IS WORK OVER?

Automation index

How much of a Forest ranger’s job can AI already do?

A log and a GIS come earlier. Walking the forest and stopping a fire do not.

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

Task comparison

Forest ranger

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, GIS and penalty files.
Estimate

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

16%32%+5.1
Patrol, poaching and fires.
Estimate

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

22%10%+2.2
Neighbours, shepherds and councils.
Estimate

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

16%18%+2.9
Sampling, paths and signage.
Estimate

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

16%22%+3.5
Duties, weather and terrain.
Estimate

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

16%14%+2.2
Not arriving late to a column of smoke.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Logs, GIS and penalty files
  • Patrol, poaching and fires
  • Neighbours, shepherds and councils
  • Sampling, paths and signage
  • Duties, weather and terrain
  • Not arriving late to a column of smoke
  • agente forestal
  • agente medioambiental
  • forest ranger

Sources for this job· O*NET 33-3031.00· ESCO/ISCO 5419

Traffic engineer

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
Counts, the model and the microsim.
Estimate

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

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

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

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

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

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

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

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

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

18%14%+2.5
That the junction does not kill, and not painting extra.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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