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?
Development cooperation officer
26%
#212 / 623
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635