IS WORK OVER?

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

Wildland firefighter

Where the time goes

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.

TaskShareAIPoints
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
Total100%18%

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

Skills and activities

  • fight wildfires
  • cut line
  • lay hose
  • night watch
  • portable pump
  • air assets
  • fire-front map
  • spot fires

Sources for this job· O*NET 33-2022.00· ESCO/ISCO 5411

Tow-truck driver

Where the time goes

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.

TaskShareAIPoints
Call, route and the vehicle type.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
Hard shoulder, hook and traffic that will not stop.
Estimate

No public source provides a precise figure. This is our estimate.

22%8%+1.8
Hydraulics, bed and the low car that scrapes.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Garage, the note and the client who argues.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Night, rain and not becoming the next crash.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Not making the crash worse, and signing the hook.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%20%

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

Skills and activities

  • hook vehicles
  • hard shoulder
  • the bed
  • recovery calls
  • crane hydraulics
  • recovery notes
  • traffic
  • low cars

Sources for this job· O*NET 53-3032.00· ESCO/ISCO 8332

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