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

Pizza maker

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
Dough, ferment and the day’s point.
Estimate

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

16%36%+5.8
Open, top and the oven at a thousand.
Estimate

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

22%8%+1.8
Serve, delivery and the one that arrives cold.
Estimate

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

16%22%+3.5
List, costs and the topping that runs out.
Estimate

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

16%28%+4.5
Saturday, the queue and not working too far ahead.
Estimate

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

16%18%+2.9
Pull it in time, and not leaving it carbonised.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • open dough
  • bake pizza
  • ferment
  • top pizzas
  • the oven
  • pizza delivery
  • dough point
  • Saturday queue

Sources for this job· O*NET 35-2011.00· ESCO/ISCO 5120

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