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?
Agile coach
24%
#262 / 643
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421