Businesses Are Adopting AI Faster Than They Are Building Skills
According to the Pluralsight AI skills report, 86% of UK companies are already using AI in some form. On the surface this sounds like great progress, but the reality inside organisations is different.
A PwC survey found that 56% of CEOs say they have not yet seen a financial return from their AI investments. At the same time, 91% of executives admit they exaggerate their understanding of AI.
In other words, the technology is being adopted quickly, but the knowledge needed to use it effectively often isn’t keeping pace. This is a difficult situation for businesses: leaders are under pressure to show results from AI projects within months, yet meaningful results depend on employees' understanding of how to use these tools in their daily work. That’s where the gap sits.
Fact: 65% of the skills needed for existing jobs will have changed by 2030 due to AI
Pearson’s Lost in Translation report revealed that around 65% of the skills needed for existing jobs will have changed by 2030, due to AI. Strategic AI implementation is non-negotiable, or the UK risks losing £96 billion off the back of workforce transitions challenges.
Why Short AI Courses Alone Can’t Close the Skills Gap
Short AI courses have value as they introduce key concepts and help people understand what the technology can do. This first bit of exposure removes the uncertainty around AI that professionals may have - but awareness doesn’t equal capability.
The CIPD’s observations argue that many of the courses within the government’s platform focus on introductory material that already exists elsewhere, meaning guidance is quickly becoming outdated. In a field that moves as fast as AI, knowledge needs regular updating and real workplace context to be useful.
There are also the issues of time - Pluralsight AI reports that only 46% of businesses give employees dedicated time to learn while on the job. Without space to practice and experiment, even well-designed courses struggle to translate into real, usable skills.
From our experience, people benefit most when learning includes:
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Structured training pathways that build knowledge step by step
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Hands-on learning where new tools are applied in practical scenarios
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Role-specific development that connects AI skills to real job responsibilities
This combination is what helps turn curiosity about AI into skills people can actually use at work.
Turning AI Knowledge into Real Career Skills
For many professionals and career changes, the key question is: how do you move from simply understanding AI, to actually using AI in your work?
In most cases, that shift happens through structured learning that connects new technology to real job roles. Introductory courses spark interest, but practical capability usually develops through guided pathways that show how AI tools can be utilised when completing daily work tasks.
Take project management as one example - AI is increasingly being used to support project planning, automate reporting, analyse project data, and flag potential risks earlier in the delivery cycle. For many Project Managers, learning how to work alongside these tools is quickly becoming part of the role. Training designed for these workflows, focuses on how AI fits into real project environments rather than just explaining the technology.
This is the approach we use at Learning People. Alongside core technical knowledge, our Career Pathways emphasise practical application, guided study and career support. The aim is to help people build skills that are genuinely useful in the workplace, not just theoretical knowledge about emerging technology.
If you’re looking to build practical AI skills that translate into real career opportunities, book a call back from one of our expert Career Consultants below.
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