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.
#418 / 653
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?
Clinical research associate
27%
#172 / 653
View rankingClinical research associate
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 |
|---|---|---|---|
Protocol, CRF and the monitoring visit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Source, the gap and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Adverse event, the deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Consent, the signature and the one who did not understand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The sponsor, the audit and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Audit, and not leaving a made-up figure.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
- CRF
- monitoring
- adverse events
- informed consent
- source data
- trial audits
- clinical protocols
- site visits
Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131