The UK government recently launch a free AI skills initiative for UK workplaces, committed to training millions of people to use AI. It’s goal is to ensure that UK workers are equipped to benefit from the changes AI will bring to their job roles. £27 million in funding has been dedicated to connecting people with professional practice courses and graduate traineeships.
While short, free courses are certainly a useful starting point for professionals looking to upskill and work with AI for the first time, organisations also have a responsibility to go beyond readily available government training and drive meaningful, practical AI skill development. Deeper training, tailored to specific job roles and up to date with current technological developments, is essential for businesses looking to invest in teams, drive real progress with AI initiatives, and deliver ROI. Research from PwC reveals that 56% of CEOs haven’t seen any cost benefits from AI, proving that companies are scaling AI faster than they are equipping employees to work with it.
Expectations that AI needs to deliver ROI within months puts pressure on companies when they onboard the tech, but building a workforce with the right skills is more important than instant returns. 86% of UK companies are already using AI, but 77% of executives surveyed admit they pretend to know more about AI than they actually do. Clearly, providing employees of all levels with the necessary skills is essential to maximise the benefit of AI.
Where government initiatives fall short – and how companies need to build on them
While the UK government’s new AI Skills Hub does demonstrate positive intention to boost the workforce’s AI capabilities, it may not be as successful as intended in practice. Critics argue that simply expanding access to pre-existing short, introductory courses, some of which are already outdated, is not enough to drive actual change across businesses. Without role-specific training which aligns with the needs of employers, initiatives like this will fail to truly close the AI skills gap.
For AI upskilling to deliver measurable impact, organisations must move beyond short introductory courses and embed learning into business strategy. It is critical to ensure that employees understand how new skills and technologies translate into operational value, and to allocate dedicated time to learn on a regular basis. But less than half (46%) of businesses give their employees time dedicated to learning on the job, and without dedicated time to develop new skills, nothing will change. Success depends on a culture of continuous development, not just ad hoc training, and one in which AI literacy continues to evolve company-wide alongside the technology itself.
AI skills should come before AI adoption
For AI initiatives to succeed, organisations also need a strategy to assess organisational readiness, which can be a critical obstacle for AI adoption. To onboard the right AI tools and set the right goals, they need to assess the problems they want to solve by using AI and the data necessary to solve that problem.
Organisations risk failure by focusing on AI adoption without first evaluating AI skills gaps, increasing the risk of stalled projects and underwhelming ROI as businesses deploy tools their teams are ill-equipped to use effectively. The result is fragmented implementation and missed value.
Organisations need to be able to evaluate skills accurately to determine whether employees require further training and assess readiness to onboard new solutions or begin new projects. This prevents failed investments and makes AI onboarding far more likely to be successful. Courses which have clear grading systems and pass/failure marks make understanding when employees have the appropriate skills to work in AI-integrated projects.
Building skill development into business
A one-size-fits-all approach to AI upskilling across the entire UK workforce is a good starting point but is unlikely to make significant impact. To drive real change, organisations must implement structured learning and sector-specific courses in accordance with the requirements of different roles and responsibilities.
Role-specific development ensures employees are equipped with relevant, applicable skills, and businesses can directly see improvements in ROI. Structured learning pathways, benchmarking skills and hands-on learning are all crucial for establishing organisational readiness for AI. Skills assessments identify where gaps exist and where upskilling is necessary. By mapping course participation and learning outcomes to KPIs, AI skills development will remain measurable and closely tied to long-term growth.
