Automation index
How much of a Pathologist’s job can AI already do?
A first slice and a code come earlier. Putting the diagnosis the chemo depends on do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Pathologist
30%
AI can already do 30% of this job.
#44 / 623
View rankingPathologist
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 |
|---|---|---|---|
Grossing, embedding and the first trim.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Read stains, IHC and a template report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 52% | +8.3 |
The hard case, the second look and the frozen section.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Board, the surgeon on the phone and the margin.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Cytology, autopsy and the specimen that arrives late.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Signing the diagnosis and what the patient is playing for.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 30% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- read biopsies
- grossing
- immunohistochemistry
- frozen section
- pathology report
- cytology
- surgical margins
- autopsy
Sources for this job· O*NET 29-1222.00· ESCO/ISCO 2212
IS WORK OVER?
BI analyst
34%
#18 / 623
View rankingBI analyst
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 |
|---|---|---|---|
Model data, light ETL and dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Write SQL, measures and docs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 50% | +9 |
Define KPIs with the business and negotiate meaning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present insights and defend the number.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Data quality, alerts and lineage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Prioritise requests and say no.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model data, light ETL and dashboards
- Write SQL, measures and docs
- Present insights and defend the number
- Data quality, alerts and lineage
- Prioritise requests and say no
- business intelligence
- analista bi
- power bi
- looker
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511