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.

#503 / 633

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?

25%

#230 / 633

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