Automation index

How much of a Workshop teacher’s job can AI already do?

A practical sheet comes earlier. Making the piece without cutting themselves do not.

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

Task comparison

IS WORK OVER?

19%

AI can already do 19% of this job.

#519 / 643

Workshop 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
Sheet, material and the station. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Shop, the machine and the one without glasses. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
The piece, the error and doing it again. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Assess, the portfolio and not giving the pass away. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The firm, the placement and the one who does not fit. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
The piece made, and no cuts. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		19%

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

IS WORK OVER?

27%

#138 / 643

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