The market is sorting into two speeds: scarce specialist skills on one side, and a shrinking door for people starting out on the other. 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. That pull is concentrated and intense.
At the same time, the entry point is narrowing. The UK tech sector cut graduate jobs by 46 percent in the past year, with a further 53 percent drop projected according to Institute of Student Employers figures reported by The Register. 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 techUK reports. The routine work that once trained juniors is now the work agents do first.
This is not a slump across the board. Against a subdued 2025 economic backdrop, businesses took a cautious approach to hiring but there were demand hotspots for specialist tech skills including AI, data, enterprise applications and cyber security Computer Weekly's tech recruitment outlook for 2026 notes. The spend is moving towards people who can direct the work, not just produce it.
When an agent can draft a function, a test suite or a migration in seconds, raw output stops being the differentiator. The scarce skill becomes judgement: knowing what to build, reading an unfamiliar codebase, catching a plausible-looking answer that is quietly wrong, and deciding when to accept, reject or rework what the machine produced. Review, context and taste now carry the weight that typing used to.
That shift shows up in the data. In Engineering, entry-level hiring has fallen to -19% while senior hiring sits at -10%, a 9-percentage-point gap according to a GOV.UK snapshot of entry-level hiring in the UK. Teams are leaning on experienced engineers who can supervise agents and own outcomes, while fewer juniors are brought in to do the work agents now handle.
There is a risk hiding in that gap. If the traditional training ground for juniors disappears, where does the next generation of senior judgement come from? Smart teams are redesigning early roles around reviewing, testing and directing agent output, rather than cutting them entirely.
Start by hiring for judgement, not keystrokes. In an interview, hand someone a block of AI-generated code with a subtle flaw and watch how they reason about it. Do they trust it blindly, or do they probe the assumptions, check the edge cases and explain their decision? That tells you more than a timed coding puzzle ever will.
Write job descriptions around outcomes and decisions, not a checklist of frameworks that an agent can already use. Be specific about the problems the person will own. Clear, honest briefs attract people who want responsibility, and they help you screen for the judgement that now sets engineers apart.
The right tool finds that scarce judgement quickly. Reed.ai searches a database of 15 million candidates, ranks a shortlist in under 30 seconds, and manages the process end to end, from first contact to a booked interview. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost. If you are building an agent-era team, tell us the problem the person needs to own and we will surface the people who can own it. Start your search with us today.
