Automation index
How much of a Sales promoter’s job can AI already do?
A promo briefing comes earlier. Stopping the customer without lying about the product do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Sales promoter
22%
AI can already do 22% of this job.
#371 / 633
View rankingSales promoter
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 |
|---|---|---|---|
Briefing, stand and the kit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Shelf, the one who walks by and the one who stops.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Tasting, allergies and not pushing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Data, contacts and not inflating.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The supervisor, the space and not covering the shelf.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Stop the customer, and not lying.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
- stands
- tasting
- promo briefing
- contacts
- allergies
- the shelf
- promo kit
- store supervisor
Sources for this job· O*NET 41-9011.00· ESCO/ISCO 5242
IS WORK OVER?
Statistician
26%
#201 / 633
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