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

IS WORK OVER?

27%

AI can already do 27% of this job.

#184 / 633

Tourist-office officer

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.

Task	Share	AI	Points
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
Total	100%		27%

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

IS WORK OVER?

29%

#75 / 633

Court processor

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.

Task	Share	AI	Points
Register, scanning and the case number. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Allocation, copies and service on the parties. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Letters, rogatory requests and what another court wants. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The counter, the queue and the paper that is not there. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Archive, boxes and the old file. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Not losing the filing, and balancing the register. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		29%

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