What will AI change in your workforce?

Your company's stance on AI(applies to every family: sets the adoption speed)

Medical affairs and MSL

ISCO-08 2262, 2131

Medical science liaison, Medical advisor, Medical manager, Therapeutic area medical lead, Medical director

AI exposure36%

Headcount need, in FTE

Exposure range
FTE
Need in 203094 FTE-6 FTE (-6%)
Need in 203588 FTE-12 FTE (-12%)
10080604020262028203020322035
How AI is used on these tasks todayIn 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: Medical Scientists, Except Epidemiologists, Pharmacists. AEI
Average automation potential of the job's tasks. Range for this family: 24 to 50%.ILO occupations used: Pharmacists (33%), Biologists, Botanists, Zoologists and Related Professionals (40%). ILO data
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.
Default 35%: Saved time is reinvested in expert interactions and evidence generation, as physicians and authorities expect more scientific depth from companies.

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

Job skills

Growing in value

  • Critical appraisal of AI literature summaries
  • Scientific exchange with key opinion leaders
  • Designing real-world evidence studies
  • Structuring field medical insights

Losing value

  • Manual literature monitoring
  • Writing congress reports
  • Preparing training materials for sales teams
  • Formatting scientific slide decks

How the job will change

In medical affairs, a large share of time goes into literature monitoring, congress reports, slide decks and training for field teams. AI assistants now screen publications, summarise posters within hours of a congress and draft the first version of a scientific deck. Insights reported by MSLs after their visits can be tagged and grouped automatically, a task that was done by hand until now.

The core of the job stays human: discussing data with an expert who disagrees, judging what a subgroup analysis really shows, deciding which evidence gap justifies a study. A good MSL or medical advisor will read AI summaries with the same suspicion as a weak publication, and spend the time saved in front of experts and on real-world evidence projects.

2026-2027
AI literature monitoring and congress summaries become routine.
2028-2030
Field insights analysed continuously and shared with marketing and R&D.
2031+
Teams stable in size, more focused on evidence generation.
Watch out

An MSL with deep expertise in a therapeutic area takes years to develop and is poached at every competitor launch. The planning risk here is a shortage of profiles. See the seniority outlook below.

What if you hired fewer juniors?

Your 2036 seniors are the juniors you hire today.

Seniors available in 2036-5%2 FTE short
Gap above 5% from2036
Your seniority mix today
Mid-level (3 to 10 yrs in the profession, the remainder)45%
For
Advanced settings
If every company makes the same bet, senior profiles will be scarce and expensive.
80601002026203020342040Senior need (held stable)Seniors available
Seniority mix, % of today's headcount
Juniors25%Mid-level42%Seniors28%

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

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