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

Professeurs agrégés et certifiés and AI

Moderate exposureAI score 5.5/10 · Education
5.5out of 10
JPE Score
Median net salary (DARES)
€32K
net per year, employees only
Forecast 2030
-10% to +5%
Employment 2024
598K
DARES, incl. self-employed
Employment growth 2021-2024 (DARES)
0%
Forecast trend 2025-2030
stable
Part-time
17%
Female share
59%
Sector
Education

Exposure scores

JPE (Practical Exposure)5.5/10 · Moderate exposure
Employment growth 2021-2024 (DARES)0%

AI exposure explained

What does an AI score of 5.5/10 mean?

Interpretation

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

For Professeurs agrégés et certifiés, 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 Professeurs agrégés et certifiés?

Expected employment change, 2025 to 2030
-10% to +5%
Midpoint -2% · Stable: invest in AI skills
BaseMétiers 2030 projection, without AI0%
Base + AIJPE 5.5/10: −1.9%-2%
Base + AI + roboticsno robotics effect before 2030-2%
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 -10% to +5% 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

Education and AI

Professeurs agrégés et certifiés belongs to the Education sector. Occupations in Education with high AI exposure tend to experience selective automation of routine tasks while human judgment remains central.


AI tools

Which AI tools are already making an impact?

ChatGPTKhan Academy AIGrammarlyPix (certification)

Career outlook

Deepen the human side

AI is changing parts of this work, but the jobs are expected to remain. Focus on the tasks where human judgment, relationships or creativity are central: those become more valuable. Combine that with strong AI skills.


Personal development

Personal development plan

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

Design AI-enhanced curricula

Adaptive learning paths improve student outcomes by 30%

→ Khan Academy AI, NotebookLM
Implement personalised learning tools

AI tutors complement classroom instruction for every level

→ Pix, Khanmigo
Automate assessment and feedback

Instant, detailed feedback frees up time for mentoring

→ Grammarly, Turnitin AI

Related occupations

Similar occupations on the map

Professeurs des universités
AI 6.5/10·-3% 2030
Education
Professeurs des écoles
AI 5/10·-1% 2030
Education
Dirigeants d'entreprise
AI 5.5/10·+2% 2030
Management
Cadres administratifs et financiers
AI 7/10·+1% 2030
Business & Finance

International

This occupation in other countries

🇺🇸Secondary School Teachers
AI 6/10Secondary School Teachers
🇩🇪Lehrkräfte Sekundarstufe
AI 6/10Secondary School Teachers
🇬🇧Secondary Education Teachers
AI 5.5/10Secondary Education Teachers

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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