IS WORK OVER?

Automation index

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

A network test comes earlier. Potable water without bursting the main do not.

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

Task comparison

Water 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
Network, test and the chlorine.
Estimate

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

16%40%+6.4
Leak, locate and the shut-off.
Estimate

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

18%14%+2.5
Tank, the level and the one that runs dry.
Estimate

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

16%28%+4.5
Notice, the neighbourhood and not leaving them dry.
Estimate

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

16%22%+3.5
The inspection, the figure and not dressing chlorine.
Estimate

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

18%18%+3.2
Potable, and the main whole.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • water network
  • chlorine
  • leaks
  • tanks
  • tests
  • shut-offs
  • neighbourhoods
  • mains

Sources for this job· O*NET 51-8031.00· ESCO/ISCO 3132

Public health officer

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
Surveillance, the indicator and the alert.
Estimate

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

16%40%+6.4
Outbreak, the questionnaire and the one who will not answer.
Estimate

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

18%14%+2.5
Field, the source and shutting the premises.
Estimate

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

16%28%+4.5
Report, the mayor and not softening the figure.
Estimate

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

16%22%+3.5
Vaccination, coverage and the rumour.
Estimate

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

18%18%+3.2
Cut the outbreak, and not softening it.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • epi surveillance
  • outbreaks
  • field questionnaires
  • shut premises
  • vaccine coverage
  • public-health alerts
  • mayors
  • not soften figures

Sources for this job· O*NET 21-1091.00· ESCO/ISCO 2263

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