IS WORK OVER?

Automation index

How much of a Ski instructor’s job can AI already do?

A turn method comes earlier. Getting down the run without taking anyone with them do not.

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

Task comparison

Ski instructor

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
Level, kit and the group.
Estimate

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

16%32%+5.1
Run, the turn and the one who cuts across.
Estimate

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

22%8%+1.8
Fall, the one who cries and getting them up.
Estimate

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

16%22%+3.5
Snow, the storm and closing in time.
Estimate

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

16%28%+4.5
The queue, the pass and not losing a child.
Estimate

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

16%18%+2.9
Down whole, and taking nobody with them.
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

  • turns
  • runs
  • falls
  • snow groups
  • the pass
  • the storm
  • get them up
  • ski levels

Sources for this job· O*NET 39-9032.00· ESCO/ISCO 3422

Cleaner

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
Logs, checklists and product orders.
Estimate

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

14%32%+4.5
Scrubber-driers and dosing.
Estimate

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

12%22%+2.6
Mop, vacuum, disinfect and restock.
Estimate

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

26%10%+2.6
Waste, linen and sensitive areas.
Estimate

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

16%12%+1.9
Shifts, keys and dealing with users.
Estimate

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

16%14%+2.2
Surprises: vomit, works, a complaint.
Estimate

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

16%16%+2.6
Total100%16%

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

Skills and activities

  • Logs, checklists and product orders
  • Scrubber-driers and dosing
  • Mop, vacuum, disinfect and restock
  • Waste, linen and sensitive areas
  • Shifts, keys and dealing with users
  • Surprises: vomit, works, a complaint
  • limpiador
  • limpiadora
  • personal de limpieza
  • cleaner

Sources for this job· O*NET 37-2011.00· ESCO/ISCO 9112

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