Nearly half of all data and analytics job postings in the UK now mention AI. Two years ago that figure was close to zero. Indeed's Hiring Lab published the number in its mid-year UK jobs report on 3 August, and it sits alongside a much less encouraging one: total job postings are down 11% since the start of 2026, and 32% below pre-pandemic levels.
Put those two numbers together and you get a labour market that isn't shrinking evenly. It's splitting. AI mentions now appear in 9.4% of all UK postings, up from roughly 2% in 2023, the highest share Indeed has recorded. Employers want it most in data and analytics and software development, but the pull is spreading into scientific research, marketing, finance and HR. Meanwhile graduate vacancies have fallen to their lowest level for this point in the year since 2020, and summer postings are at a four-year low.
For a senior candidate, this is the market you're actually competing in: fewer roles overall, but a clear and growing subset of employers who will read your CV and immediately ask what you've actually done with AI tools, not whether you've heard of them.
What's changing on the hiring-technology side
There's a second, less visible shift happening at the same time. The EU AI Act classifies AI systems used in recruitment, candidate screening, and decisions on promotion or termination as "high-risk." Full obligations for those systems, including bias testing, documented risk assessments, and human oversight with genuine power to override the system, were due to apply from 2 August 2026. The European Parliament has since approved a proposal to push that deadline to December 2027, though it still needs formal Council sign-off and publication before it's final.
The direction of travel matters more than the exact date. Whenever it lands, any employer using AI to screen or rank candidates for EU-exposed roles will need to tell candidates the AI is involved and explain, at least in outline, how it reaches its decisions. In the UK, the newer Data (Use and Access) Act 2025 takes a lighter touch on automated decision-making, so British-only employers face less immediate pressure. But most executive-level hiring now touches international operations somewhere, and recruiters are already adjusting screening processes ahead of firm deadlines rather than after them.
What this means if you're job hunting right now
Two things worth doing differently this month. First, if you're applying into data, analytics, software, or anything adjacent to those functions, name the specific AI tools you've used and what they changed about your output, not that you're "comfortable with AI." Vague claims get filtered out by the same systems that are supposed to reward AI fluency. Second, if a screening process feels automated (a one-way video interview, a scored assessment with no human contact for weeks), that's now a live compliance question for the employer, not just an inconvenience for you. It's fair to ask, in a follow-up email or at interview, how a decision was reached.
On the KPMG/REC side of the same report cycle, there's a genuinely useful signal buried in the gloom: permanent staff appointments stabilised in August after 45 straight months of decline, the first month without a fall since Liz Truss resigned as Prime Minister in 2022. Temporary vacancies rose for the first time in two years too. None of that erases the graduate and entry-level squeeze, but for experienced candidates it suggests the freeze is thawing rather than deepening.
If you're rewriting a CV or LinkedIn profile for this market, the ATS checker in the Executive Career Toolkit will tell you whether your AI-tool language is actually landing as searchable keywords rather than sitting in a paragraph the system skips past. The JD decoder is worth running against any listing that mentions "AI-assisted" screening or "automated" first-round interviews, since those postings tend to bury the actual scoring criteria a layer deeper than a standard listing does.