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
IS WORK OVER?
Postal worker
18%
AI can already do 18% of this job.
#568 / 643
View rankingPostal 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.
| Task | Share | AI | Points |
|---|---|---|---|
Sort, rounds and postcodes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Deliver, climb and hand over.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Notices, recorded items and collections.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Neighbours, dogs and porters.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Moped, trolley and weather.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
Not losing a parcel or recorded mail.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 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
IS WORK OVER?
Cartographer
31%
#31 / 643
View rankingCartographer
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.
| Task | Share | AI | Points |
|---|---|---|---|
Sources, OSM, satellite and generalisation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Symbology, type and visual hierarchy.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Projections, scales and getting the heights right.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Review with the client, the field and the lie in the data.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Print maps, web maps and updates.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Credit, metadata and owning the map.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- make maps
- generalise cartography
- symbology
- choose projection
- visual hierarchy
- update OSM
- web maps
- maps that do not lie
Sources for this job· O*NET 17-1021.00· ESCO/ISCO 2165