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

Statistician

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
Model, clean and visualise.
Estimate

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

20%48%+9.6
Design sample, experiment and biases.
Estimate

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

16%32%+5.1
Client, questions and not overfitting.
Estimate

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

16%22%+3.5
Reproducibility, code and documentation.
Estimate

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

16%18%+2.9
Publication, review and data ethics.
Estimate

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

16%16%+2.6
Not selling a p-value that does not hold.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • Model, clean and visualise
  • Design sample, experiment and biases
  • Client, questions and not overfitting
  • Reproducibility, code and documentation
  • Publication, review and data ethics
  • Not selling a p-value that does not hold
  • estadistico
  • statistician

Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120

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