IS WORK OVER?

Automation index

How much of a Air traffic controller’s job can AI already do?

Labels and alerts already help. Separating two aircraft in fog, and talking to both, is not something you hand off.

This percentage does not predict how many people will lose their jobs.

Task comparison

Air traffic controller

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
Plan sequences and read traffic forecasts.
Estimate

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

18%32%+5.8
Strips, tickets and inter-unit coordination.
Estimate

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

16%28%+4.5
Tactical control of aircraft on frequency.
Estimate

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

22%6%+1.3
Resolve conflicts, radio failures and weather.
Estimate

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

16%10%+1.6
Train and supervise a controller under instruction.
Estimate

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

14%12%+1.7
Reports, incidents and shift fatigue.
Estimate

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

14%15%+2.1
Total100%17%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • Plan sequences and read traffic forecasts
  • Tactical control of aircraft on frequency
  • Reports, incidents and shift fatigue
  • controlador aereo
  • air traffic
  • atc
  • torre de control

Sources for this job· O*NET 53-2021.00· ESCO/ISCO 3154

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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