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

Opérateurs de machines and AI

Moderate exposureAI score 4.5/10 · Manufacturing
4.5out of 10
JPE Score
Median net salary (DARES)
€24K
net per year, employees only
Forecast 2030
-15% to 0%
Employment 2024
106K
DARES, incl. self-employed
Employment growth 2021-2024 (DARES)
-6%
Forecast trend 2025-2030
decline
Part-time
3%
Female share
10%
Sector
Manufacturing

Exposure scores

JPE (Practical Exposure)4.5/10 · Moderate exposure
Employment growth 2021-2024 (DARES)-6%

AI exposure explained

What does an AI score of 4.5/10 mean?

Interpretation

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

AI exposure for Opérateurs de machines is moderate, but employment is still expected to decline, driven mainly by physical automation and robotics. Look at related roles with better prospects and at the tasks that stay human.


Forecast 2030

What changes for Opérateurs de machines?

Expected employment change, 2025 to 2030
-15% to 0%
Midpoint -7% · Declining occupation: look at related growth occupations
BaseMétiers 2030 projection, blended with the DARES trend 2013-2019 and 2021-2024 (long-term decline)-6%
Base + AIJPE 4.5/10: −0.6%-6%
Base + AI + roboticsphysical automation, already under way: −0.5%-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 -15% to 0% matters more than the midpoint. Robotics: One operator runs ever more machines and this is in the trend; with falling robot investment (IFR 2024: -24%) no major acceleration before 2030. (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: 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

Manufacturing and AI

Opérateurs de machines 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

Reskilling direction

This occupation is expected to decline, mainly due to lower demand, the long-term employment trend or automation of physical work rather than AI. The directions below match your current skills and education level and have better prospects. France Travail and your CPF training account can fund the switch.

Construction LabourersJPE 1.5/10
Construction & Trades
Forklift DriversJPE 4/10
Transport & Logistics
Construction TradespeopleJPE 2.5/10
Construction & Trades

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
Manufacturing
Soudeurs
AI 3/10·-3% 2030
Manufacturing
Ouvriers de l'industrie alimentaire
AI 3.5/10·-2% 2030
Manufacturing
Dirigeants d'entreprise
AI 5.5/10·+2% 2030
Management
Médecins
AI 6/10·+3% 2030
Healthcare

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 →


Explore more

View all French occupations on the map →Take the full career scan →

Share this analysis