Automation index

How much of a Parking attendant’s job can AI already do?

A barrier comes earlier. Running the car park without wrecking the person who lost the ticket do not.

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

Task comparison

IS WORK OVER?

24%

AI can already do 24% of this job.

#260 / 633

Parking attendant

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
Barriers, tickets and the count. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The one who cannot find the car and the one who will not pay. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Incidents, the down barrier and the jam. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Shift, cash and cashing up. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
The event, the full house and not blocking the street. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Run the car park, and not wrecking the lost-ticket person. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		24%

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

IS WORK OVER?

23%

#301 / 633

Home-automation 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
Diagram, buses and scene programming. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Wire, sensors and the switch that does not answer. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Integrate lights, climate and the client app. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Train, guest mode and the one who breaks it. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The lived-in house and not leaving it dark. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That it obeys, and not needing the cloud for a switch. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		23%

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