Demand for AI skills is climbing sharply across the UK. Analysis reported by The Register, citing Accenture data found 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. For financial services firms clustered in the capital, that means competing in the most crowded part of an already tight market.
The wider tech picture reinforces it. Computer Weekly's tech recruitment outlook for 2026 notes that against a subdued 2025 economic backdrop, businesses took a cautious approach to hiring but there were clear demand hotspots for specialist skills including AI, data, enterprise applications and cyber security. When everyone chases the same small pool, searches stretch out and the right person is hard to pin down.
The roles are specialist, and the hard-to-fill problem is real in adjacent fields. The AI Labour Market Survey 2025, published on GOV.UK reports that while the proportion of employers struggling to fill vacancies has declined overall, a comparison with the Cyber Security Skills 2024 report showed 70 percent of cyber firms reported at least one hard-to-fill vacancy. Financial services leans heavily on exactly these overlapping skill sets.
The scale of change ahead is large too. Government projections in the AI Skills for Life and Work report on GOV.UK estimate the net change for AI-related occupations ranges from around 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. That is a lot of hiring and re-hiring competing for the same talent at once.
The way firms build these skills is shifting as well. The AI Labour Market Survey 2025 report on GOV.UK shows apprenticeships have risen from 3 percent of AI hires in 2020 to 19 percent in 2025, a sign that employers are increasingly growing talent rather than only buying it in.
Start with the people you already have. Upskilling is now a mainstream strategy: Make UK's Executive Survey 2026 found 40 percent of manufacturers are looking to upskill their existing workforce, specifically for redeployment as a result of automation and digitalisation, with that figure higher for firms with more than 1,000 employees. Finance teams can apply the same logic, moving strong analysts and engineers into AI-focused work.
There is national support behind this too. techUK reports that 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. Tapping structured training, apprenticeships and these programmes lets you build capability on a timeline you control.
Be specific about what you build versus buy. Map the AI tasks your business actually needs, then decide which your current team can learn within a quarter or two and which genuinely require an experienced external hire. For those external hires, write tight role definitions, prioritise demonstrable skills over long tenure, and keep your interview process short so good people do not drift to faster competitors.
Some specialist roles you will still need to hire from outside, and that is where we help. We search a database of 15 million candidates, rank a shortlist in under 30 seconds, and contact matched people in under a minute, so you reach the right specialists while your team keeps upskilling. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost. Tell Reed.ai the role and see your first shortlist today.
