IS WORK OVER?

Automation index

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

A sketch comes earlier. Forging, tempering and the piece not cracking do not.

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

Task comparison

Blacksmith

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
Sketch, template and the material calc.
Estimate

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

16%28%+4.5
Forge, temper and the blow that counts.
Estimate

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

22%8%+1.8
Weld, rivet and the site fit.
Estimate

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

16%22%+3.5
Grilles, gates and the client’s order.
Estimate

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

16%32%+5.1
Coal, the hearth and the shop rhythm.
Estimate

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

16%18%+2.9
That it does not crack, and signing the iron.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • forge
  • temper
  • grilles
  • rivet
  • iron templates
  • forge hearth
  • site fit
  • iron gates

Sources for this job· O*NET 51-4121.00· ESCO/ISCO 7221

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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