IS WORK OVER?

Automation index

How much of a Tourist-office officer’s job can AI already do?

A map and a leaflet come earlier. The visitor leaving happy, not lost, do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Tourist-office officer

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
Map, diary and the counter.
Estimate

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

18%48%+8.6
The one with no language, the one who argues and the one with no booking.
Estimate

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

16%40%+6.4
Events, capacity and the one that cancels.
Estimate

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

16%22%+3.5
Data, survey and not inflating visitors.
Estimate

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

16%28%+4.5
The council, the shops and not only selling the centre.
Estimate

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

18%14%+2.5
Happy, and not lost.
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

  • tourist counter
  • maps
  • events diary
  • capacity
  • surveys
  • bookings
  • visitors
  • the council

Sources for this job· O*NET 41-3041.00· ESCO/ISCO 4221

DJ

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
Prep crates, edits and setlists.
Estimate

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

18%42%+7.6
Promo, contracts and riders.
Estimate

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

16%30%+4.8
Play live and read the floor.
Estimate

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

24%8%+1.9
Room sound, desk and technical faults.
Estimate

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

14%12%+1.7
Venue, talent buyer and crowd.
Estimate

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

14%14%+2
Brand, touring and own catalogue.
Estimate

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

14%16%+2.2
Total100%20%

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

Skills and activities

  • Prep crates, edits and setlists
  • Promo, contracts and riders
  • Play live and read the floor
  • Room sound, desk and technical faults
  • Venue, talent buyer and crowd
  • Brand, touring and own catalogue
  • pinchadiscos
  • disc jockey

Sources for this job· O*NET 27-2042.00· ESCO/ISCO 2652

Analyse my job

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