Automation index
How much of a Travel agent’s job can AI already do?
Finding a flight and a hotel come earlier. Building a trip that holds, and answering when it does not, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Travel agent
29%
AI can already do 29% of this job.
#55 / 623
View rankingTravel agent
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 |
|---|---|---|---|
Search flights, hotels, trains and packages.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Quote, compare and issue bookings.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Serve the client: taste, visas and fears.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Changes, cancellations and incidents on the ground.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Groups, corporates and tailor-made trips.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Suppliers, margins and liability for the booking.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 29% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- book flights
- organise trips
- issue bookings
- build packages
- handle cancellations
- advise on destinations
- process visas
- handle travel incidents
Sources for this job· O*NET 41-3041.00· ESCO/ISCO 4221
IS WORK OVER?
Data architect
28%
#83 / 623
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511