In a community hub across from a bus station in Preston, Lancashire, a small group of teenagers and young adults are learning to build AI tools. The setting is modest. The ambition is not. A UK government pilot programme is testing whether AI literacy can serve as a bridge into employment for young people who are currently outside education, work, and training entirely.
A Pilot Built Around Those Left Behind
The programme targets a specific population: 16 to 24 year olds classified as Neet, an acronym for “not in education, employment or training.” Nearly a million young people in the UK currently fall into this category, representing just over one in ten people in that age group. The bootcamp in Preston is part of a trial in the north-west of England, open to 70 participants who complete a three-week course.
The curriculum is practical. Participants learn to build AI tools, understand how businesses deploy the technology, and engage with questions of responsible use. One session observed during the pilot focused on the importance of clean, accurate data in AI models, a foundational concept that underpins how these systems actually function in real-world settings.
At the end of the course, participants are offered a pathway into apprenticeships. The companies involved include retailer JD Sports, food company Heinz, and IT firm Agilysys. Two tracks are available: one aimed at content creators who want to become AI marketing specialists, another for those interested in IT helpdesks that require AI expertise. These are not generic placements. They are roles designed specifically around the skills taught in the bootcamp.
What the Participants and Experts Actually Say
The reactions from participants are telling. Remy Simms, 17, says the course changed his view of the technology. His framing is worth noting: “It shows that you can work with AI and you don’t have to work against it.” That shift in perception, from AI as threat to AI as tool, is precisely what the programme is designed to produce. Khudeija Rafique, 18, sees direct relevance to her future career, whatever form that takes.
The expert perspective is more cautious, and more honest about what remains unknown. Dr Bouke Klein Teeselink, who researches AI and the future of work at King’s College London, points out that the evidence base on how AI affects non-graduate employment is thin. Most concern so far has concentrated on graduate roles, particularly in sectors like banking, consulting, and law, where AI is expected to absorb the routine analytical work traditionally assigned to junior employees. The picture for school leavers and non-graduates is less clear.
Teeselink identifies two questions the programme needs to answer to be considered a genuine success: whether the AI training is thorough enough to be meaningful, and whether participants actually improve productivity at the organisations they join. These are the right questions. A three-week bootcamp that produces surface-level familiarity with AI tools is a different thing from one that equips young people with durable, transferable skills.
Chris Goulden, deputy chief executive of the Youth Futures Organisation, adds another layer of complexity. His organisation’s assessment is that AI is not currently a primary driver of rising Neet numbers since the pandemic. Mental health issues and a broader economic slowdown are more significant factors. That said, Goulden does not dismiss the concern about AI’s longer-term impact on entry-level work. His logic is direct: if AI is removing the first rung of the career ladder, giving young people a foothold in the technology itself is a rational response.
Why This Experiment Matters Beyond Preston
Here is what most coverage of this story misses. The bootcamp is not primarily a story about AI. It is a story about what happens when two large, unresolved policy problems intersect, and whether addressing one can help with the other.
Youth unemployment in the UK has resisted successive government interventions. Alan Milburn, a former Labour cabinet minister, has warned that the country risks producing a “lost generation” without more decisive action, and his analysis makes clear that AI bootcamps alone are nowhere near sufficient. Welfare reform, vocational guidance, and structural changes to how apprenticeships are offered all feature in his prescription.
The Preston pilot sits within that larger, harder problem. It is a targeted intervention, not a comprehensive solution. Its value lies partly in what it might teach policymakers: whether AI training at this level, delivered to this demographic, translates into real employment outcomes and real productivity gains for employers.
There is also a signal worth reading in the corporate involvement. When companies like JD Sports and Heinz design apprenticeship roles specifically around AI skills for young people who have never held a job, it suggests that demand for AI-adjacent capabilities is not confined to graduate hiring pipelines. That is a meaningful data point, even if its implications are still unfolding.
In Short
A UK government pilot is offering three-week AI bootcamps to young people classified as Neet, with apprenticeships at companies including JD Sports, Heinz, and Agilysys available at the end. Nearly one million young people in the UK currently fall into the Neet category. Experts caution that AI is not the main driver of that figure, and that a short course cannot substitute for broader structural reform. What the programme can do is test a specific hypothesis: that equipping young people with practical AI skills, rather than leaving them to navigate the technology’s disruptions without preparation, improves their chances in a labour market that is changing faster than most training systems can track.
Based on reporting from The Guardian - Technology.