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.
#558 / 633
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?
Data engineer
31%
#36 / 633
View rankingData 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.
| Task | Share | AI | Points |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511