Automation index
How much of a Boiler technician’s job can AI already do?
A log and a fault code come earlier. Going into a plant room, and not leaving a building without heat, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Boiler technician
20%
AI can already do 20% of this job.
#478 / 643
View rankingBoiler technician
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 |
|---|---|---|---|
Logs, fault codes and spares.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 35% | +5.6 |
Routes, appointments and permits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Diagnose, open and repair the boiler.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 12% | +2.6 |
Tune-up, combustion and pressures.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
Clients, porters and plant-room access.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Gas, safety and not leaving the building cold.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Logs, fault codes and spares
- Routes, appointments and permits
- Diagnose, open and repair the boiler
- Tune-up, combustion and pressures
- Clients, porters and plant-room access
- calderas
- tecnico de calderas
- calefaccion central
Sources for this job· O*NET 49-9021.00· ESCO/ISCO 7126
IS WORK OVER?
Epidemiologist
31%
#34 / 643
View rankingEpidemiologist
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 |
|---|---|---|---|
Surveillance, rates and the outbreak on the map.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Studies, bias and the report for public health.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Surveys, contacts and the case interview.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Committee, the unpopular measure and the press.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Field, the care-home outbreak and dirty data.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Judgement, uncertainty and signing the alert.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- watch outbreaks
- compute rates
- epi studies
- case interviews
- map epidemics
- public-health measures
- contact tracing
- health alerts
Sources for this job· O*NET 19-1041.00· ESCO/ISCO 2263