Simon Janssen
Simon Janssen· CTO at HappyNurse · FR AI Exposure Map 2026
Science & Engineering

Techniciens informatiques and AI

High exposureAI score 7.5/10 · Science & Engineering
7.5out of 10
JPE Score
Median net salary (DARES)
€25K
net per year, employees only
Forecast 2030
-10% to +5%
Employment 2024
253K
DARES, incl. self-employed
Employment growth 2021-2024 (DARES)
+2%
Forecast trend 2025-2030
stable
Part-time
6%
Female share
17%
Sector
Science & Engineering

Exposure scores

JPE (Practical Exposure)7.5/10 · High exposure
Employment growth 2021-2024 (DARES)+2%

AI exposure explained

What does an AI score of 7.5/10 mean?

Interpretation

High exposure: many tasks in this occupation can be automated or AI-assisted. Adaptation is key.

High AI exposure changes the work of Techniciens informatiques substantially, but employment is expected to stay roughly stable. Where AI takes over routine tasks, the role shifts toward judgement, client contact and oversight.


Forecast 2030

What changes for Techniciens informatiques?

Expected employment change, 2025 to 2030
-10% to +5%
Midpoint -2% · Work changes strongly through AI, jobs remain
BaseMétiers 2030 projection, without AI+2%
Base + AIJPE 7.5/10: −4.3%-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.

Note: Whole IT technicians family (development, operations and support).

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

Science & Engineering and AI

Techniciens informatiques belongs to the Science & Engineering sector. Occupations in Science & Engineering with high AI exposure tend to see significant task restructuring as AI tools handle information-intensive work.


AI tools

Which AI tools are already making an impact?

GitHub CopilotChatGPTMATLAB CopilotAutoCAD AI

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 (Science & Engineering) and AI exposure level, here are three concrete steps to future-proof your career.

Master AI pair programming

Developers using AI tools are 2-3x more productive

→ GitHub Copilot, Cursor
Learn prompt engineering for code

Directing AI effectively is a core dev skill now

→ Anthropic docs, OpenAI cookbook
Build AI-integrated apps

Every application will have an AI layer within 3 years

→ LangChain, Vercel AI SDK

Related occupations

Similar occupations on the map

Ingénieurs informatiques
AI 9/10·+4% 2030
Science & Engineering
Ingénieurs et cadres techniques
AI 6.5/10·+7% 2030
Science & Engineering
Chercheurs
AI 7/10·+2% 2030
Science & Engineering
Cadres administratifs et financiers
AI 7/10·+1% 2030
Business & Finance
Cadres commerciaux
AI 6.5/10·+4% 2030
Retail & Sales

International

This occupation in other countries

🇺🇸Computer User Support Specialists
AI 7/10Computer User Support Specialists
🇩🇪IT-Helpdesk und Support
AI 7/10IT Support Specialists
🇬🇧IT User Support Technicians
AI 7/10IT User Support Technicians

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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