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?

19%

#502 / 633

Window installer

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
Measure openings, subframe and the order. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Set, plumb and the missing packer. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Foam, seal and the sweating lintel. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Fittings, adjust and the sash that rubs. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The lived-in house and not leaving the room freezing. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
That it closes, and not trapping the lintel. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		19%

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