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

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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