Automation index

How much of a Printing press operator’s job can AI already do?

A preflight and a colour profile come earlier. Calibrating the press and not wasting the run do not.

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

Task comparison

IS WORK OVER?

27%

AI can already do 27% of this job.

#157 / 623

Printing press operator

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
Preflight, imposition and colour profiles. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Calibrate, ink and start the press. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Watch register, density and defects on the run. Estimate No public source provides a precise figure. This is our estimate.	18%	22%	+4
Job change, plates and wash-up. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Finishing, guillotine and delivery. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Stock, times and liability for the run. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		27%

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

IS WORK OVER?

25%

#230 / 623

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