IS WORK OVER?

Automation index

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

A carving protocol comes earlier. Thin slices without wasting the leg do not.

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

Task comparison

Ham carver

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
Pick the leg, marbling and the cure point.
Estimate

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

16%32%+5.1
Slice, the hand and the one who wants it thick.
Estimate

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

22%8%+1.8
Use it, shrink and the bone.
Estimate

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

16%28%+4.5
Event, the plate and the bar rhythm.
Estimate

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

16%22%+3.5
The client, the photo and not making a show of it.
Estimate

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

16%18%+2.9
Thin for real, and not wasting the cushion.
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

  • slice ham
  • marbling
  • the hand
  • use the leg
  • events
  • the bone
  • cure point
  • the cushion

Sources for this job· O*NET 51-3021.00· ESCO/ISCO 7511

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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