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 / 643
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?
Clinical research associate
27%
#172 / 643
View rankingClinical research associate
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 |
|---|---|---|---|
Protocol, CRF and the monitoring visit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Source, the gap and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Adverse event, the deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Consent, the signature and the one who did not understand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The sponsor, the audit and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Audit, and not leaving a made-up figure.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- CRF
- monitoring
- adverse events
- informed consent
- source data
- trial audits
- clinical protocols
- site visits
Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131