IS WORK OVER?

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

Travel 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.

TaskShareAIPoints
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
Total100%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

University careers adviser

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.

TaskShareAIPoints
Workshop, the CV and the letter.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Appointment, the one who does not know and the one who wants everything.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Placement, the firm and not selling smoke.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Fair, the contact and the one who will not approach.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The dean, insertion and not dressing the rate.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
A plan, and not panic.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%27%

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

Skills and activities

  • university CVs
  • cover letters
  • placements
  • jobs fairs
  • graduate insertion
  • careers appointments
  • not sell smoke
  • workshops

Sources for this job· O*NET 21-1012.00· ESCO/ISCO 2423

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