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

Window installer

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
Measure openings, subframe and the order.
Estimate

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

16%32%+5.1
Set, plumb and the missing packer.
Estimate

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

22%8%+1.8
Foam, seal and the sweating lintel.
Estimate

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

16%22%+3.5
Fittings, adjust and the sash that rubs.
Estimate

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

16%28%+4.5
The lived-in house and not leaving the room freezing.
Estimate

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

16%18%+2.9
That it closes, and not trapping the lintel.
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

  • measure openings
  • subframes
  • plumb windows
  • seal lintels
  • adjust sashes
  • foam
  • packers
  • window fittings

Sources for this job· O*NET 47-2121.00· ESCO/ISCO 7125

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