Automation index
How much of a Museum educator’s job can AI already do?
A teaching sheet comes earlier. Thirty schoolchildren in front of the work, actually looking, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Museum educator
24%
AI can already do 24% of this job.
#269 / 643
View rankingMuseum educator
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 |
|---|---|---|---|
Sheets, routes and the teaching kit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
The tour, the group that will not quiet, and the work.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Workshops, families and Sunday at the museum.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
School, bookings and the missing mediator.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Access, the public who do not come in, and adapting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they actually look, and not reciting the label.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- school tours
- teaching sheets
- museum workshops
- cultural mediation
- group bookings
- access
- families at the museum
- learning routes
Sources for this job· O*NET 25-4012.00· ESCO/ISCO 2621
IS WORK OVER?
Clinical research associate
27%
#172 / 643
View rankingClinical research associate
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 |
|---|---|---|---|
Protocol, CRF and the monitoring visit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Source, the gap and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Adverse event, the deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Consent, the signature and the one who did not understand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The sponsor, the audit and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Audit, and not leaving a made-up figure.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
- CRF
- monitoring
- adverse events
- informed consent
- source data
- trial audits
- clinical protocols
- site visits
Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131