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

Pharmaciens and AI

High exposureAI score 6.5/10 · Healthcare
6.5out of 10
JPE Score
Median net salary (DARES)
€42K
net per year, partly the median of the parent DARES family
Forecast 2030
-10% to +5%
Employment 2024
77K
DARES, incl. self-employed
Employment growth 2021-2024 (DARES)
-1%
Forecast trend 2025-2030
decline
Part-time
20%
Female share
65%
Sector
Healthcare

Exposure scores

JPE (Practical Exposure)6.5/10 · High exposure
Employment growth 2021-2024 (DARES)-1%

AI exposure explained

What does an AI score of 6.5/10 mean?

Interpretation

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

AI exposure for Pharmaciens 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 Pharmaciens?

Expected employment change, 2025 to 2030
-10% to +5%
Midpoint -4% · Declining occupation: look at related growth occupations
BaseMétiers 2030 projection, blended with the DARES trend 2013-2019 and 2021-2024 (long-term decline)-1%
Base + AIJPE 6.5/10: −3.1%-4%
Base + AI + roboticslow expert score (2/10), no robotics effect counted-4%
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.

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, for codes without an own figure the median of the parent occupational family, 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

Healthcare and AI

Pharmaciens belongs to the Healthcare sector. Occupations in Healthcare 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?

Ada HealthNuance DAXChatGPTDoctolib 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 (Healthcare) and AI exposure level, here are three concrete steps to future-proof your career.

Get certified in clinical AI tools

AI-assisted diagnostics are entering standard care in France

→ Doctolib AI, Nuance DAX
Understand AI bias in healthcare

Patient safety requires human oversight of AI

→ WHO AI ethics guidelines, HAS recommendations
Use AI for clinical documentation

Reduce admin burden by 40%, focus on patient care

→ Nuance DAX, ambient AI scribes

Related occupations

Similar occupations on the map

Médecins
AI 6/10·+3% 2030
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Chirurgiens-dentistes
AI 4/10·+6% 2030
Healthcare
Psychologues
AI 4.5/10·+4% 2030
Healthcare
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

🇺🇸Pharmacists
AI 6/10Pharmacists
🇩🇪Apotheker/innen
AI 6/10Pharmacists
🇬🇧Pharmacists
AI 6.5/10Pharmacists

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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