Automation index

How much of a Wildland firefighter’s job can AI already do?

A fire-front map comes earlier. Going onto the slope with the wind against you do not.

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

Task comparison

IS WORK OVER?

18%

AI can already do 18% of this job.

#564 / 643

Wildland firefighter

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
Logs, map and the day’s attack plan. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Line, hose-lay and the spot fire. Estimate No public source provides a precise figure. This is our estimate.	24%	6%	+1.4
Tools, pump and the water that does not arrive. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Night watch, lookout and the flare-up. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Coordinate aircraft and the command post. Estimate No public source provides a precise figure. This is our estimate.	14%	28%	+3.9
Get out whole and leave nobody behind. Estimate No public source provides a precise figure. This is our estimate.	14%	10%	+1.4
Total	100%		18%

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

IS WORK OVER?

23%

#306 / 643

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