IS WORK OVER?

Automation index

How much of a Postal worker’s job can AI already do?

A round and a postcode come earlier. Five floors up and handing it over do not.

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

Task comparison

Postal worker

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
Sort, rounds and postcodes.
Estimate

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

16%32%+5.1
Deliver, climb and hand over.
Estimate

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

24%8%+1.9
Notices, recorded items and collections.
Estimate

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

16%18%+2.9
Neighbours, dogs and porters.
Estimate

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

16%22%+3.5
Moped, trolley and weather.
Estimate

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

14%16%+2.2
Not losing a parcel or recorded mail.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Sort, rounds and postcodes
  • Deliver, climb and hand over
  • Notices, recorded items and collections
  • Neighbours, dogs and porters
  • Moped, trolley and weather
  • Not losing a parcel or recorded mail
  • cartero
  • cartera
  • postal worker

Sources for this job· O*NET 43-5052.00· ESCO/ISCO 4412

Traffic 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
Counts, the model and the microsim.
Estimate

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

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

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

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

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

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

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

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

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

18%14%+2.5
That the junction does not kill, and not painting extra.
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

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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