1. Audit before you act
Run a skills audit to understand your actual AI capability baseline — not what you assume. Use the AI Workforce Risk Analyser to map your specific role mix against UK displacement data.
Which UK jobs are at risk from AI? A sector-by-sector guide
IPPR estimates up to 8 million UK jobs face meaningful AI automation exposure — but the risk varies enormously by sector, role type, and task mix. This guide breaks down which roles face the highest displacement risk in each major UK sector, what the data actually says, and what employers can do about it. Based on GOV.UK labour market data, IPPR research, and ONS occupation analysis published in 2026.
Future of work
AI displacement
Workforce planning
Published: March 2026. Based on GOV.UK AI Skills for Life and Work report, IPPR "8 million jobs" research, and ONS occupation data.
Key findings at a glance
8mUK jobs face significant AI automation exposure, according to IPPR. This is ~25% of the UK workforce — but the majority will be transformed rather than eliminated.
26%of administrative and secretarial occupations are classified as high-exposure in GOV.UK's 2026 labour market assessment — the highest of any occupation group.
3.9mAI-related jobs are projected by GOV.UK to exist in the UK by 2030, up from 158,000 in 2024. The opportunity is as large as the displacement risk.
92%of UK businesses are falling behind the AI adoption curve needed to remain competitive in their sector (Prince AI Training, March 2026) — making upskilling urgent, not optional.
50%of UK employers say they don't know what AI training is relevant to their business — the biggest barrier to action according to ManpowerGroup's 2026 survey.
Important context before the sector breakdown
Automation exposure ≠ job loss. The GOV.UK labour market assessment distinguishes between occupations where AI can perform a high % of current tasks ("automation exposure") and actual job elimination. Most roles will see significant tasks automated while new human-AI collaboration tasks emerge. The appropriate response is upskilling, not panic.
The risk percentages below represent task automation exposure — the proportion of typical role tasks that current AI systems can perform to a comparable standard. This is based on GOV.UK's Skills England assessment methodology, which uses UK occupation data rather than US O*NET data used in many international studies (the two can diverge significantly for the same job title).
Sector-by-sector breakdown
Click each sector to expand the full role analysis and upskilling recommendations.
Administrative & Support Services
Highest overall automation exposure of any UK sector
High risk▾
Administrative and support services have the highest task automation exposure of any major UK sector. GOV.UK's 2026 assessment puts 26% of administrative and secretarial occupations in the high-exposure category — with document processing, scheduling, data entry, and routine correspondence particularly vulnerable to AI automation.
| Role | Exposure | Key tasks at risk | Resilient tasks |
|---|---|---|---|
| Data entry clerk | Very high (80%+) | Document ingestion, form processing, data validation | Exception handling, quality oversight |
| Administrative assistant | High (65–75%) | Correspondence, scheduling, minute-taking, filing | Senior relationship management, complex coordination |
| Receptionist | Medium (40–55%) | Routine enquiries, appointment booking, information provision | Physical presence, visitor management, emotional welcome |
| Executive assistant | Medium (35–50%) | Calendar management, travel booking, draft comms | Judgment calls, stakeholder relationships, confidential support |
Recommended upskilling interventions
Focus on AI tool proficiency for productivity (not replacement anxiety), AI output checking skills, and transition toward data quality oversight and process improvement roles. Strong candidates for AI practitioner-tier training.
AI Foundations unit AI and Data for Business unit Digital Skills for Work unit AI Skills Boost programmeFinancial Services & Insurance
Back-office transformation underway; advisory roles more resilient
High risk▾
Financial services has the most mature AI deployment of any UK sector. Back-office processing, claims handling, and compliance reporting are already heavily automated. The sector is bifurcating: processing roles face significant displacement while financial advisory, relationship management, and complex risk roles are growing.
| Role | Exposure | Key tasks at risk | Resilient tasks |
|---|---|---|---|
| Accounts payable clerk | High (70%+) | Invoice processing, reconciliation, payment runs | Supplier relationship management, dispute resolution |
| Insurance claims handler | High (60–70%) | Routine claims assessment, document review, fraud flagging | Complex claims, customer empathy, legal edge cases |
| Financial analyst | Medium (40–55%) | Data aggregation, standard reporting, variance analysis | Strategic interpretation, stakeholder communication |
| Financial advisor / IFA | Lower (20–35%) | Research, comparison, basic suitability assessment | Client relationship, holistic advice, trust-based judgment |
Recommended upskilling interventions
Prioritise AI augmentation for analyst roles (data interpretation, AI-generated report review) and transition planning for processing roles. Note: the FCA's AI governance expectations mean AI literacy is also a compliance requirement in financial services.
AI and Data for Business unit Responsible AI training Level 4 AI Apprenticeship (technical staff)Retail & Consumer
Customer service roles most affected; physical retail more resilient
Medium-high risk▾
AI agents are being deployed at scale in retail customer service — 100,000+ UK AI agent deployments are projected by end of 2026. Tier 1 customer service, order processing, and inventory management face significant automation. Store-based physical roles and complex customer experience roles are more resilient.
| Role | Exposure | Key tasks at risk | Resilient tasks |
|---|---|---|---|
| Customer service advisor (phone/chat) | High (60–70%) | FAQ queries, order tracking, returns, basic complaints | Complex complaints, emotional support, relationship recovery |
| Merchandising analyst | Medium (45–55%) | Demand forecasting, sales analysis, range planning reports | Buyer relationships, trend intuition, category strategy |
| Store manager | Lower (20–30%) | Rota scheduling, reporting, compliance checklists | Team leadership, customer escalations, local decisions |
Recommended upskilling interventions
Customer Relationship Management unit AI Foundations unit Leadership Foundations (managers)Professional Services
Junior knowledge roles most exposed; senior advisory resilient
Medium-high risk▾
Professional services (legal, consulting, accounting, recruitment) is experiencing the fastest AI disruption of knowledge-work roles. Junior research, document review, and standard reporting tasks that once took graduates weeks are now performed by AI in hours. This is reshaping graduate hiring and creating significant career pathway disruption.
| Role | Exposure | Key tasks at risk | Resilient tasks |
|---|---|---|---|
| Junior solicitor / paralegal | High (55–65%) | Document review, contract analysis, legal research, first drafts | Client counsel, complex judgment, court advocacy |
| Graduate consultant / analyst | High (55–65%) | Research, data compilation, slide preparation, benchmarking | Client relationships, strategy synthesis, novel problem-solving |
| HR generalist | Medium (45–55%) | Policy queries, JD writing, onboarding admin, compliance reporting | Complex ER, culture work, leadership advisory |
| Senior partner / director | Lower (15–25%) | Report assembly, calendar, basic communications | Client trust, business development, strategic judgment |
Recommended upskilling interventions
Focus on AI augmentation skills rather than displacement anxiety. Junior staff who master AI tools to produce senior-quality output faster will be the most valuable — not those who resist AI adoption.
AI and Data for Business unit Level 4 AI Apprenticeship Responsible AI and governance trainingHealth & Social Care
Clinical roles resilient; administration faces significant automation
Medium risk▾
Clinical health and social care roles — nurses, carers, GPs, therapists — have among the lowest AI displacement risk of any sector. Physical care, human judgment in complex situations, and emotional support are deeply human. However, healthcare administration is experiencing rapid automation, and the NHS AI strategy is accelerating change.
| Role | Exposure | Key tasks at risk | Resilient tasks |
|---|---|---|---|
| Medical secretary / admin | High (60–70%) | Appointment scheduling, referral processing, dictation transcription, coding | Complex patient communication, sensitive case management |
| Healthcare assistant | Lower (15–25%) | Documentation, observation recording | Physical care, patient interaction, bedside support |
| Nurse / clinical staff | Lower (10–20%) | Documentation, standard assessments | Clinical judgment, patient care, complex decision-making |
Recommended upskilling interventions
NHS England's AI strategy is creating demand for clinically-aware AI specialists. The NHS AI Skills Boost partnership offers funded routes for healthcare staff.
AI Foundations unit AI Skills Boost (NHS partnership) Digital Skills for Work unitEducation & Training
Teaching resilient; L&D roles evolving fast — opportunity over risk
Lower risk▾
Teaching, coaching, facilitation, and training delivery have among the lowest AI automation exposure of any profession — human relationship, adaptive response, and motivational skills are deeply resilient. However, the sector is being transformed: AI-literate trainers and L&D professionals who can design and deliver AI-augmented programmes are in growing demand.
| Role | Exposure | Key tasks at risk | Resilient tasks |
|---|---|---|---|
| Training designer / instructional designer | Medium (35–45%) | Content drafting, quiz creation, basic research, formatting | Learning strategy, engaging design, subject expertise |
| Trainer / facilitator | Lower (20–30%) | Standard content delivery, marking standard assessments | Live facilitation, coaching, adaptive teaching |
| L&D manager | Lower (15–25%) | Reporting, LMS admin, standard comms | Strategy, stakeholder influence, programme design |
| Assessor / IQA | Lower (20–30%) | Standard evidence review, basic feedback generation | Holistic judgment, developmental coaching, borderline decisions |
Recommended upskilling interventions
The greatest opportunity for education and training professionals is becoming skilled at AI-augmented programme design and delivery — not just consuming AI tools but using them to produce higher-quality training faster. This is a competitive advantage, not a threat.
AI tools for L&D AI and Data for Business unit Level 4 AI Apprenticeship (technical L&D roles)Manufacturing & Engineering
Physical roles resilient; design and planning increasingly AI-augmented
Medium risk▾
Physical manufacturing roles face lower near-term AI automation than knowledge-work roles — fine motor skill, physical dexterity, and on-the-floor judgment are hard to automate economically. However, engineering design, quality control analysis, maintenance scheduling, and supply chain planning are all increasingly AI-augmented.
| Role | Exposure | Key tasks at risk | Resilient tasks |
|---|---|---|---|
| Production planner | Medium (45–55%) | Scheduling, demand forecasting, standard reporting | Complex constraint management, supplier relationships |
| Quality inspector | Medium (35–50%) | Standard defect detection, documentation, compliance checks | Novel defect diagnosis, process improvement judgment |
| Maintenance engineer | Lower (20–30%) | Preventive maintenance scheduling, fault log analysis | On-site repair, emergency response, novel fault diagnosis |
Recommended upskilling interventions
Green Skills and Sustainability unit AI and Data for Business unit Digital Skills for Work unitWhat employers should do now
2. Tier your training
Not everyone needs the same AI training. Segment into foundation (all staff), practitioner (AI-heavy roles), and advanced (technical/strategic). Generic awareness training has the lowest ROI.
3. Access free and funded routes
The AI Skills Boost programme is free for all UK employees. Apprenticeship units and the Growth and Skills Levy can fund practitioner and advanced-tier training. Most employers are not yet accessing these routes.
4. Measure ROI, not just completion
61% of L&D leaders can't demonstrate AI training ROI because they didn't build measurement in from the start. Set task-time and adoption-rate targets before training begins, not after.
Sources
- GOV.UK (2026). AI Skills for Life and Work: Labour Market and Skills Projections. Skills England / DSIT.
- IPPR (2023/2024). Up to 8 Million UK Jobs at Risk from AI Unless Government Acts. Institute for Public Policy Research.
- Prince AI Training / GlobeNewswire (March 2026). 92% of UK Businesses Falling Behind on the AI Adoption Curve.
- ManpowerGroup (2026). AI Skills Shortage Tops Employer Concerns. Workplace Journal.
- DataCamp (2026). AI ROI in 2026: Why Workforce Capability Determines the Return on AI.
- Gartner (January 2026). Top Future of Work Trends for CHROs in 2026.
Analyse your workforce risk and build a funded training plan
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