The pace has caught many teams off guard. 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 The Register (Accenture data). That is a sharp move in a short window, and it puts pressure on functions that have never had to recruit for AI before.
The wider market is more selective, though. 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 (tech recruitment outlook 2026). So spend is careful, yet the specialist roles keep moving. AI risk sits right in that pocket of stubborn demand.
Why the reluctance, then? For legal and compliance leaders, an AI risk hire often means adding a role that did not exist on the org chart a year ago. It asks a cost-conscious function to commit budget to a skill set it is still learning to define. The demand data explains why they do it anyway: the risk of getting AI governance wrong now outweighs the discomfort of a new hire.
An AI risk specialist sits between the legal team and the people building or buying AI systems. They translate. They take a model or a vendor tool and work out where it could go wrong: bias, data protection, explainability, intellectual property, and accountability when a system makes a decision. Then they turn that into policy the business can follow.
The role overlaps heavily with cyber security, which helps explain where the talent comes from and how tight the pool is. There are approximately 143,000 individuals in the UK cyber security workforce, with growth moderately accelerating from 2% in 2022 to 5% in 2024 Cyber security skills in the UK labour market 2025 - GOV.UK. That growth is real but modest, and AI risk work now competes for the same governance-minded people.
Scarcity is the theme. A comparison with the Cyber Security Skills 2024 report showed 70% of cyber firms reported at least one hard-to-fill vacancy AI Labour Market Survey 2025 (Gardiner & Theobald), GOV.UK / publishing.service.gov.uk. Legal and compliance teams are entering an already stretched market, asking for a hybrid of legal literacy and technical understanding that few candidates hold in equal measure.
Start by writing down what the role is not. It is not a data scientist, and it is not a general compliance officer with AI in the title. Be precise about the decisions you want this person to own, because a vague brief in a tight market gets you a slow, expensive search and a mis-hire.
Then widen your definition of the right background. With demand up sharply and specialist skills in short supply, the perfect five-year AI risk veteran may not exist yet. Someone with strong data protection experience and genuine curiosity about AI can grow into the role faster than you expect. Screen for judgement and the ability to learn, not just a keyword-matched CV.
Move quickly once you find them. In hotspots like London, where the majority of AI postings sit The Register (Accenture data), strong candidates have options. A slow process loses them. Agree your shortlist criteria, your interviewers and your decision timeline before you open the role, not after.
Finding a rare blend of legal and technical skill is exactly the kind of search where speed and reach matter. We built Reed.ai to search 15 million candidates and return a ranked shortlist in seconds, then manage 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 ready to add AI risk expertise to your team, start your search with us today.
