How UK Recruitment Agencies Are Using AI in 2026

The numbers have shifted fast. In August 2023, the REC surveyed senior HR professionals and found that just 8% of HR departments were using AI in recruitment. By 2023, the REC found that 48% of recruitment businesses had adopted some form of AI technology, a significant jump from 32% in 2021.

APSCo's December 2025 whitepaper, based on interviews with over 50 CEOs and senior leaders at UK staffing firms, put the figure higher still: roughly two-thirds of UK recruitment firms were either implementing or trialling AI tools.

But adoption rates on their own are misleading. The more useful question is: what are agencies actually using AI for, and is it producing measurable results?

What Agencies Are Using AI For

The REC's data paints a clear picture of where AI has landed first. Among agencies that have adopted AI tools, job description writing is the dominant use case, with 90% of AI users applying it there. CV screening follows at 45%, then talent acquisition tools at 39%.

The less mature use cases tell a different story. Only 11% of agencies rated interview scheduling tools as helpful. Interview analysis tools scored 9%. Onboarding tools just 8%. The pattern is consistent: AI works well for text-heavy, repetitive tasks. It struggles with anything requiring nuanced human judgment or complex coordination.

Bullhorn's GRID 2025 report, which surveyed staffing firms globally including the UK, found that 45% of agencies were experimenting with AI to sort candidate CVs and submissions. Their data also showed that recruiters currently spend an average of 14.6 hours per week searching for candidates, a figure that search-and-match AI tools are beginning to reduce.

The Results Question

This is where the conversation gets more interesting. Bullhorn's 2026 UK and Ireland data, based on roughly 300 respondents surveyed between November and December 2025, found that agencies using AI were roughly four times more likely to have grown revenue than those without it. Among agencies that grew revenue by 25% or more, 78% had embedded AI directly into their ATS.

The CIPD's 2024 Resourcing and Talent Planning report, which surveyed 1,016 UK HR professionals, found that 66% of organisations using AI in recruitment reported improved hiring efficiency. That same report noted that 31% of UK organisations were using some form of AI or machine learning in recruitment, up from 16% in 2022.

On the candidate side, Bullhorn's Talent Trends report found that 77% of candidates rated their AI-assisted recruitment experience positively. Interestingly, 88% said AI-powered voice agents were as good as or better than a human interview.

But trust is fragile. A Greenhouse survey of over 4,000 jobseekers across the UK, US, Ireland, and Germany found that 45% of UK jobseekers trust the hiring process less than they did a year ago, with 40% attributing that decline to the rise of AI. Only 8% of UK jobseekers believe AI makes hiring more fair.

Where the UK Differs

UK adoption lags behind the US but not by as much as you might expect. Hays surveyed 46,000 employees across 25 countries in 2025 and found that 29% of UK employers recommend AI tools to their staff, compared to 59% in the US. Only 37% of UK employers provide AI training, compared to 50% in America.

The gap is cultural as much as technological. Industry commentary consistently points to a risk-averse business culture in the UK where AI adoption is driven by individual enthusiasm rather than organisational strategy. This creates an uneven picture: some agencies are well ahead, while others have not started.

The regulatory environment adds a layer too. The ICO audited AI recruitment tools between August 2023 and May 2024, issuing 296 recommendations to providers. Their findings included tools that allowed filtering by protected characteristics, inferred gender and ethnicity from candidate names, and scraped social media without candidate knowledge. The UK government published its Responsible AI in Recruitment Guide in March 2024, and the Data (Use and Access) Act came into law in June 2025, updating some provisions around automated decision-making.

This regulatory framework does slow things down. It also means UK agencies adopting AI tend to do so more carefully, which is not a bad thing.

The Holdouts

Roughly one-third of UK recruitment businesses do not plan to adopt AI at all. The primary reason, cited by 61% of non-adopters in the REC's survey, is lack of trust in AI decision-making. The second biggest concern, identified by 68% of agencies, is that AI cannot assess soft skills and interpersonal qualities.

Both concerns are legitimate. AI is poor at evaluating cultural fit, motivation, and communication style from a CV alone. The agencies getting the best results are the ones that use AI for the tasks it does well (screening volume and writing first drafts) and keep human judgment where it matters (interviewing and making the final call).

What This Means For Your Agency

Three patterns stand out from the data.

First, the adoption window is closing. When 48% of your competitors have already adopted AI and that figure is rising fast, standing still carries its own risk.

Second, start with text and volume. Job descriptions, CV screening, and candidate communications are where AI delivers the most consistent results. Do not start with the hard stuff.

Third, invest in compliance. The ICO is watching. A DPIA, clear candidate communication about AI use, and human oversight of automated decisions are not optional extras. They are the price of entry.

If you are unsure where your agency stands, our free AI Readiness Quiz scores you across seven dimensions of AI adoption and shows you where to focus first.