Automation index
How much of a Airport ramp agent’s job can AI already do?
A load plan comes earlier. Pushing the aircraft, the bags and not getting the trim wrong do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Airport ramp agent
21%
AI can already do 21% of this job.
#413 / 643
View rankingAirport ramp 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 |
|---|---|---|---|
Load plan, LIR and hold allocation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Load, unload, pushback and ramp assistance.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Bags, ULDs and special cargo.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Coordinate with crew, ops and fuel.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Times, delays and ramp safety.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Trim, papers and liability for the load.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- load aircraft
- do pushback
- allocate holds
- move bags
- load planning
- ramp assistance
- handle ULDs
- ramp safety
Sources for this job· O*NET 53-6051.00· ESCO/ISCO 9333
IS WORK OVER?
Workshop teacher
19%
#519 / 643
View rankingWorkshop teacher
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 |
|---|---|---|---|
Sheet, material and the station.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Shop, the machine and the one without glasses.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
The piece, the error and doing it again.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Assess, the portfolio and not giving the pass away.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The firm, the placement and the one who does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
The piece made, and no cuts.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
- practical sheets
- shop machines
- glasses
- portfolio
- firm placements
- shop stations
- shop safety
- pieces
Sources for this job· O*NET 25-2032.00· ESCO/ISCO 2320