Automation index
How much of a Occupational physician’s job can AI already do?
A screening protocol comes earlier. Calling fit or not and facing the company do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Occupational physician
29%
AI can already do 29% of this job.
#65 / 623
View rankingOccupational physician
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 |
|---|---|---|---|
Screenings, protocols and the work history.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Fit notes, restrictions and PPE.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The hard case, the one who cannot, and the company pushing.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Risk surveillance, sick leave and return.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Inspectorate, mutual and coordination with H&S.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Medical secrecy and signing fit for work.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 29% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- occupational screening
- fit for work
- health surveillance
- work restrictions
- return to work
- occupational medicine
- work history
- medical secrecy
Sources for this job· O*NET 29-1229.00· 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