IS WORK OVER?

Automation index

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

A inspection protocol comes earlier. Climbing, cleaning and not setting the soot on fire do not.

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

Task comparison

Chimney sweep

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
Inspection, camera and the flue report.
Estimate

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

16%32%+5.1
Climb, sweep and the nest that blocks.
Estimate

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

22%8%+1.8
Tightness, draught and the one that will not draw.
Estimate

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

16%22%+3.5
Certificate, rules and the residents.
Estimate

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

16%28%+4.5
The wet roof and not falling.
Estimate

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

16%18%+2.9
Clean for real, and not leaving loose soot.
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

  • sweep chimneys
  • flue camera
  • draught
  • flue certificate
  • nests
  • roofs
  • tightness
  • soot

Sources for this job· O*NET 47-4071.00· ESCO/ISCO 7133

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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