Automation index
How much of a Airline pilot’s job can AI already do?
Flight plan and weather already process themselves. Deciding in a failure, talking to the cabin, and landing do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Airline pilot
19%
AI can already do 19% of this job.
#545 / 653
View rankingAirline pilot
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 |
|---|---|---|---|
Prepare flight plan, fuel and NOTAMs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 40% | +7.2 |
Weather and company briefing.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 32% | +4.5 |
Flying: take-off, cruise and landing.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Failures, diversions and emergencies.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Coordination with ATC, cabin and ground.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 10% | +1.6 |
Reports, logbook and fatigue compliance.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Prepare flight plan, fuel and NOTAMs
- Weather and company briefing
- Flying: take-off, cruise and landing
- Failures, diversions and emergencies
- Coordination with ATC, cabin and ground
- Reports, logbook and fatigue compliance
- piloto
- pilot
- aviacion
- comandante de aeronave
Sources for this job· O*NET 53-2011.00· ESCO/ISCO 3153
IS WORK OVER?
Pharmacovigilance officer
27%
#187 / 653
View rankingPharmacovigilance officer
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 |
|---|---|---|---|
Case, the file and MedDRA.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Seriousness, the link and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
File, the AEMPS deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Signal, the aggregate and not playing it down.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The doctor, the ADR and not arguing the story.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
If it is serious, call it. And not staying quiet.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
- ADR
- MedDRA
- AEMPS
- safety signals
- seriousness
- causality
- case files
- regulatory deadlines
Sources for this job· O*NET 29-1051.00· ESCO/ISCO 2262