Automation index
How much of a Database administrator’s job can AI already do?
An explain plan and a backup script write. Recovering a corrupt database on a Sunday does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Database administrator
28%
AI can already do 28% of this job.
#76 / 623
View rankingDatabase administrator
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 |
|---|---|---|---|
Tuning, indexes and execution plans.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 48% | +10.6 |
Backups, jobs and docs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 42% | +7.6 |
Incidents, locks and restores.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 20% | +3.2 |
Schema changes with development.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Permissions, audit and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Capacity, cost and engine choice.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Tuning, indexes and execution plans
- Backups, jobs and docs
- Incidents, locks and restores
- Schema changes with development
- Permissions, audit and PII
- Capacity, cost and engine choice
- dba
- administrador de base de datos
- oracle dba
Sources for this job· O*NET 15-1242.00· ESCO/ISCO 2521
IS WORK OVER?
Data architect
28%
#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