Automation index
How much of a Museum curator’s job can AI already do?
An inventory and a wall text come earlier. What goes on show, and not damaging the piece, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Museum curator
23%
AI can already do 23% of this job.
#291 / 623
View rankingMuseum curator
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 |
|---|---|---|---|
Inventory, catalogue and write wall texts.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 40% | +7.2 |
Curate, select and negotiate loans.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Install, lighting and preventive conservation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Research, publications and dossiers.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Public, tours and the board.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Not losing a piece or a wrong attribution.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Inventory, catalogue and write wall texts
- Curate, select and negotiate loans
- Research, publications and dossiers
- Public, tours and the board
- Not losing a piece or a wrong attribution
- conservador de museo
- curator
- comisario de exposicion
Sources for this job· O*NET 25-4012.00· 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