A new survey published on 18 May 2026 by Slalom made one fact very clear. 54% of business leaders in the UK and Ireland see the workforce skills gap as the biggest barrier to getting a return on investment from AI. This is not a technology problem. It is a people problem.
The numbers behind this finding are striking. 70% of businesses give staff access to AI tools, but only 48% set aside time for employees to actually experiment with those tools. Companies are buying AI without investing in the people who are supposed to use it.
How Deep Is the Problem?
Deeper than most leaders realise. According to the British Chambers of Commerce, 97% of British organisations report at least one significant AI skills gap, with a third saying those gaps are already hurting their ability to meet business goals.
The CBI's AI Skills report found that many businesses are experimenting with AI without the training, the guidance, or the capability to scale what they are learning. A parliamentary briefing in February found that just 21% of UK adults can explain AI in any meaningful detail, and only one in five people in work feel confident using it.
This is not about coding skills. It is about understanding how to lead with AI, govern it responsibly, and make strategic decisions about where it fits in your organisation.
The Cost of Doing Nothing
Inaction has a measurable price. 59% of enterprise leaders say their organisation has an AI skills gap in 2026, even though most are already investing in some form of AI training. Only 21% of leaders report significant positive return on their AI investments.
The World Economic Forum found that AI-skilled professionals command a 23% salary premium over comparable peers, more than a master's degree at 13% or a bachelor's degree at 8%. AI skills now outperform traditional educational credentials in immediate labour market returns.
If your team is not developing AI literacy, your competitors' teams likely are.
Why Most Training Is Not Working
The problem is not a lack of training content. It is the wrong kind of training. Video-based courses and blended online sessions are the most common AI training formats at 40%. But leaders report that these approaches fall short, with 23% saying video-based courses make it difficult to apply skills in the real world.
Watching AI being explained is very different from making decisions with AI. Leaders need frameworks for strategy, governance, and organisational change. Not just technical demonstrations.
What Good AI Training for Leaders Looks Like
Effective AI education for business leaders focuses on four areas. First, understanding what AI can and cannot do in your specific sector. Second, building a strategy for responsible adoption. Third, managing the people, culture, and change that comes with AI integration. Fourth, understanding data governance and risk.
These are not IT skills. They are leadership skills applied to an AI context.
ManpowerGroup's 2026 Talent Shortage Survey found that AI literacy and confidence in using AI to support existing roles is now the skill organisations have the most difficulty finding, not technical AI expertise. The gap is in judgement and application, not programming.
Where to Start
The good news is that closing this gap does not require a long commitment. Structured short programmes designed specifically for executives and senior managers can build the foundations quickly.
At LSBUK, our Diploma in AI for Leaders and Executives is built for professionals with no technical AI background. Our AI Strategy for Executives course provides a practical, non-technical framework for understanding and leading AI adoption. Both are available online and on campus in London.
The UK's position in the global AI economy is not guaranteed. Most of the data coming through in early 2026 suggests that British business has not been paying nearly enough attention. The organisations that act now will have a structural advantage over those that wait.