IS WORK OVER?

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

Golf professional

Where the time goes

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.

TaskShareAIPoints
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
Total100%22%

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

Skills and activities

  • swing
  • strike clip
  • putting
  • handicap
  • the green
  • events
  • clubs
  • the range

Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422

Tram driver

Where the time goes

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.

TaskShareAIPoints
Checks, log and the cab.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

No public source provides a precise figure. This is our estimate.

24%8%+1.9
Badly parked car, calls and Control.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

No public source provides a precise figure. This is our estimate.

14%18%+2.5
Hit nobody, and make the terminus.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%19%

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

Skills and activities

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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