Simon Janssen
Simon Janssen· CTO at HappyNurse · UK AI Exposure Map 2026
Care & Social Work

Senior Care Workers and AI

Moderate exposureAI score 3.5/10 · Care & Social Work
3.5out of 10
JPE Score
Median salary
£25K
ASHE 2024
Forecast 2030
0% to +10%
Employment
111K
ONS APS 2025
Employment growth 2021-2025 (ONS APS)
+53%
Forecast trend 2025-2030
growth
Part-time
17%
Female share
77%
Sector
Care & Social Work

Exposure scores

JPE (Practical Exposure)3.5/10 — Moderate exposure
Employment growth 2021-2025 (ONS APS)+53%

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.

Senior Care Workers has low AI exposure and grew in recent years. This occupation relies on human-centred demand that AI cannot easily replicate.


Forecast 2030

What changes for Senior Care Workers?

Expected employment change, 2025 to 2030
0% to +10%
Midpoint +5% · Growth occupation: expected demand rises
Basenational projection, without AI+5%
Base + AIJPE 3.5/10: 0%+5%
Base + AI + roboticsno robotics effect before 2030+5%
Rows add up: the bottom row is the forecast.

The forecast starts from the national projection per occupational group and adds AI and robotics as separate layers. The band of 0% to +10% matters more than the midpoint.

Sources: base DfE Labour market and skills projections 2020 to 2035 (Working Futures), baseline · jobs, part-time and female share: ONS Annual Population Survey (Nomis NM_218_1), 2025 · salary: ASHE 2024. Working Futures differentiates growth only at the level of 26 occupational sub-major groups; the AI and robotics layers refine per occupation.

Read the methodology →


Simon Janssen
The person behind this map

I build with AI. And I track what it does to work.

I'm Simon Janssen, CTO and management board member at HappyNurse. This map shows, occupation by occupation, what AI does to work, based on official labour-market data rather than hype. On LinkedIn I share what I see as a CTO: what AI is already taking over, what it isn't, and what that means for people.


Sector context

Care & Social Work and AI

Senior Care Workers belongs to the Care & Social Work sector. This sector has an education level index of 1/4, indicating lower formal education requirements. Occupations in Care & Social Work 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?

ChatGPTMicrosoft Copilot

Career outlook

AI as an asset

This occupation is not directly threatened by AI. The smartest move is to learn the AI tools that strengthen your work: not because you have to, but because it makes you more productive and valuable.


Personal development

Personal development plan

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

Use AI for case management and documentation

Reduce paperwork by 50% and focus on client outcomes

→ Casebook, Microsoft Copilot
Adopt outcome prediction tools

AI helps prioritise interventions for highest impact

→ Unite Us, Salesforce Nonprofit Cloud
Streamline intake with AI assistants

Faster, more accurate assessments improve service delivery

→ ChatGPT, Casebook

Related occupations

Similar occupations on the map

Nursing Auxiliaries and Assistants
AI 3.5/10·+5% 2030
Care & Social Work
Care Workers and Home Carers
AI 3/10·+5% 2030
Care & Social Work
Childminders and Related Occupations
AI 2/10·+5% 2030
Care & Social Work
Production Managers in Manufacturing
AI 5/10·+3% 2030
Management
Health Services Managers
AI 5/10·+3% 2030
Management

International

This occupation in other countries

🇺🇸Home Health and Personal Care Aides
AI 3/10Home Health and Personal Care Aides
🇩🇪Altenpfleger/innen
AI 4/10Geriatric Nurses
🇫🇷Aides à domicile
AI 2.5/10Home Care Workers

About this analysis

AI scores are LLM-estimated using the same methodology as the Dutch AI Exposure Map, making scores directly comparable across countries. Where shown, the Felten AIOE score is an academic reference. Job counts, growth 2021-2025, part-time and female share from the ONS Annual Population Survey (Nomis NM_218_1), SOC 2020; salaries from ASHE 2024 (an estimate where ASHE has no figure). The 2030 forecast (JPE-prognose v3) starts from the DfE Working Futures baseline and adds separate AI and robotics layers. These are modelled scenarios, not predictions. A high AI score does not automatically mean job loss. All data CC BY 4.0.

Full methodology, sources and download →


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