

“The brain has a limited capacity for working memory and attentional control. When too many inputs compete for that space, people start to feel mentally stretched by technology rather than supported by it. They are no longer just doing their jobs but managing the digital environment around them as an additional task.” 

This reflects a wider shift across UK workplaces, where change is no longer occasional but constant. AI is accelerating that pace, increasing both output expectations and the mental effort required to keep up. 

More information, more decisions 

Alongside cognitive overload, decision fatigue is becoming a growing workplace risk. 

Mackenzie adds: “One of the defining features of AI systems is their ability to generate large volumes of information, suggestions and options. Every one of those outputs still requires a human brain to evaluate it. 

“Employees are now reviewing multiple AI-generated recommendations, summaries and drafts before they can act. The responsibility for deciding what is correct or appropriate has not changed. What has changed is the volume of material they must process to get there. In that sense, AI often shifts cognitive work rather than reduces it.” 

For employers, this creates a disconnect. Efficiency gains at a system level do not necessarily translate into reduced effort at an individual level. 

The productivity paradox 

The tension between performance and wellbeing is becoming harder to ignore. 

Findings from the Happiness Dividend report show that improvements in employee happiness are associated with an 18 per cent increase in productivity and a 21 per cent rise in profitability. Yet only around half of UK employees report being happy at work. 

As organisations invest in AI to drive efficiency, there is a risk they simultaneously increase performance expectations without addressing the human conditions required to sustain them. 

Sarah Moulton, Chief People and Transformation Officer at London-based office provider, Argyll, says the conversation needs to go beyond technology: 

“Artificial intelligence is quickly becoming part of the workplace wellbeing conversation. For HR and business leaders, this presents both opportunity and responsibility. AI has the potential to improve how organisations understand and support employee wellbeing, but it also raises an important question: how do we use technology in ways that strengthen human experience rather than dilute it? That balance matters.” 

AI, learning and the transformation challenge 

The impact of AI is also being felt in how organisations approach skills, learning and workforce transformation. 

David Blake, CEO and co-founder of education and skills platform Degreed, says the shift is structural: 

“For the first time, companies stopped treating learning, talent and technology as separate conversations. They became one shared agenda.” 

He argues that AI has accelerated the pace of change beyond traditional organisational capacity to respond: 

“The question has shifted from ‘Should we?’ to ‘How fast can we?’ and that speed will define 2026.” 

Blake also reinforces the human constraint at the centre of this transformation: 

“Transformation is a human story. Technology may spark it, but people make the change real.” 

This has direct implications for workplace wellbeing. As learning becomes embedded into the flow of work and AI expands what employees are expected to do, the pressure on cognitive capacity, confidence and adaptability continues to rise. 

Blake highlights a critical emerging risk: 

“The biggest skill gap in 2026 won’t be capability, it will be confidence. AI will dramatically expand what people can do, but many won’t believe they can do it.” 

For employers, this links directly to wellbeing, engagement and performance. Without the right support, increased capability can quickly translate into increased pressure. 

AI as both pressure and support 

While AI is contributing to cognitive strain, it is also creating new opportunities for organisations to strengthen wellbeing, particularly for HR teams operating under increasing pressure. 

Moulton adds: “Across many organisations, the barrier to effective wellbeing support is rarely intent. The challenge is often capacity. HR teams are balancing complex priorities, managers are under pressure and early signs of strain can be difficult to spot before they become bigger issues. This is where AI can add genuine value.” 

AI is already being used to analyse employee feedback, absence patterns and engagement data, helping organisations identify emerging risks earlier. It is also improving access to support by guiding employees towards relevant wellbeing resources and simplifying navigation of benefits. 

At the same time, this growing reliance on data-driven systems increases the importance of trust, transparency and governance. 

“Wellbeing depends on employees feeling psychologically safe and respected,” Moulton adds. “If AI tools are introduced in ways that feel intrusive or unclear, confidence can quickly erode.” 

A human limit in a machine-driven world 

As AI adoption accelerates, organisations are being forced to confront a fundamental constraint: human cognitive capacity. 

Leaders are now balancing three competing pressures: regulatory compliance, rising cost and the need to improve culture and retention. Within this context, workplace wellbeing is no longer a peripheral benefit. It is increasingly being positioned as a way to reduce absence, manage risk and improve performance. 

But there are limits to what technology can solve. 

“Technology can support wellbeing, but it cannot compensate for unhealthy work,” Moulton says. “If excessive workload, poor leadership or unclear expectations are the underlying drivers of stress, no AI tool will solve the problem.” 

Rethinking productivity 

AI is reshaping the workplace at speed. But it is also exposing a critical truth. Productivity is not just a function of systems and tools. It depends on attention, energy and human judgement. 

For UK employers, the challenge is no longer whether AI can improve performance. It is whether that performance can be sustained without increasing cognitive strain, decision fatigue and burnout. 

Those that succeed will be the organisations that design work around both technological capability and human limits. Because while AI may define the future of work, it is still people who determine whether that future works in practice