IS WORK OVER?

Automation index

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

A cause report comes earlier. Calling a short or a rag without selling it to the insurer do not.

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

Task comparison

Fire investigator

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
Scene, the origin and not treading it.
Estimate

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

16%40%+6.4
Cause, the short and the rag.
Estimate

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

18%14%+2.5
Sample, the lab and the one that does not fit.
Estimate

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

16%28%+4.5
Report, the insurer and not selling it.
Estimate

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

16%22%+3.5
The judge, the hearing and not jumping to a yes.
Estimate

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

18%18%+3.2
Call the cause, and not selling it to the insurer.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • fire origin
  • shorts
  • rags
  • samples
  • expert reports
  • insurers
  • the scene
  • not tread

Sources for this job· O*NET 33-2021.00· ESCO/ISCO 3119

Geomatics 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
Station, the base and the cloud.
Estimate

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

16%40%+6.4
Field, the axis and the one that moved.
Estimate

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

18%14%+2.5
Model, the drift and not hiding metres.
Estimate

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

16%28%+4.5
Works, the setting-out and going down to see it.
Estimate

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

16%22%+3.5
The contractor, the rush and not signing the drift.
Estimate

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

18%18%+3.2
That the axis is there, and not signing metres.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • point clouds
  • total stations
  • axes
  • setting-out
  • drift
  • bases
  • geomatics
  • the field

Sources for this job· O*NET 17-1022.00· ESCO/ISCO 2165

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