UK AI Job Market Impact Report
Explore how UK occupations are shifting across employment, pay, concentration, regional distribution and AI exposure using ONS-linked data.
This page presents a PMO LDN-branded view of the report, designed to make the dataset easier to explore and easier to discuss with serious leadership audiences.
At a glance
Explore the dataset
Occupation map
Relative tile size reflects employment count. Colour reflects the selected layer.
Occupation detail
AI Exposure: This role includes tasks with moderate to high potential exposure to AI-enabled augmentation, particularly where work involves repeatable information handling, drafting, coding assistance or analytical support. Exposure does not imply displacement.
What this report helps show
Methodology and notes
The report uses the Office for National Statistics Annual Population Survey as its core employment source, with ASHE pay data and regional overlays.
Occupation totals are lower-bound sums of reported industry cells. Regional employment compares selected regions against the UK mix. AI exposure scores are based on external research inputs.
- Uses the 2024 reported employment count for each 4-digit SOC occupation.
- Median pay uses 2024 annual gross pay at 4-digit SOC 2020 level.
- Regional employment compares parent 3-digit groups against the UK mix.
- Suppressed cells are excluded from lower-bound totals.
- AI exposure scores are based on external research inputs.
Why this matters
For leadership teams, the issue is not just whether AI will affect work. It is how quickly change may surface across occupations, sectors and regions, and how organisations respond with clarity and control.
PMO LDN's interest is practical: helping leaders move beyond noise into evidence-led conversations about workforce impact, operational change and governance.
Want the broader strategic view?
Read the supporting PMO LDN white paper or get in touch to discuss what these patterns may mean for your organisation, sector or delivery environment.