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 / 623
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?
Barista
28%
#84 / 623
View rankingBarista
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 |
|---|---|---|---|
Prepare or serve hot or cold beverages, such as coffee, espresso drinks, blended coffees, or teas.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 28% | +2.5 |
Receive and process customer payments.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Take customer orders and convey them to other employees for preparation.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Describe menu items to customers, or suggest products that might appeal to them.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Serve prepared foods, such as muffins, biscotti, or bagels.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Prepare or serve menu items, such as sandwiches or salads.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Clean or sanitize work areas, utensils, or equipment.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Clean service or seating areas.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 42% | 28% | +11.8 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- comply with food safety and hygiene
- educate customers on tea varieties
- maintain relationship with customers
- greet guests
- handle customer complaints
- upsell products
- handover the service area
- set up the coffee area
- maintain customer service
- work in a hospitality team
Sources for this job· O*NET 35-3023.01· ESCO/ISCO 5132