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

IS WORK OVER?

22%

AI can already do 22% of this job.

#404 / 773

Ice-cream maker

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.

Task	Share	AI	Points
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
Total	100%		22%

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

IS WORK OVER?

27%

#192 / 773

QA automation engineer

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.

Task	Share	AI	Points
Test, the selector and the flake. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Pipeline, the green and the one that lies. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Bug, the repro and not closing it blind. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Data, the environment and not sharing prod. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The developer, the rush and not skipping the one that fails. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Catch the bug, and not painting a lying green. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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