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

Agile 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.

TaskShareAIPoints
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%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

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