Automation index

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

A dive briefing comes earlier. Coming up whole without forgetting to breathe do not.

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

Task comparison

IS WORK OVER?

19%

AI can already do 19% of this job.

#513 / 643

Diving instructor

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
Briefing, tables and the plan. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Water, the student and the one who panics. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Drills, the regulator and the one who is out of air. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Log, certification and not giving the star away. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The current, the vis and aborting. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Come up whole, and not skipping the stop. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		19%

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