Automation index

How much of a Flight dispatcher’s job can AI already do?

A flight plan comes earlier. Signing the fuel without leaving the aircraft short do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

28%

AI can already do 28% of this job.

#94 / 623

Flight dispatcher

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, NOTAM, METAR and the fuel. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Slot, alternates and weight. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The crew, the change and the late aircraft. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
MEL, restrictions and the go or no-go. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The storm, the diversion and recalculating in time. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Not leaving it short, and signing the release. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

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

IS WORK OVER?

25%

#230 / 623

Biomedical engineer

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
Design, validate and document clinical devices and software. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Tests, MDR and risk. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Hospital, clinicians and maintenance. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Vendors, quality and traceability. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
User training and post-market watch. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Not putting a half-built prototype in theatre. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		25%

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