The picture is cautious but far from flat. Through a subdued 2025 economic backdrop, businesses took a careful approach to hiring, yet clear demand hotspots stayed hot for specialist tech skills including AI, data, enterprise applications and cyber security Computer Weekly (tech recruitment outlook 2026). In other words, generalist hiring slowed while specialists kept their pull.
AI skills are the clearest signal. Demand for AI skills rose 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 The Register (Accenture data). That concentration tells you where the competition for talent is sharpest, and where engineering leaders need a plan.
Longer term, the direction of travel is growth. For the total of 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 across these scenarios AI Skills for Life and Work: Labour market and skills projections - GOV.UK. So even the cautious scenario points up.
Prompt and context design is the newest line on the job description. It is the craft of writing clear instructions for an AI model and giving it the right surrounding information, the context, so it returns useful, reliable output. Engineers now treat this like any other part of the stack: something you design, test and version, not something you guess at.
How teams build these skills is shifting too. Apprenticeships have risen from 3 percent of AI hires in 2020 to 19 percent in 2025 GOV.UK / DSIT – AI Labour Market Survey 2025 report. That tells us employers are growing talent in-house, not only buying it in, which matters when a skill is this new and moving this fast.
National upskilling is backing the same shift. During London Tech Week 2025, the UK government announced a partnership to upskill 7.5 million UK workers in essential AI skills by 2030, equivalent to around 20 percent of the UK workforce techUK. For engineering leaders, that widens the pool of people who can learn prompt and context design, if you hire for the right foundations.
Start with fundamentals, not buzzwords. The strongest hires understand how a model behaves, how to structure context, and how to evaluate output against a clear measure of success. Ask people to walk you through a prompt they improved: what they changed, why, and how they knew it worked. That reasoning matters more than any single tool.
Test for the habits that travel. Version control for prompts, writing evaluations, documenting edge cases and reasoning about failure modes are all transferable engineering disciplines applied to a new surface. Someone who already thinks this way about code will pick up prompt and context design quickly.
Then widen your net. With apprenticeships climbing and national upskilling underway, the right person may be a strong engineer ready to grow into the skill rather than one who has done it before GOV.UK / DSIT – AI Labour Market Survey 2025 report. Hire for curiosity and clear thinking, then give people room to practise.
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