Simon Janssen
Simon Janssen· CTO at HappyNurse · UK AI Exposure Map 2026
Healthcare

Midwives and AI

Moderate exposureAI score 3.5/10 · Healthcare
3.5out of 10
JPE Score
Median salary
£38K
Forecast 2030
+0%
Employment
36K
ONS growth (5yr)
+2%
Trend
stable
Sector
Healthcare

Exposure scores

JPE (Practical Exposure)3.5/10 — Moderate exposure
ONS growth projection (5yr)+2%

AI exposure explained

What does an AI score of 3.5/10 mean?

Interpretation

Moderate exposure — Parts of this work can be assisted by AI. The role will evolve but not disappear.

Midwives has low AI exposure, meaning most tasks require physical presence, interpersonal skills, or tacit knowledge that AI cannot automate in the near term.


Forecast 2030

What changes for Midwives?

Modeled employment change by 2030
+0%
Disruption risk: Medium

This model combines ONS Labour Force Survey projections (interpolated to 2030) with an AI disruption factor calibrated for the UK labour market (flexible employment, moderate union density, NHS workforce dynamics). A range of +0% means employment for Midwives is modeled to grow by 2030. This is a scenario, not a prediction.


Sector context

Healthcare and AI

Midwives belongs to the Healthcare sector. This sector has an education level index of 4/4, indicating higher formal education requirements. Occupations in Healthcare with high AI exposure tend to remain relatively stable as the work relies primarily on physical, interpersonal, or contextual skills.


AI tools

Which AI tools are already making an impact?

Ada HealthNuance DAX

Career outlook

Low exposure — Leverage AI to enhance your strengths

Direct AI impact is limited, but the world around you is changing. Use AI where it supports your work and keep investing in what makes this occupation uniquely human.


Personal development

Personal development plan

Based on your sector (Healthcare) and AI exposure level, here are three concrete steps to future-proof your career.

Get certified in clinical AI tools

AI-assisted diagnostics are entering standard NHS care

NHS AI Lab tools, Nuance DAX
Understand AI bias in healthcare

Patient safety requires human oversight of AI

WHO AI ethics guidelines, NICE Evidence Standards
Use AI for clinical documentation

Reduce admin burden by 40%, focus on patient care

Nuance DAX, ambient AI scribes

Related occupations

Similar occupations on the map

Medical Practitioners
AI 6/10·-3% 2030
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Psychologists
AI 4.5/10·+2% 2030
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Pharmacists
AI 6.5/10·-5% 2030
Healthcare
Production Managers in Manufacturing
AI 5/10·-5% 2030
Management
Health Services Managers
AI 5/10·-3% 2030
Management

International

This occupation in other countries

🇫🇷Sages-femmes
AI 3.5/10Midwives

About this analysis

AI scores are LLM-estimated using the same methodology as the Dutch AI Exposure Map, making scores directly comparable across countries. The JPE methodology score is shown as an academic reference. Employment and salary data from ONS ASHE 2024. A high AI score does not automatically mean job loss — Software Developers score 9/10 but ONS data shows continued strong demand. The 2030 forecast interpolates ONS employment projections to a 2030 horizon and adjusts with AI disruption pressure. These are modeled scenarios, not predictions. All data CC BY 4.0.

Full methodology, sources and download →


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