Automation index
How much of a Hotel concierge’s job can AI already do?
A booking and a map come earlier. A table at ten, and calming someone, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Hotel concierge
22%
AI can already do 22% of this job.
#327 / 623
View rankingHotel concierge
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, maps and recommendations.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Desk, bags and difficult guests.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 12% | +2.4 |
Restaurants, tickets and transport.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Logs, shifts and front-desk coordination.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Neighbourhood, vendors and errands.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not leaving a guest stranded at two in the morning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Bookings, maps and recommendations
- Desk, bags and difficult guests
- Restaurants, tickets and transport
- Logs, shifts and front-desk coordination
- Neighbourhood, vendors and errands
- conserje
- concierge
- portero de hotel
Sources for this job· O*NET 43-4081.00· ESCO/ISCO 4224
IS WORK OVER?
Data engineer
31%
#36 / 623
View rankingData 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 pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511