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

Soudeurs and AI

Low exposureAI score 3/10 · Manufacturing
3out of 10
JPE Score
Net salary
No DARES figure
not published: no DARES median for this occupation's cells
Forecast 2030
-10% to +5%
Employment 2024
34K
DARES, incl. self-employed
Employment growth 2021-2024 (DARES)
-17%
Forecast trend 2025-2030
stable
Part-time
2%
Female share
5%
Sector
Manufacturing

Exposure scores

JPE (Practical Exposure)3/10 · Low exposure
Employment growth 2021-2024 (DARES)-17%

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.

Soudeurs 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 Soudeurs?

Expected employment change, 2025 to 2030
-10% to +5%
Midpoint -3% · Stable: invest in AI skills
BaseMétiers 2030 projection, without AI-2%
Base + AIJPE 3/10: 0%-2%
Base + AI + roboticsphysical automation, already under way: −0.5%-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 -10% to +5% matters more than the midpoint. Robotics: Welding robots have long been standard in series production (automotive, aerospace, shipbuilding) and are in the trend; cobot welding in SMEs grows slowly and robot installations are falling (2024: -24%, IFR), so at most a small acceleration. (Expert estimate 5/10, effect to 2030 between 0% and −1%.)

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: not published (no DARES median for this occupation's cells). 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

Manufacturing and AI

Soudeurs belongs to the Manufacturing sector. Occupations in Manufacturing 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?

ChatGPTSiemens MindSphere

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

Deploy AI quality inspection systems

Machine vision catches defects 10x faster than manual checks

→ Sight Machine, Cognex
Implement predictive maintenance

Unplanned downtime drops 30-50% with AI monitoring

→ Siemens MindSphere, Augmentir
Optimise processes with AI analytics

Small efficiency gains compound across millions of units

→ Sight Machine, Tulip

Related occupations

Similar occupations on the map

Agents de maîtrise industriels
AI 5/10·0% 2030
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Ouvriers de l'industrie alimentaire
AI 3.5/10·-2% 2030
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Ouvriers de production industrielle
AI 4/10·-8% 2030
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Chirurgiens-dentistes
AI 4/10·+6% 2030
Healthcare
Psychologues
AI 4.5/10·+4% 2030
Healthcare

International

This occupation in other countries

🇺🇸Welders, Cutters, Solderers, and Brazers
AI 3/10Welders, Cutters, Solderers, and Brazers
🇩🇪Schweißer/innen
AI 3/10Welders
🇬🇧Welding Trades
AI 3/10Welding Trades

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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