Organisations are under pressure to adopt AI to take advantage of new opportunities for innovation, productivity, and growth. But while AI acceptance is rising among the workforce, the technology’s transformational nature is also fuelling increased anxiety about jobs, skills, and the future of work.
This is a growing challenge for leaders, who are having to balance their organisation’s AI ambitions with different levels of employee readiness. For leaders, this is not just about making the right AI investment decisions. They must prepare employees for new ways of working and give them the confidence to use AI effectively. Without that support, organisations risk undermining the very productivity, innovation and growth their AI investments are intended to deliver.
The workforce is ready, but are organisations?
Worker confidence in keeping up with AI is on the rise, with 58% of respondents in a Henley Business School AI pulse check survey feeling confident in their ability to keep pace. Yet 61% still feel overwhelmed by the speed of change.
The apparent contradiction points to a wider challenge: employees may be willing to embrace AI, but many are not getting the support or clarity they need from their organisations. Only 57% say their employer provides enough support to use AI effectively, while 60% say their organisation either lacks guidelines for AI use or they are unsure whether any exist.
“As people are getting more experienced and confident using AI, they think they can do more with it,” says Professor Keiichi Nakata, Director of AI and Automation at Henley Business School’s World of Work Institute. “At the same time, they feel their organisations are not keeping up. So there’s a sense of frustration among people: we can do all sorts of things with AI, but organisations are not really giving us enough guidance on that.”
When organisations fail to provide that clarity, they leave themselves exposed to fragmented AI adoption, with employees deciding for themselves when and how to use the technology. This guidance vacuum can lead to inconsistent working practices, security and governance gaps, and AI investments that fail to deliver their intended value. It can also fuel shadow AI, as employees turn to accessible but unauthorised tools to get their work done.
AI acceptance is rising, but so are concerns
Workers’ growing acceptance of AI does not mean their concerns have disappeared. Henley’s research identifies three persistent worries: becoming overly reliant on AI, losing skills over time, and the potential impact on job security. Despite these fears, 58% remain optimistic about AI at work, highlighting the complex relationship employees are developing with the technology.
Employers cannot assume that growing acceptance will resolve these concerns on its own. Employees need clarity about how AI will affect their work and opportunities to develop the capabilities they will need as their roles evolve.
“It’s not just about AI skills training. Organisations also need to look at training to maintain critical thinking and other personal development aspects in conjunction with AI use,” says Nakata.
For employers, that means taking a broader view of workforce development as AI becomes more embedded in the workplace. Building employees’ confidence and capability with the technology should go hand in hand with maintaining critical thinking and supporting their wider professional development. Businesses that equate AI readiness with technical proficiency alone risk creating new capability gaps elsewhere in their workforce.
Personalising AI enablement
Henley’s research also reveals clear generational differences in how employees perceive AI, reinforcing why AI support is not just a tick-box exercise and why organisations should avoid a one-size-fits-all approach. Younger workers are more comfortable with the prospect of AI-led management, yet also express greater concern about losing their jobs to the technology. Older employees show the opposite pattern: they are less fearful about job security but less comfortable being managed or directed by AI systems.
But age only tells part of the story. “This is not just about generational difference – some people are naturally more confident and some people less confident – so by focusing too much on generational differences, organisations might lose sight of broader confidence levels,” says Nakata.
For businesses, the priority is understanding where those differences in readiness lie across the workforce. Support should reflect employees’ confidence levels, skills, and roles, with organisations identifying capability gaps and creating development pathways that address differing needs.
Understanding those differing needs should also inform how organisations design work as AI becomes more embedded in employees’ roles. “We need to think about the work first, and then think about how AI fits into it,” says Nakata. Starting with the technology risks designing work around AI instead of identifying where it can genuinely add value.
Organisations should co-design new ways of working that bring people and AI together, helping employees understand how the technology complements their expertise and where it can add value. Clearly defining the respective roles of people and AI can reduce uncertainty and build confidence in new ways of working.
Trust will determine successful AI adoption
Leaders also have a critical role to play in building trust around AI, and employees’ attitudes towards the technology are closely tied to how much they trust their employer. While 61% of respondents trust their organisation to take their interests into account when introducing AI, Nakata warns that technology can magnify existing weaknesses in that relationship.
“If people don’t trust their organisation, then AI will amplify the distrust; therefore, leaders should be thinking about how they gain trust from employees more generally, and AI will follow,” he says.
As AI curiosity increases, leaders need to create environments where employees can ask questions, raise concerns, and experiment without fear of punishment. That requires clear and consistent guidance on where AI can be used, where its limits lie, and what responsible experimentation looks like. Without that clarity, organisations risk asking employees to embrace a technology while leaving them to navigate its implications alone.
AI adoption is therefore as much about people as it is about technology.
The organisations that realise the greatest value from AI will not be those that invest fastest. They will be those who give their people the skills, clarity, and confidence to use it well. As employee acceptance grows, businesses have an opportunity to turn that willingness into meaningful adoption — but only if workforce support keeps pace with their AI ambitions.
Discover more about Henley Business School’s latest AI workforce insights and explore how leaders can build the skills, confidence and organisational readiness needed for AI-enabled work.
Organisations are under pressure to adopt AI to take advantage of new opportunities for innovation, productivity, and growth. But while AI acceptance is rising among the workforce, the technology's transformational nature is also fuelling increased anxiety about jobs, skills, and the future of work.
This is a growing challenge for leaders, who are having to balance their organisation’s AI ambitions with different levels of employee readiness. For leaders, this is not just about making the right AI investment decisions. They must prepare employees for new ways of working and give them the confidence to use AI effectively. Without that support, organisations risk undermining the very productivity, innovation and growth their AI investments are intended to deliver.
