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

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

Analyse my job

Jobs with similar scores

  1. 181HVAC technician27%
  2. 182Tender specialist27%
  3. 183Payroll clerk27%
  4. 185Grants officer27%
  5. 186Dairy technician27%
  6. 187Switchboard operator27%