IS WORK OVER?

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

Airline 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.

TaskShareAIPoints
Prepare flight plan, fuel and NOTAMs.
Estimate

No public source provides a precise figure. This is our estimate.

18%40%+7.2
Weather and company briefing.
Estimate

No public source provides a precise figure. This is our estimate.

14%32%+4.5
Flying: take-off, cruise and landing.
Estimate

No public source provides a precise figure. This is our estimate.

22%8%+1.8
Failures, diversions and emergencies.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Coordination with ATC, cabin and ground.
Estimate

No public source provides a precise figure. This is our estimate.

16%10%+1.6
Reports, logbook and fatigue compliance.
Estimate

No public source provides a precise figure. This is our estimate.

14%15%+2.1
Total100%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

Prompt 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.

TaskShareAIPoints
Design prompts, tools and chains.
Estimate

No public source provides a precise figure. This is our estimate.

24%58%+13.9
Evals, datasets and regressions.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Integrate with product and safety limits.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Talk to the business about a good output.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Watch hallucinations, bias and cost.
Estimate

No public source provides a precise figure. This is our estimate.

14%20%+2.8
Decide what the model gets, and what it does not.
Estimate

No public source provides a precise figure. This is our estimate.

12%16%+1.9
Total100%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

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