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?
BI analyst
34%
#18 / 623
View rankingBI analyst
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 |
|---|---|---|---|
Model data, light ETL and dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Write SQL, measures and docs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 50% | +9 |
Define KPIs with the business and negotiate meaning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present insights and defend the number.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Data quality, alerts and lineage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Prioritise requests and say no.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model data, light ETL and dashboards
- Write SQL, measures and docs
- Present insights and defend the number
- Data quality, alerts and lineage
- Prioritise requests and say no
- business intelligence
- analista bi
- power bi
- looker
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511