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

Colourist

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
Look, stills and the reference.
Estimate

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

18%48%+8.6
Session, nodes and the hard shot.
Estimate

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

16%40%+6.4
Skin, sky and not eating the set.
Estimate

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

16%22%+3.5
Delivery, HDR and the one that misses in the theatre.
Estimate

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

16%28%+4.5
The director, the ego and not loading the orange.
Estimate

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

18%14%+2.5
Skin holds, and the look does not lie.
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

  • looks
  • nodes
  • skin
  • HDR
  • stills
  • the colour bay
  • hard shots
  • look references

Sources for this job· O*NET 27-4032.00· ESCO/ISCO 3521

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