IS WORK OVER?

Automation index

How much of a Electoral officer’s job can AI already do?

A roll comes earlier. The right person voting without losing a ballot box do not.

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

Task comparison

Electoral 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
Roll, additions and the one who is not there.
Estimate

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

16%40%+6.4
Station, the chair and the kit.
Estimate

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

18%14%+2.5
Polling day, the incident and the one who protests.
Estimate

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

16%28%+4.5
Count, the minute and not jumping a result.
Estimate

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

16%22%+3.5
The board, the complaint and not losing the box.
Estimate

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

18%18%+3.2
That the right one votes, and not losing the box.
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

  • electoral roll
  • stations
  • ballot boxes
  • the count
  • minutes
  • incidents
  • polling day
  • roll additions

Sources for this job· O*NET 13-1199.00· ESCO/ISCO 3359

Acoustics engineer

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
Reading, the map and the standard.
Estimate

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

18%48%+8.6
Works, the insulation and what was not put in.
Estimate

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

16%40%+6.4
Simulation, the model and not trusting it alone.
Estimate

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

16%22%+3.5
Report, the neighbour and not softening the dB.
Estimate

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

16%28%+4.5
The council, the licence and not dressing it.
Estimate

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

18%14%+2.5
Bring it down for real, and not selling the miracle panel.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • noise maps
  • insulation
  • dB
  • acoustic simulations
  • standards
  • licences
  • neighbours
  • field readings

Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2149

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