AI is rapidly becoming part of everyday working life in the UK and beyond, with 78% of organisations now using AI in at least one business function. Yet despite widespread adoption, many organisations are still struggling to realise meaningful value from their investments.
According to recent research, a defining trend for 2026 is that while AI adoption is accelerating, the real challenge is whether organisations are truly preparing their people for an AI-driven workplace.
The report offers a data-driven perspective on the year ahead, drawing on the proprietary studies and surveys of frontline workers.
Keys to successful AI adoption
To succeed in the next phase of AI adoption, organisations must focus on three key priorities:
- Lead with clear communication
Effective implementation of AI has less to do with the technology, and more to do with people. Many employees are uncertain about why AI is being introduced and how it will affect their roles. In fact, 53% of organisations have not said anything about how AI will impact frontline jobs at their company, according to a study of AI and the frontline worker.
This uncertainty matters. Close to two-thirds (65%) of UK frontline workers worry that AI could replace their jobs, so clear communication is essential. Employers should be transparent about why the technology is being introduced and set realistic expectations about what it can and cannot do. This openness helps employees understand and trust the technology and remain confident in their own uniquely human skills, like creativity and critical thinking.
- Close the AI training gap
Despite fears that AI could fill their jobs, 47% of UK workers feel positive about using AI to work more efficiently. Yet nearly the same number (49%) feel their employer is not preparing them with the tools, support, and training they need for an AI-driven workplace.
Training and communication play a central role in closing that gap. Without clear guidance, many workers are left to navigate AI tools alone, undermining confidence and limiting impact. Companies should invest in AI-specific upskilling to drive stronger engagement and productivity gains.
- Automate where it counts
Using AI to remove friction from everyday work rather than replace human decision-making will amplify its adoption and impact. Frontline employees – workers who need to be physically present to do their customer-facing or operational jobs – are particularly optimistic about using AI for time-consuming administrative tasks such as managing schedules or handling routine queries.
Three out of four frontline employees would trust AI to handle certain tasks, according to UKG’s global data but only one in three in the UK are currently using AI to support them at work.
Clearly, there is significant room for improvement. Automating these “joyless” tasks creates space for more meaningful human work, from customer service to problem-solving and innovation.
AI at work: Frontline reality check
Frontline workers feel the real‑world impact of AI first. They directly experience how AI changes workflows, service delivery, decision‑making, and task load. If AI isn’t implemented with their realities and pain points in mind, organisations risk missing their productivity and engagement targets.
Consequently, understanding frontline sentiment towards AI is essential to enhancing the technology’s real impact. Notably, frontline workers who use AI the most are actually less burned out. In a 10-country study of 8,200 employees, overall burnout remains high, yet workers using AI reported 41% burnout vs. 54% among those not using AI. This meaningful difference points to AI’s value in reducing friction when embedded into everyday tasks.
Even so, anxiety persists. Two in three frontline workers worry AI might replace their job, and 85% say replacing frontline roles with AI would be a “huge mistake.” In fact, one in four report that part of their job has already been replaced by AI, and one in five believe their job could be fully replaced within five years. These findings underscore why clear communication and trustworthy use-cases matter.
When organisations show employees how AI helps tangibly with real work, trust rises. Frontline employees say they are comfortable using AI for practical employee-experience tasks, from searching handbooks and summarising policies to recommending schedules aligned to preferences and helping people understand benefits.
Driving real results in 2026 – the people-first AI imperative
As AI shifts from future ambition to everyday reality, the technology itself is no longer the source of competitive advantage. The organisations making real progress are those embedding AI into daily work in a way people understand and trust, while giving employees the training and support they need to use it well.
For UK organisations, the takeaway is simple. AI delivers the best results when it works for people – not in place of them.
