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
IS WORK OVER?
Air traffic controller
17%
AI can already do 17% of this job.
#598 / 643
View rankingAir 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.
| Task | Share | AI | Points |
|---|---|---|---|
Plan sequences and read traffic forecasts.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 32% | +5.8 |
Strips, tickets and inter-unit coordination.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Tactical control of aircraft on frequency.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 6% | +1.3 |
Resolve conflicts, radio failures and weather.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 10% | +1.6 |
Train and supervise a controller under instruction.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Reports, incidents and shift fatigue.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
| Total | 100% | 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
IS WORK OVER?
Home-automation installer
23%
#306 / 643
View rankingHome-automation installer
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 |
|---|---|---|---|
Diagram, buses and scene programming.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Wire, sensors and the switch that does not answer.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Integrate lights, climate and the client app.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Train, guest mode and the one who breaks it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The lived-in house and not leaving it dark.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That it obeys, and not needing the cloud for a switch.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- program scenes
- home buses
- integrate climate
- sensors
- home app
- switches
- guest mode
- wire KNX
Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411