Automation index
How much of a Art conservator’s job can AI already do?
A photo and an analysis come earlier. The scalpel, and not loading the work, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Art conservator
21%
AI can already do 21% of this job.
#431 / 623
View rankingArt conservator
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 |
|---|---|---|---|
Survey, photos, analysis and the treatment proposal.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Cleaning, fill, inpainting and protection.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Reversibility, and not overworking the piece.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, dossier and the owner’s or museum’s yes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Transport, climate and the piece’s setting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Ethics and liability for what is touched.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- conserve art
- clean paint
- inpainting
- fills
- treatment report
- reversibility
- analyse the work
- not overworking the piece
Sources for this job· O*NET 25-4013.00· ESCO/ISCO 2621
IS WORK OVER?
Data engineer
31%
#36 / 623
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