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

Histology 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
Intake, the pot and not mixing cases.
Estimate

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

16%32%+5.1
Process, embed and the block.
Estimate

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

22%8%+1.8
Cut, the knife and the one that falls apart.
Estimate

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

16%22%+3.5
Stain, the control and the one that will not take.
Estimate

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

16%28%+4.5
The pathologist, the rush and not sending a bad cut.
Estimate

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

16%18%+2.9
Not losing the diagnosis on the knife.
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

  • paraffin blocks
  • histology cutting
  • stains
  • tissue processor
  • not mix cases
  • microtome knife
  • stain controls
  • embedding

Sources for this job· O*NET 29-2012.00· ESCO/ISCO 3212

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