IS WORK OVER?

Automation index

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

A methane reading comes earlier. Producing without the gasholder going up do not.

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

Task comparison

Biogas technician

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
Feed, methane and the log.
Estimate

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

16%32%+5.1
Digester, the pH and the one that stops.
Estimate

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

22%8%+1.8
Gasholder, the seal and the leak.
Estimate

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

16%22%+3.5
Sludge, the fate and not mixing.
Estimate

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

16%28%+4.5
The smell, the neighbour and not hiding the leak.
Estimate

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

16%18%+2.9
Produce, and not going up.
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

  • methane
  • digesters
  • gasholder
  • sludge pH
  • gas leaks
  • plant feed
  • smell
  • seals

Sources for this job· O*NET 51-8099.00· ESCO/ISCO 3134

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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