Automation index
How much of a Cardiac surgeon’s job can AI already do?
A bypass sketch comes earlier. Opening the chest and coming off pump do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Cardiac surgeon
18%
AI can already do 18% of this job.
#570 / 643
View rankingCardiac surgeon
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 |
|---|---|---|---|
Indication, consent and the plan with cardiology.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Bypass, valve and pump time.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 6% | +1.4 |
Cannulate, protect the muscle and come off bypass.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cardiac ICU, bleeding and tamponade.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Follow-up, the wound and the family at the door.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 28% | +3.9 |
On-call, the infarct that does not wait, and the sign-off.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- coronary bypass
- valve surgery
- cardiopulmonary bypass
- open the chest
- cardiac ICU
- tamponade
- cannulate
- myocardial protection
Sources for this job· O*NET 29-1241.00· ESCO/ISCO 2212
IS WORK OVER?
Data architect
28%
#83 / 643
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511