IS WORK OVER?

Automation index

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

A fire plan and a report write faster. Walking into a burning flat, cutting and carrying someone out do not.

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

Task comparison

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, intervention plans and classroom training.
Estimate

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

16%28%+4.5
Prevention inspections and hydrant checks.
Estimate

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

14%22%+3.1
Fighting urban or wildland fire.
Estimate

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

22%4%+0.9
Rescue at height, crash or collapse.
Estimate

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

18%6%+1.1
Emergency care at the scene.
Estimate

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

16%8%+1.3
Kit maintenance and station watch.
Estimate

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

14%10%+1.4
Total100%12%

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

Skills and activities

  • put out fires
  • rescue
  • enter a fire
  • Prevention inspections and hydrant checks
  • Fighting urban or wildland fire
  • Rescue at height, crash or collapse
  • Emergency care at the scene
  • Kit maintenance and station watch
  • bombero
  • firefighter

Sources for this job· O*NET 33-2011.00· ESCO/ISCO 5411

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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