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

Community health worker

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
Health map, workshops and the calendar.
Estimate

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

16%40%+6.4
Street, doorway and the neighbour who does not come.
Estimate

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

18%14%+2.5
Vaccines, screening and referring to the clinic.
Estimate

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

16%32%+5.1
Data, report and the health table.
Estimate

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

16%28%+4.5
The rumour, the distrust and not moralising.
Estimate

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

18%18%+3.2
That they come, and not inflating workshop numbers.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • health workshops
  • health map
  • door-to-door
  • refer to clinic
  • screening
  • health table
  • community vaccination
  • health distrust

Sources for this job· O*NET 21-1094.00· ESCO/ISCO 3253

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