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

Aides-soignants and AI

Low exposureAI score 3/10 · Healthcare
3out of 10
JPE Score
Median net salary (DARES)
€24K
net per year, employees only
Forecast 2030
0% to +10%
Employment 2024
489K
DARES, incl. self-employed
Employment growth 2021-2024 (DARES)
+5%
Forecast trend 2025-2030
growth
Part-time
23%
Female share
90%
Sector
Healthcare

Exposure scores

JPE (Practical Exposure)3/10 · Low exposure
Employment growth 2021-2024 (DARES)+5%

AI exposure explained

What does an AI score of 3/10 mean?

Interpretation

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

Aides-soignants 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 Aides-soignants?

Expected employment change, 2025 to 2030
0% to +10%
Midpoint +7% · Growth occupation: expected demand rises
BaseMétiers 2030 projection, without AI+7%
Base + AIJPE 3/10: 0%+7%
Base + AI + roboticsno robotics effect before 2030+7%
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 0% 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

Healthcare and AI

Aides-soignants belongs to the Healthcare sector. 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

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 (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 care in France

→ Doctolib AI, Nuance DAX
Understand AI bias in healthcare

Patient safety requires human oversight of AI

→ WHO AI ethics guidelines, HAS recommendations
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

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AI 6/10·+3% 2030
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AI 6.5/10·-4% 2030
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Chirurgiens-dentistes
AI 4/10·+6% 2030
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Éducateurs spécialisés
AI 3.5/10·+3% 2030
Social Work
Assistants sociaux
AI 4/10·+3% 2030
Social Work

International

This occupation in other countries

🇬🇧Nursing Auxiliaries and Assistants
AI 3.5/10Nursing Auxiliaries and 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. 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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