IS WORK OVER?

Automation index

How much of a Traffic warden’s job can AI already do?

A camera and a stock ticket come earlier. Running a junction and taking the abuse do not.

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

Task comparison

Traffic warden

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
Tickets, photos and the plate record.
Estimate

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

16%40%+6.4
Junction, closure and the rush-hour jam.
Estimate

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

22%10%+2.2
Tow, parking and the one who stands in the way.
Estimate

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

16%22%+3.5
Events, races and the day’s operation.
Estimate

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

16%28%+4.5
Deal, explain and the insult in the street.
Estimate

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

16%18%+2.9
A fair ticket, and not making a scene.
Estimate

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

14%12%+1.7
Total100%21%

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

Skills and activities

  • issue tickets
  • run junctions
  • tow vehicles
  • control events
  • read plates
  • close roads
  • parking
  • deal with drivers

Sources for this job· O*NET 33-3041.00· ESCO/ISCO 3355

Agronomist

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
Maps, doses and fertiliser and irrigation plans.
Estimate

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

16%40%+6.4
Projects, subsidy files and paperwork.
Estimate

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

16%28%+4.5
Field, sampling and pests.
Estimate

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

18%14%+2.5
Farmer, co-op and administration.
Estimate

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

16%22%+3.5
Water, soils and sustainability.
Estimate

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

18%16%+2.9
Not prescribing a pesticide blind.
Estimate

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

16%14%+2.2
Total100%22%

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

Skills and activities

  • Projects, subsidy files and paperwork
  • Field, sampling and pests
  • Farmer, co-op and administration
  • Water, soils and sustainability
  • Not prescribing a pesticide blind
  • ingeniero agronomo
  • agronomist

Sources for this job· O*NET 17-2021.00· ESCO/ISCO 2144

Analyse my job

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