Automation index

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

A colour formula comes earlier. A metallic that does not show does not.

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

Task comparison

IS WORK OVER?

18%

AI can already do 18% of this job.

#586 / 643

Vehicle painter

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
Formulas, codes and paint orders. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Mask, spray and bake. Estimate No public source provides a precise figure. This is our estimate.	22%	10%	+2.2
Sand, polish and match the gloss. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Booth, filters and waste. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Shop, deadlines and the panel beater. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Not leaving a patch you can see from ten metres. Estimate No public source provides a precise figure. This is our estimate.	14%	14%	+2
Total	100%		18%

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

IS WORK OVER?

25%

#235 / 643

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