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.

#371 / 703

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%

#158 / 703

Instructional designer

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
Aim, the storyboard and the module. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Pilot, the learner and what is not understood. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Activity, the feedback and not putting a silly test. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
LMS, the figure and not inflating completion. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The client, the deadline and not cutting the practice. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they learn, and not leaving the empty video. 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