Medical information

ISCO-08 2262, 4222, 3344

Medical information specialist, Medical information pharmacist, Medical information manager, Scientific response writer, Medical information contact centre advisor

AI exposure48%

Headcount need, in FTE

Exposure range

Your current headcount

FTE

Need in 203084 FTE-16 FTE (-16%)

Need in 203569 FTE-31 FTE (-31%)

How AI is used on these tasks today

Automation 35%Augmentation 65%

In AI conversations about this job's tasks: the AI does the task itself (automation) or helps the person do it (augmentation).Anthropic Economic Index, April and May 2026. Occupations: Pharmacists, Customer Service Representatives. AEI

1. Exposure 48%Average automation potential of the job's tasks. Range for this family: 24 to 64%.ILO occupations used: Pharmacists (33%), Contact Centre Information Clerks (58%), Medical Secretaries (53%). ILO data

2. Strategic ceiling 100%Your call: how much of this potential do you want to capture? Nobody can set it for you.

3. Adoption speed midpoint 2030

Inherits your company stance, adjustable for this family.

4. Conversion to headcount sensitive 65%Default 65%: Enquiry volumes do not grow with team capacity, so standard answers drafted by AI quickly translate into smaller response teams.

Target AI skills

level 1 to 4

Foundation

Use AI assistants every day

Frame and phrase a request

Check and challenge AI outputs

Protect data and respect the rules

Applied

Rethink one's process with AI

Analyse data with AI

Produce content with AI

Delegate to and supervise AI agents

Expert

Evaluate and make AI solutions reliable

Job skills

Growing in value

Validating AI-generated scientific responses
Maintaining the standard response library
Handling complex and off-label enquiries
Spotting adverse events and complaints in enquiries

Losing value

Searching documents for standard answers
Writing routine response letters
Logging and categorising enquiries
First-line handling of simple calls

How the job will change

Medical information answers questions from healthcare professionals and patients about dosing, interactions, stability or use in special populations. Most enquiries are repeats covered by a standard response. AI assistants built on the approved response library can now find the right document, draft a tailored answer and log the enquiry, while chat interfaces take part of the first-line traffic.

People focus on what the system should not handle alone: complex or off-label questions, enquiries that hide an adverse event or a quality complaint, and the upkeep of the response library itself. A good medical information professional tomorrow writes and maintains reference content that an AI will reuse thousands of times, and checks its answers with a pharmacist's rigour.

2026-2027: Assistants draft answers from the approved response library.
2028-2030: Chat channels handle routine questions; teams shrink and pool across countries.
2031+: Small expert teams owning content, escalations and safety detection.

Watch out

The main risk is over-automation: an adverse event or off-label request missed by a chatbot is a compliance failure. Keep enough pharmacists to review samples and escalations. See the seniority outlook below.

What if you hired fewer juniors?

Your 2036 seniors are the juniors you hire today.

Seniors available in 2036-10%2 FTE short

Gap above 5% from2031

Your seniority mix today

Juniors (0 to 2 yrs in the profession)35%Seniors (6+ yrs)20%

Mid-level (2 to 6 yrs in the profession, the remainder)45%

Cut in junior hiring -40%

For

Advanced settings

Juniors promoted each year33%Juniors leaving each year15%Senior gap filled by external hiring0%If every company makes the same bet, senior profiles will be scarce and expensive.

Seniority mix, % of today's headcount

Juniors35%Mid-level42%Seniors18%

2026 2036

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How the numbers are built

Every headcount figure combines four assumptions. Three come pre-filled from public research and job family defaults. The strategic ceiling is yours to set.

Public researchExposureAverage automation potential of the job's tasks, from the ILO's 2025 task-level scores.

Your decisionStrategic ceilingHow much of that potential you choose to capture. Your decision, not ours.

Your companyAdoption speedHow fast your company moves, set once for the whole company.

Job family defaultConversion to headcountHow much of the productivity gain becomes fewer people rather than more output.

Headcount effect

Seniority outlook

A flow model with three levels of experience in the profession. Promotion and exit rates are set so that today's mix stays stable when hiring does not change: any gap you see comes from the junior hiring cut alone.