IS WORK OVER?

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

PCB technician

Where the time goes

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.

TaskShareAIPoints
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
Total100%22%

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

Skills and activities

  • gerber
  • stack-up
  • AOI
  • drill
  • tracks
  • solder oven
  • bridges
  • PCB batches

Sources for this job· O*NET 51-2022.00· ESCO/ISCO 3113

Data architect

Where the time goes

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.

TaskShareAIPoints
Models, lineage and the catalogue.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%28%

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

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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