Simon Janssen
Simon Janssen· CTO at HappyNurse · FR AI Exposure Map 2026
Social Work

Assistants sociaux and AI

Moderate exposureAI score 4/10 · Social Work
4out of 10
JPE Score
Median net salary (DARES)
€24K
net per year, employees only
Forecast 2030
-5% to +10%
Employment 2024
110K
DARES, incl. self-employed
Employment growth 2021-2024 (DARES)
-2%
Forecast trend 2025-2030
growth
Part-time
23%
Female share
88%
Sector
Social Work

Exposure scores

JPE (Practical Exposure)4/10 · Moderate exposure
Employment growth 2021-2024 (DARES)-2%

AI exposure explained

What does an AI score of 4/10 mean?

Interpretation

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

For Assistants sociaux, AI exposure is moderate: some tasks will be assisted or automated, but the occupation as a whole is expected to evolve rather than disappear. Staying current with AI tools in the field is the key adaptation.


Forecast 2030

What changes for Assistants sociaux?

Expected employment change, 2025 to 2030
-5% to +10%
Midpoint +3% · Growth occupation: expected demand rises
BaseMétiers 2030 projection, without AI+3%
Base + AIJPE 4/10: 0%+3%
Base + AI + roboticsno robotics effect before 2030+3%
Rows add up: the bottom row is the forecast.

The forecast starts from the national projection per occupational family and adds AI and robotics as separate layers. The band of -5% to +10% matters more than the midpoint.

Sources: base France Stratégie / DARES, Les métiers en 2030 (reference scenario) · jobs, growth 2021-2024, part-time and female share: DARES Portraits statistiques des métiers (FAP 2021), 2024 (incl. self-employed and civil servants) · salary: DARES net median 2023-2025, employees only. Les métiers en 2030 was made on a 2019 base, before generative AI, and differentiates growth per FAP 87 family (FAP 2009); several occupations share a family or are broad proxies. The AI and robotics layers refine per occupation. Salaries are net, not gross.

Read the methodology →


Sector context

Social Work and AI

Assistants sociaux belongs to the Social Work sector. Occupations in 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 (Social Work) and AI exposure level, here are three concrete steps to future-proof your career.

Use AI for case notes and reports

Less time on paperwork, more time with the people you support

→ Microsoft Copilot, ChatGPT
Learn the limits of AI in social work

Assessments about people need human judgement and data protection (GDPR)

→ CNIL guidelines
Build digital inclusion skills

Helping clients with online public services is a growing part of the job

→ France Services, Pix

Related occupations

Similar occupations on the map

Éducateurs spécialisés
AI 3.5/10·+3% 2030
Social Work
Dirigeants d'entreprise
AI 5.5/10·+2% 2030
Management
Chirurgiens-dentistes
AI 4/10·+6% 2030
Healthcare

International

This occupation in other countries

🇺🇸Child, Family, and School Social Workers
AI 4/10Child, Family, and School Social Workers
🇩🇪Sozialarbeiter/innen und Sozialpädagog/innen
AI 4/10Social Workers
🇬🇧Social Workers
AI 4/10Social 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. Employment 2024, growth 2021-2024, part-time and female share from DARES, Portraits statistiques des métiers (FAP 2021, all workers including self-employed and civil servants); salaries are the DARES net median 2023-2025 for employees, not gross. Occupations are mapped to one or more FAP 2021 families; some are broad proxies or share a family. The 2030 forecast (JPE-prognose v3) starts from Les métiers en 2030 (France Stratégie and DARES, 2019 base) and adds separate AI and robotics layers. These are modelled scenarios, not predictions. A high AI score does not automatically mean job loss. DARES data under Licence Ouverte 2.0; our dataset CC BY 4.0.

Full methodology, sources and download →


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