Automation index

How much of a Adult-education teacher’s job can AI already do?

A pathway comes earlier. Coming back to class without shame 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.

#366 / 633

Adult-education teacher

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
Pathway, level and the material. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Class, the one from work and the one who hides. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Literacy, the form and the one who cannot sign. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Assess without humiliating, and the certificate. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Life, the children and not losing them in October. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they come back, and not being ashamed. 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%

#138 / 633

Category manager

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
Assortment, prices and the shelf. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Supplier, the negotiation and the one that will not list. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Promo, the calendar and the one that clashes. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Data, margin and not killing the category. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Own-label, the clash and not hiding it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That the category wins. 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