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

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

Analyse my job

Jobs with similar scores

  1. 366Adult-education teacher22%
  2. 367PE teacher22%
  3. 368Vocational teacher22%
  4. 370Music teacher22%
  5. 371Sales promoter22%
  6. 372Dental technician22%