Automation index
How much of a Bellhop’s job can AI already do?
A luggage tag comes earlier. Getting them up whole without losing the one at the back do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Bellhop
19%
AI can already do 19% of this job.
#482 / 633
View rankingBellhop
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 |
|---|---|---|---|
Tag, bags and the floor map.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Up, the lift and the one that will not fit.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Room, the VIP and not going in unannounced.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Tip, the shift and the one who hides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The group, the coach and not leaving one in the lobby.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Whole, and not losing the one at the back.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- bags
- floors
- the lift
- VIP
- tips
- lobby
- groups
- luggage tags
Sources for this job· O*NET 43-4081.00· ESCO/ISCO 9621
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