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 / 633
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?
Tram driver
19%
#487 / 633
View rankingTram driver
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 |
|---|---|---|---|
Checks, log and the cab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, stops and the pedestrian who steps out.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Badly parked car, calls and Control.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Timetable, reliefs and rush hour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The tourist, the bike and not over-hooting.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Hit nobody, and make the terminus.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- drive trams
- urban stops
- pedestrians
- badly parked cars
- Control
- rush hour
- cab checks
- terminus
Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311