British Chamber of Commerce Report Finds the Entry-level Job is Becoming an Endangered Species
AI adoption among UK businesses has more than doubled in a year and the people most likely to pay for it are the ones who haven't started working yet.
A new study by the British Chambers of Commerce, drawing on analysis by the University of Essex, finds that 54% of SMEs are now using AI tools, up from 25% in 2024. For most firms, that means generic tools like chatbots, writing assistants, research aids and limited disruption to headcount. But around one in ten have invested in bespoke AI systems, and those firms are significantly more likely to have reduced their workforce as a direct result.
The distinction matters. Generic AI improves efficiency at the margins. Bespoke AI restructures organisations. The roles most vulnerable to restructuring are the ones that don't yet exist in young worker's CV, the entry-level positions through which each generation learns to work.
The timing is awkward. NIESR research from 2026 estimates that recent policy changes, the NIC increase, the National Minimum Wage rise, and employment rights reforms, have all raised the real cost of hiring entry-level workers by around 7%. When the cost of a junior hire goes up and a tool can absorb some of what that hire would have done, the business case for the human hire weakens.
The BCC's own economic forecast expects youth unemployment to hit 17% this year.
Two-thirds of UK firms already report skills shortages. The risk is that the mechanism for fixing that by bringing young people into workplaces, giving them experience, developing their judgment gets quietly automated away before anyone decides it was worth protecting. Whole workplaces become the equivalent of the frustrating supermarket self-checkout before people realise adding humans is a lot more valuable than the cost saving that comes from a customer swiping a barcode across a scanner.
The BCC recommends redirecting Growth and Skills Levy funding toward AI literacy, alongside tax credits or grants for businesses that invest in both technology and workforce training. The argument is that junior roles don't have to disappear. Instead, they can be redesigned around AI tools, giving early-career workers hands-on experience with the technologies that will define the rest of their working lives.
That's the optimistic reading. The less optimistic one is that redesigning a role takes investment, and investment requires confidence in the future value of the person being trained. In a tight margin environment with rising employment costs, that confidence is exactly what's being squeezed.
We'd like your views:
- Bespoke AI adopters are significantly more likely to have cut headcount than firms using generic tools only. Is that a temporary adjustment or the beginning of a structural shift in how entry-level roles are defined?
- NIESR estimates a 7% real-terms increase in the cost of hiring entry-level workers following recent policy changes. When rising costs and automation arrive simultaneously, which factor is actually driving hiring decisions, and does it matter?
- The BCC recommends redesigning junior roles to combine human talent with AI rather than replacing one with the other. What would that actually require from employers, and who bears the cost of making it happen?
- Youth unemployment is forecast to reach 17% this year. If the entry-level pipeline shrinks now, where do the skilled mid-career workers of 2035 come from?
- Two-thirds of UK firms already report skills shortages. If AI reduces the number of entry-level roles through which skills are developed, does the skills shortage get better or significantly worse?




