Automation index

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

A gerber comes earlier. The board coming out without an open track 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.

#384 / 633

PCB technician

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
Gerber, stack-up and the batch. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Etch, drill and the one that drifts. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
AOI, the bridge and stopping. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Assemble, the oven and the one that warps. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The client, the deadline and not skipping AOI. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
The board comes out, and the track whole. 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?

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