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

Agents d'accueil et réceptionnistes and AI

Moderate exposureAI score 6/10 · Administrative
6out of 10
JPE Score
Median net salary (DARES)
€19K
net per year, employees only
Forecast 2030
-20% to -5%
Employment 2024
103K
DARES, incl. self-employed
Employment growth 2021-2024 (DARES)
-10%
Forecast trend 2025-2030
decline
Part-time
27%
Female share
78%
Sector
Administrative

Exposure scores

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

AI exposure explained

What does an AI score of 6/10 mean?

Interpretation

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

AI exposure for Agents d'accueil et réceptionnistes is moderate, but employment is still expected to decline, driven mainly by the long-term decline in employment (2013-2019 and 2021-2024) and the Métiers 2030 projection for this occupational family. Look at related roles with better prospects and at the tasks that stay human.


Forecast 2030

What changes for Agents d'accueil et réceptionnistes?

Expected employment change, 2025 to 2030
-20% to -5%
Midpoint -12% · Declining occupation: look at related growth occupations
BaseMétiers 2030 projection, blended with the DARES trend 2013-2019 and 2021-2024 (long-term decline)-10%
Base + AIJPE 6/10: −2.5%-12%
Base + AI + roboticslow expert score (2/10), no robotics effect counted-12%
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 -20% 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

Administrative and AI

Agents d'accueil et réceptionnistes belongs to the Administrative sector. Occupations in Administrative 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?

Microsoft CopilotChatGPTNotion AI

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. Invest in the strategic, coordinating or advisory side of your field: it is less likely to become redundant. France Travail and your CPF training account can fund training.


Personal development

Personal development plan

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

Master document and email automation

AI handles 80% of routine correspondence and formatting

→ Microsoft Copilot, Grammarly
Implement AI scheduling and coordination

Calendar management and booking become hands-free

→ Microsoft Copilot, Reclaim AI
Optimise workflows with no-code AI

Automate repetitive processes without coding skills

→ Notion AI, Zapier AI

Related occupations

Similar occupations on the map

Secrétaires
AI 7.5/10·-18% 2030
Administrative
Agents administratifs de la fonction publique
AI 7/10·-12% 2030
Administrative
Conseillers clientèle
AI 7.5/10·-9% 2030
Administrative
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

🇩🇪Empfangskräfte und Rezeptionist/innen
AI 5/10Receptionists
🇬🇧Receptionists
AI 6/10Receptionists

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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