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?

29%

AI can already do 29% of this job.

#55 / 623

Travel agent

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. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Quote, compare and issue bookings. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Serve the client: taste, visas and fears. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Changes, cancellations and incidents on the ground. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Groups, corporates and tailor-made trips. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Suppliers, margins and liability for the booking. Estimate No 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

IS WORK OVER?

21%

#430 / 623

Shelf replenisher

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
Wave, location and the cage. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Shelf, date and the one at the back. Estimate No public source provides a precise figure. This is our estimate.	22%	10%	+2.2
Aisle, the customer and not blocking. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Out of stock, calling it and the gap. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The peak, overtime and not mixing batches. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Shelf full, and aisle clear. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		21%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low