Automation index
How much of a Ceramicist’s job can AI already do?
A firing curve comes earlier. Glazing without losing the batch in the firing do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Ceramicist
19%
AI can already do 19% of this job.
#484 / 633
View rankingCeramicist
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 |
|---|---|---|---|
Body, mould and the curve.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Glaze, apply and the one that runs.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Kiln, atmosphere and the batch that sticks.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Run, the order and the one that does not match.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The gallery, the deadline and not opening the kiln early.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not losing the batch, and signing the curve.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- firing curves
- bodies
- ceramic moulds
- glazes
- atmosphere
- runs
- runs of glaze
- the firing
Sources for this job· O*NET 51-9195.00· ESCO/ISCO 7314
IS WORK OVER?
Data engineer
31%
#36 / 633
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