The bottom of the ladder is where the pressure sits. In engineering, entry-level hiring has fallen to -19% while senior hiring sits at -10%, a nine-percentage-point gap, according to a 2026 GOV.UK snapshot of entry-level hiring. The gap matters more than either number on its own: firms are still buying experience, but they're hesitating on the first hire.
Tech graduates feel it most sharply. The UK tech sector cut graduate jobs by 46 percent in the past year, with a further 53 percent drop projected, according to figures from the Institute of Student Employers reported by The Register. And the shift lines up with wider automation: Adzuna has seen a 30% drop in UK entry-level job postings since ChatGPT's launch, with graduates facing the toughest job market since 2018, as techUK reports.
So the picture isn't a shortage of talent. It's a change in what the first job looks like, and that's a problem you can design around rather than wait out.
Two things are moving at once. Demand for AI skills increased nearly 200 percent in a year, with London accounting for 80 percent of AI-related job postings and nearly two-thirds of all technology vacancies in the UK, according to Accenture data reported by The Register. The work that's growing is AI-shaped, and the work that's shrinking is the routine code a junior used to cut their teeth on.
The way people enter the field is changing too. Apprenticeships have risen from 3% of AI hires in 2020 to 19% in 2025, according to the DSIT AI Labour Market Survey 2025. That tells you employers increasingly build the first rung themselves, pairing new engineers with real work rather than waiting for a finished specialist.
And the scale is significant. For AI-related occupations, the net change ranges from approximately 696,000 jobs in the Automation Scenario to 1,072,000 in the Technological Opportunities Scenario, with replacement demand rising from 3,077,000 to 3,193,000 jobs, according to GOV.UK labour market and skills projections. New roles are coming; the question is who's ready to fill them.
In practice, a junior now starts beside an agent. They prompt it, review what it writes, catch the mistakes, and own the outcome. The skill that matters on day one is judgement: knowing when the agent is wrong and why.
Start by writing the role for what the job now is. Hire for judgement, not just syntax: the ability to read agent output, spot the flaw, and explain the fix. Those are testable skills, so test them. A short exercise where someone reviews and corrects AI-generated code tells you more than a whiteboard puzzle.
Then build the first rung on purpose. Apprenticeships are rising for a reason, and the UK government announced a partnership to upskill 7.5 million UK workers in essential AI skills by 2030, equivalent to around 20% of the UK workforce, as techUK reports from London Tech Week 2025. Pair new engineers with a mentor and an agent, give them real tickets early, and widen your pool beyond the usual graduate routes.
When you're hiring a junior who'll work beside agents from day one, speed and fit both count. We search a database of 15 million candidates and manage recruitment end to end, so you can focus on assessing judgement rather than chasing applications. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost, through Reed.ai. Tell us the role, and we'll start the shortlist today.
