IS WORK OVER?

Automation index

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

A must analysis comes earlier. Fermenting and pouring at the point do not.

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

Task comparison

Cider maker

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
Apple, mill and the must.
Estimate

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

16%40%+6.4
Press, ferment and the one that sours.
Estimate

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

18%14%+2.5
Rack, the gas and the pour point.
Estimate

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

16%28%+4.5
The cellar, this year’s cider and the bar.
Estimate

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

16%22%+3.5
The festival, the public and not tapping early.
Estimate

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

18%18%+3.2
At the point, and not selling the sour.
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

  • mill apples
  • the press
  • ferment cider
  • pour from height
  • rack
  • the cider bar
  • must
  • barrels

Sources for this job· O*NET 51-9012.00· ESCO/ISCO 8160

Dosimetrist

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
CT, contours and the plan.
Estimate

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

16%40%+6.4
Organ at risk, the curve and not overshooting.
Estimate

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

18%14%+2.5
Physics, the check and the one that does not fit.
Estimate

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

16%28%+4.5
Fraction, the setup and the patient who is not the same.
Estimate

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

16%22%+3.5
The oncologist, the trade-off and not signing blind.
Estimate

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

18%18%+3.2
The tumour gets it, and the healthy organ does not.
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

  • dose plans
  • contours
  • organs at risk
  • dosimetry check
  • fractions
  • setup
  • sim CT
  • DVH curves

Sources for this job· O*NET 29-2036.00· ESCO/ISCO 3211

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