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?

22%

#327 / 623

Hotel concierge

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. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Desk, bags and difficult guests. Estimate No public source provides a precise figure. This is our estimate.	20%	12%	+2.4
Restaurants, tickets and transport. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Logs, shifts and front-desk coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Neighbourhood, vendors and errands. Estimate No public source provides a precise figure. This is our estimate.	16%	16%	+2.6
Not leaving a guest stranded at two in the morning. Estimate No 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