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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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