Automation index
How much of a Air cargo agent’s job can AI already do?
An AWB comes earlier. Boarding on time without leaving the cargo on the ramp do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Air cargo agent
27%
AI can already do 27% of this job.
#129 / 623
View rankingAir cargo agent
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 |
|---|---|---|---|
AWB, weight and the flight.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Acceptance, screening and what cannot fly.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
ULD, build-up and the cut-off.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Customs, transits and the one that misses the flight.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the urgent and not overbooking the hold.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Board on time, and not leaving it on the ramp.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- AWB
- cargo screening
- ULD
- cut-off
- build-up
- air transits
- weight and volume
- the hold
Sources for this job· O*NET 43-5011.00· ESCO/ISCO 3331
IS WORK OVER?
Data engineer
31%
#36 / 623
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