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.
#325 / 733
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?
Reliability engineer
27%
#175 / 733
View rankingReliability 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 |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141