Automation index
How much of a Restaurant maître’s job can AI already do?
A floor plan and a booking come earlier. A Saturday room that actually breathes does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Restaurant maître
19%
AI can already do 19% of this job.
#515 / 643
View rankingRestaurant maître
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 |
|---|---|---|---|
Bookings, floor plan and briefing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Greet, seat and read the room.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 12% | +2.4 |
Floor team, passes and complaints.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Menu, wine and suggestions.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Close, till and reviews.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not sinking a service or a waiter.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Bookings, floor plan and briefing
- Greet, seat and read the room
- Floor team, passes and complaints
- Menu, wine and suggestions
- Close, till and reviews
- Not sinking a service or a waiter
- jefe de sala
- maitre
Sources for this job· O*NET 35-1012.00· ESCO/ISCO 1412
IS WORK OVER?
Prompt engineer
34%
#21 / 643
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