Automation index

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

An audiogram and a curve tweak come earlier. Fitting an aid so the person actually hears does not.

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

Task comparison

IS WORK OVER?

23%

AI can already do 23% of this job.

#288 / 633

Audiologist

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
Audiograms, thresholds and a first fit. Estimate No public source provides a precise figure. This is our estimate.	18%	40%	+7.2
Trial, mould and adapt the aid. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Explain, habituation and follow-up. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Reports for ENT and notes. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Repair, clean and prototype stock. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Children, older people and not overselling. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		23%

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

IS WORK OVER?

28%

#109 / 633

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