IS WORK OVER?

Automation index

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

A pile plan comes earlier. Driving to level without cracking the neighbour do not.

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

Task comparison

Piling operator

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
Set-out, level and each pile’s log.
Estimate

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

16%32%+5.1
Drive, bore and refusal.
Estimate

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

22%8%+1.8
Cage, pour and the tube that rides up.
Estimate

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

16%22%+3.5
Vibration, the neighbour and stopping in time.
Estimate

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

16%28%+4.5
Plant, access and the one that will not fit.
Estimate

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

16%18%+2.9
To level, and not cracking party walls.
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

  • drive piles
  • bore
  • cages
  • refusal level
  • site vibration
  • pour piles
  • piling set-out
  • recoverable tubes

Sources for this job· O*NET 47-2073.00· ESCO/ISCO 7114

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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