Automation index

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

A pricked drawing comes earlier. Thread that tells without pulling the cloth 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.

#481 / 633

Embroiderer

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
Drawing, hoop and thread colour. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Stitch, raised work and the one that tangles. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Machine, program and the one that eats the cloth. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Finish, the back and not leaving knots. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The garment, the deadline and not changing the drawing halfway. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
That the thread tells, and not pulling the cloth. 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