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?
Agile coach
24%
#257 / 623
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421