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?

27%

AI can already do 27% of this job.

#129 / 623

Air cargo agent

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. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Acceptance, screening and what cannot fly. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
ULD, build-up and the cut-off. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Customs, transits and the one that misses the flight. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The client, the urgent and not overbooking the hold. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Board on time, and not leaving it on the ramp. Estimate No 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

IS WORK OVER?

28%

#109 / 623

BIM modeller

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, families and clash detection. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
IFC, BEP and trade coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Site, the one who will not open the model, and the meeting. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Quantities, parameters and the 4D nobody uses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The last-minute change and not breaking the federated model. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it can be built, and not over-modelling. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low