IS WORK OVER?

Automation index

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

A log and a headcount come earlier. Jumping, pulling out and resuscitating do not.

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

Task comparison

Lifeguard

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, headcount and closing protocols.
Estimate

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

16%28%+4.5
Watch, jump and water rescue.
Estimate

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

24%6%+1.4
CPR, defibrillator and first aid.
Estimate

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

16%12%+1.9
Manage the beach or pool and talk to the public.
Estimate

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

16%18%+2.9
Kit maintenance and water chemistry.
Estimate

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

14%22%+3.1
Sun shift, fatigue and not looking away.
Estimate

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

14%14%+2
Total100%16%

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

Skills and activities

  • Logs, headcount and closing protocols
  • Watch, jump and water rescue
  • CPR, defibrillator and first aid
  • Kit maintenance and water chemistry
  • Sun shift, fatigue and not looking away
  • socorrista
  • lifeguard
  • salvamento

Sources for this job· O*NET 33-9092.00· ESCO/ISCO 5419

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
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

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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