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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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