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.
#404 / 633
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?
Prompt engineer
34%
#21 / 633
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512