Automation index
How much of a Gastroenterologist’s job can AI already do?
A colonoscopy report comes earlier. Putting the scope in and not perforating do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Gastroenterologist
22%
AI can already do 22% of this job.
#352 / 623
View rankingGastroenterologist
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 |
|---|---|---|---|
Read endoscopies, labs and the transit study.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Colonoscopy, gastroscopy and ERCP.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
IBD, hepatitis and reflux plans.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Abdomen clinic, occult blood and the fear of cancer.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
GI emergencies and the bleed that does not stop.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Consent, perforation and signing the procedure.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- do colonoscopies
- gastroscopy
- treat IBD
- ERCP
- GI clinic
- hepatitis plans
- GI bleed
- read endoscopies
Sources for this job· O*NET 29-1216.00· ESCO/ISCO 2212
IS WORK OVER?
Data engineer
31%
#36 / 623
View rankingData 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 pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511