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

Childminders and Related Occupations and AI

Low exposureAI score 2/10 · Care & Social Work
2out of 10
JPE Score
Median salary
£20K
ASHE 2024
Forecast 2030
0% to +10%
Employment
65K
ONS APS 2025
Employment growth 2021-2025 (ONS APS)
-22%
Forecast trend 2025-2030
growth
Part-time
37%
Female share
96%
Sector
Care & Social Work

Exposure scores

JPE (Practical Exposure)2/10 — Low exposure
Employment growth 2021-2025 (ONS APS)-22%

AI exposure explained

What does an AI score of 2/10 mean?

Interpretation

Low exposure — AI is unlikely to significantly change this occupation in the near term.

Childminders and Related Occupations 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 Childminders and Related Occupations?

Expected employment change, 2025 to 2030
0% to +10%
Midpoint +5% · Growth occupation: expected demand rises
Basenational projection, without AI+5%
Base + AIJPE 2/10: 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

Childminders and Related Occupations 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?

ChatGPT

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
Senior Care Workers
AI 3.5/10·+5% 2030
Care & Social Work
Physiotherapists
AI 3.5/10·+5% 2030
Healthcare
Midwives
AI 3.5/10·+5% 2030
Healthcare

International

This occupation in other countries

🇺🇸Childcare Workers
AI 3/10Childcare Workers
🇫🇷Auxiliaires de puériculture
AI 2/10Childcare Assistants

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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