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

Paver

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
Set-out, levels and layer thickness.
Estimate

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

16%32%+5.1
Lay, compact and the edge that opens.
Estimate

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

22%8%+1.8
Joints, seals and the gully junction.
Estimate

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

16%22%+3.5
Plant, mix temperature and the cold day.
Estimate

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

16%28%+4.5
Traffic, the closure and not leaving a step.
Estimate

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

16%18%+2.9
No ponding, and not skimping compaction.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • lay asphalt
  • compact
  • falls
  • pavement joints
  • gullies
  • mix temperature
  • pavement levels
  • seals

Sources for this job· O*NET 47-2071.00· ESCO/ISCO 7112

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