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.
#410 / 643
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?
Statistician
26%
#206 / 643
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120