Automation index

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

A panel comes earlier. Reading the variant and talking to the family 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.

#154 / 623

Geneticist

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
Panel, variants and the report. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Clinic, the pedigree and the family. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
VUS, the doubt and not scaring extra. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Lab, the sample and the one that is not enough. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The clinician, the treatment and not jumping to a yes. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Read it, and talking to the family. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
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