Automation index

How much of a ENT doctor’s job can AI already do?

An audiogram and a first report come earlier. Operating an ear and not touching the facial nerve do not.

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

Task comparison

IS WORK OVER?

21%

AI can already do 21% of this job.

#441 / 643

ENT doctor

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
Read audiograms, CT and a first plan. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Clinic, nasal endoscopy and otoscopy. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Ear, sinus and tonsil surgery. Estimate No public source provides a precise figure. This is our estimate.	18%	10%	+1.8
Explain, consent and difficult vertigo. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Reports, prescriptions and speech-therapy coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
On-call, nosebleeds and liability for the act. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		21%

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

IS WORK OVER?

28%

#109 / 643

BIM modeller

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
Model, families and clash detection. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
IFC, BEP and trade coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Site, the one who will not open the model, and the meeting. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Quantities, parameters and the 4D nobody uses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The last-minute change and not breaking the federated model. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it can be built, and not over-modelling. 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