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?
Geneticist
27%
AI can already do 27% of this job.
#154 / 623
View rankingGeneticist
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.
| Task | Share | AI | Points |
|---|---|---|---|
Panel, variants and the report.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Clinic, the pedigree and the family.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
VUS, the doubt and not scaring extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Lab, the sample and the one that is not enough.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The clinician, the treatment and not jumping to a yes.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Read it, and talking to the family.EstimateNo 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
Skills and activities
- genetic panels
- variants
- pedigree
- VUS
- genetic reports
- samples
- genetics clinic
- not scare
Sources for this job· O*NET 19-1029.00· ESCO/ISCO 2131
IS WORK OVER?
Prompt engineer
34%
#21 / 623
View rankingPrompt engineer
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.
| Task | Share | AI | Points |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512