Automation index
How much of a Data architect’s job can AI already do?
A lake diagram comes earlier. Data that can be used, and does not rot, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Data architect
28%
AI can already do 28% of this job.
#83 / 663
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
IS WORK OVER?
Dietetic technician
22%
#402 / 663
View rankingDietetic technician
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 |
|---|---|---|---|
Menu, textures and the allergen.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Ward, the one who will not eat and the weight.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Kitchen, the change and the one who gets the puree wrong.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Educate, discharge and what is at home.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The dietitian, the plan and not jumping to a yes.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they eat, and not starving them.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- textures
- allergens
- puree
- hospital menus
- food education
- ward weights
- dysphagia
- malnutrition
Sources for this job· O*NET 29-2051.00· ESCO/ISCO 3213