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

Hydraulic 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
Hydrology, flows and the floodplain model.
Estimate

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

18%48%+8.6
Field, section and what LiDAR misses.
Estimate

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

16%22%+3.5
Drainage works, pumps and the outfall.
Estimate

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

16%36%+5.8
Water permits and the river authority.
Estimate

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

16%28%+4.5
The flood, the village and the yes to the channel.
Estimate

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

18%14%+2.5
That it does not flood, and not trusting the model alone.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • model floodplains
  • flows
  • drainage
  • channel works
  • water permits
  • pumps
  • channel sections
  • river authority

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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