IS WORK OVER?

Automation index

How much of a Small-hydro technician’s job can AI already do?

A turbinable flow comes earlier. Spinning without running dry do not.

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

Task comparison

Small-hydro 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
Flow, set-point and the log.
Estimate

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

16%32%+5.1
Turbine, the bearing and the one that sounds.
Estimate

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

22%8%+1.8
Gate, the jam and the log.
Estimate

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

16%22%+3.5
Low flow, the river and not forcing it.
Estimate

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

16%28%+4.5
The flood, the spill and not leaving it open.
Estimate

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

16%18%+2.9
That it spins, and not dry.
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

  • turbinable flow
  • bearings
  • gates
  • low flow
  • spills
  • small hydro
  • turbine logs
  • jams

Sources for this job· O*NET 51-8013.00· ESCO/ISCO 3131

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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