Automation index
How much of a Medical sales rep’s job can AI already do?
A leave-behind comes earlier. Getting into clinic without selling smoke to the doctor do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Medical sales rep
22%
AI can already do 22% of this job.
#401 / 633
View rankingMedical sales rep
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Route, leave-behind and the call.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Clinic, the minute and the one who will not see you.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Trial, the SmPC and not over-claiming.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Pharmacy, stock and the one who will not order.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The code, compliance and not over-hosting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Get in for real, and not selling smoke.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- call routes
- leave-behinds
- SmPC
- pharmacies
- compliance
- trials
- clinics
- not over-claim
Sources for this job· O*NET 41-4011.00· ESCO/ISCO 2433
IS WORK OVER?
Station master
23%
#302 / 633
View rankingStation master
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Graph, orders and the station log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Platforms, the crossing and the late train.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Staff, shifts and the ticket-office gap.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Incident, passengers and the PA.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Works, closures and leaving nobody on the platform.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they do not meet, and signing the graph.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- train graph
- orders
- platforms
- ticket office
- PA
- line crossings
- station shifts
- station logs
Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323