Automation index

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

A wheel comes earlier. Centring, pulling and surviving the kiln 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.

#475 / 633

Potter

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
Clay, wheel and centring. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Pull, turn and the one that collapses. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Dry, glaze and the kiln. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Order, the set and the colour that misses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The market, the piece and not opening too wide. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Survive the kiln, and not leaving a fat foot. 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?

25%

#230 / 633

Biomedical 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
Design, validate and document clinical devices and software. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Tests, MDR and risk. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Hospital, clinicians and maintenance. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Vendors, quality and traceability. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
User training and post-market watch. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Not putting a half-built prototype in theatre. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		25%

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