Automation index

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

A swing clip comes earlier. Changing the strike so the handicap comes down do not.

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

Task comparison

IS WORK OVER?

22%

AI can already do 22% of this job.

#369 / 633

Golf professional

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
Swing, clip and the plan. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Course, the pupil and the one who does not listen. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Putting, the green and patience. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Handicap, the event and not inflating. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The shop, the club and not selling smoke. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Bring the handicap down, and not breaking the swing. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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