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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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%