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 / 623

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?

23%

#304 / 623

Family doctor

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
Read history, labs and primary-care protocols. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Clinic, examination and home visits. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Explain, refer and hold uncertainty. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Prescriptions, notes and sick-leave reports. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
List, nursing team and the health centre. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Primary-care emergencies and not missing a heart attack. Estimate No public source provides a precise figure. This is our estimate.	14%	14%	+2
Total	100%		23%

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