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?

17%

AI can already do 17% of this job.

#648 / 693

Air traffic controller

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. 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
Total	100%		17%

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

IS WORK OVER?

27%

#207 / 693

University tutor

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
Form, the file and the one who does not come. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Mark, the cut and the one who gives up. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Grant, the paper and not letting it lapse. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Health, the referral and not playing clinician. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The dean, the dropout figure and not dressing it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they ask for help, and not dropping out. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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