IS WORK OVER?

Automation index

How much of a Ice-cream maker’s job can AI already do?

A base recipe comes earlier. Creamy in the mouth without turning to ice do not.

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

Task comparison

Ice-cream 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
Base, overrun and the recipe.
Estimate

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

16%44%+7
Churn, age and the one that crystals.
Estimate

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

18%12%+2.2
List, season and the flavour that misses.
Estimate

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

16%28%+4.5
Workshop, cold and the broken chain.
Estimate

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

16%22%+3.5
Summer, the queue and not running out of vanilla.
Estimate

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

18%18%+3.2
Creamy in the mouth, and not selling ice.
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

  • churn
  • overrun
  • age bases
  • ice-cream list
  • cold chain
  • ice crystals
  • vanilla
  • ice-cream season

Sources for this job· O*NET 51-3099.00· ESCO/ISCO 7512

Actuary

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
Run models, reserves and sensitivities.
Estimate

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

24%55%+13.2
Draft technical reports and memos.
Estimate

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

18%48%+8.6
Choose assumptions, tables and criteria.
Estimate

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

16%22%+3.5
Explain to the board and the supervisor.
Estimate

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

16%15%+2.4
Validate data quality and bias.
Estimate

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

14%12%+1.7
Signed opinion and professional liability.
Estimate

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

12%18%+2.2
Total100%32%

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

Skills and activities

  • Run models, reserves and sensitivities
  • Draft technical reports and memos
  • Choose assumptions, tables and criteria
  • Explain to the board and the supervisor
  • Validate data quality and bias
  • Signed opinion and professional liability
  • actuario
  • actuary

Sources for this job· O*NET 15-2011.00· ESCO/ISCO 2120

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