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

Mobile developer

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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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