AI Adoption Found To Reduce Burnout For Frontline Workers
A survey of 8,200 frontline employees, conducted by UKG in collaboration with Workplace Intelligence, has found that the use of artificial intelligence (AI) by frontline workers is linked with reduced burnout, but it also generates anxiety about job security and workplace dynamics.
Survey: Reduction in Burnout
Frontline workers, who constitute approximately 80% of the global workforce and are essential in roles requiring physical presence, such as manufacturing, healthcare, retail, and logistics, have historically reported high levels of burnout. Despite steady burnout rates hovering around 76% over time, the survey found a significant change in burnout rates with considerable ramifications in terms of the future of work: over one-third of these employees now use AI in their daily tasks, and those leveraging AI report a markedly lower burnout rate (41%) compared to their counterparts who do not use the technology (a 54% burnout rate).
Benefits of AI Adoption
The benefits of AI integration are clear: many frontline workers feel empowered when AI is used thoughtfully to automate menial tasks, streamline HR processes, schedule management, or provide recommendations for training and career advancement. In fact, large proportions trust AI to manage workplace tasks like summarizing company policies (81%), recommending work schedules (80%), and helping with benefits (79%). Optimism about AI's potential is particularly high in countries such as India (84% adoption), followed by Mexico and Australia.
Job Security Anxiety
However, this optimism is tempered by considerable apprehension. Two-thirds of respondents worry that AI may ultimately replace their jobs; a quarter have already experienced parts of their roles being automated. Moreover, 65% fear that colleagues with stronger AI skills could outcompete them for employment. This anxiety has prompted nearly half of frontline workers to take proactive steps such as upskilling or working extra hours, even while sick, to demonstrate their value to employers.
The research also underscores a critical need for transparent communication from management. Employees express concerns about being compelled to use AI in ways that lack clarity or relevance; one-third would consider quitting if forced into uncomfortable uses of AI, and one in four has lost trust in their employer due to fears about replacement.
Comment
Commenting upon the findings on burnout and AI adoption, The VP of AI at UKG, Corey Spencer, stated: "The irony, if done the right way, is that AI can empower people to do what they were meant to do. The global study shows that work needs to be done to better educate, train, and explain the ‘why’ behind AI uses on the frontline. It’s about AI and frontline employees working together to move from menial to meaningful work. When AI is deployed with a people-first focus, it doesn’t feel like you’re using technology - it feels like you’re solving problems."
Trust and Training: The Evolving Role of AI in UK Workplaces
New research by SnapLogic highlights a significant shift in workplace dynamics, with managers now expressing greater trust in AI than in junior employees / interns.
According to the new report, 81% of surveyed workers are already integrating AI tools into their daily tasks, with more than half using them to boost efficiency. However, a notable stigma persists, with 43% of employees worrying that relying upon AI is perceived as lazy or unreliable, and nearly a quarter feeling judged for adopting these technologies.
Despite these concerns, trust in AI is growing. Employees view AI as being almost as competent as their human colleagues, and over half believe future roles will involve managing AI rather than people. Many anticipate that overseeing AI agents will be simpler than supervising humans, and nearly half expect to be managed by AI themselves one day.
A key challenge remains in terms of insufficient training: only 36% have received formal instruction on using AI tools, while most rely on self-learning. This gap raises issues around data security and privacy, both top priorities for staff. Interestingly, senior leaders are far more confident with AI technology than non-managers, suggesting a divide in readiness across organisational levels.
