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.
#528 / 633
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?
Data engineer
31%
#36 / 633
View rankingData 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 pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511