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?
Prompt engineer
34%
#21 / 633
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512