Simon Janssen
Simon Janssen· CTO at HappyNurse · FR AI Exposure Map 2026
Transport & Logistics

Caristes and AI

Moderate exposureAI score 4/10 · Transport & Logistics
4out of 10
JPE Score
Median net salary (DARES)
€22K
net per year, employees only
Forecast 2030
0% to +10%
Employment 2024
125K
DARES, incl. self-employed
Employment growth 2021-2024 (DARES)
+3%
Forecast trend 2025-2030
growth
Part-time
2%
Female share
5%
Sector
Transport & Logistics

Exposure scores

JPE (Practical Exposure)4/10 · Moderate exposure
Employment growth 2021-2024 (DARES)+3%

AI exposure explained

What does an AI score of 4/10 mean?

Interpretation

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

For Caristes, 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 Caristes?

Expected employment change, 2025 to 2030
0% to +10%
Midpoint +6% · Growth occupation: expected demand rises
BaseMétiers 2030 projection, without AI+7%
Base + AIJPE 4/10: 0%+7%
Base + AI + roboticsphysical automation, already under way: −1%+6%
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. Robotics: Autonomous forklifts and AGVs (including French firm Balyo) are used in large distribution centres and are partly in the trend; further rollout in new warehouses gives a small extra decline. (Expert estimate 5/10, effect to 2030 between 0% and −2%.)

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

Transport & Logistics and AI

Caristes belongs to the Transport & Logistics sector. Occupations in Transport & Logistics 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?

ChatGPTOptibus

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

Implement AI route optimisation

Fuel costs drop 10-15% with dynamic routing

→ Google Maps Platform, Samsara
Adopt fleet management AI

Predictive maintenance reduces breakdowns and downtime

→ Samsara, Motive
Automate compliance and logging

AI handles tachograph records and driving hours compliance automatically

→ Samsara, Webfleet

Related occupations

Similar occupations on the map

Facteurs et livreurs
AI 5/10·-9% 2030
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Manutentionnaires et magasiniers
AI 4.5/10·+5% 2030
Transport & Logistics
Chauffeurs routiers
AI 4/10·+1% 2030
Transport & Logistics
Dirigeants d'entreprise
AI 5.5/10·+2% 2030
Management
Chirurgiens-dentistes
AI 4/10·+6% 2030
Healthcare

International

This occupation in other countries

🇬🇧Fork-lift Truck Drivers
AI 4/10Fork-lift Truck Drivers

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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