UK sectors divided as AI outpaces workforce skills

By Lauren Campbell 04/09/2026 3 min read 11 views

UK sectors are experiencing a growing divide between those ready to use artificial intelligence and those at risk of falling behind, despite rapid adoption across the country. New analysis from QA, the UK’s leading AI technology and digital skilling partner, suggests the issue is not simply about who has adopted the technology, but who has actually built the confidence and capability to use it effectively within their workforce. The findings echo wider research from the British Chambers of Commerce, which found 97% of UK organisations report at least one significant AI skills gap.

Technology and IT leads the country in measured AI adoption, while financial services shows the fastest growth since 2022. Professional services are advancing quickly through rapid generative AI uptake for drafting, research, and knowledge work. Manufacturing is advancing but driven primarily by skills shortages and labour gaps rather than efficiency gains alone, with over 40% of deployments aimed at plugging capability gaps rather than replacing them. In healthcare, the AI market continues to grow fast, yet separate research into frontline clinicians found 73% have never used AI in their own work, with fear of clinical error the leading barrier.

Practical steps to close the capability gap

To help organisations close this gap, Jo Bishenden, chief learning officer at QA, shared five practical steps for building AI capability across a workforce. The first step is to start with a realistic view of AI maturity in your sector. Every industry is moving at a different pace, so understanding your own starting point is vital before making decisions about where AI can deliver the greatest value. The second step is to not mistake adoption for capability. Introducing new AI tools is only one part of the story. Sustainable success comes from building the skills, confidence, and behaviours that enable people to use those tools effectively in their day-to-day roles.

In highly regulated and safety-critical environments, trust is fundamental. Employees, customers, and stakeholders need confidence that AI is being used responsibly, transparently, and with the right safeguards in place. For sectors with ongoing skills shortages, AI presents an opportunity to rethink workforce development. Used effectively, AI can help people build capability faster, reduce administrative burden, and focus on areas where human expertise adds the most value. The final step is to keep measuring capability, not just rollout. The real measure of progress isn’t how many people have access to AI, but how effectively they’re using it. Organisations should be looking at capability, confidence, and outcomes alongside adoption metrics to understand whether they’re creating lasting value.

Adopting AI tools is the easy part. Building the confidence and skills to use them well is where the real magic happens. But it doesn’t happen automatically. Organisations need to treat capability as something to track deliberately, the same way they’d track any other rollout, rather than assuming it improves on its own once the technology is in place. The gap between adoption and capability doesn’t close by itself – it closes because someone is paying attention to it.

Technology leaders must remain vigilant about the specific challenges facing their own industry. The tools available are changing rapidly, and the demands of the workforce are evolving just as fast. Without continuous monitoring and adjustment, even the most well-intentioned rollout can stall. The successful integration of these systems requires a constant feedback loop that involves everyone from the frontline user to the executive suite.