Automation index
How much of a Mechanical engineer’s job can AI already do?
A calculation and a model come earlier. Signing a shaft that will not break does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Mechanical engineer
25%
AI can already do 25% of this job.
#239 / 633
View rankingMechanical 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 |
|---|---|---|---|
Calculate, model and simulate parts and assemblies.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Drawings, tolerances and bills of materials.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Meetings with shop, client and purchasing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Tests, prototypes and commissioning.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Rules, quality and CE documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Sign, register and own the design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Meetings with shop, client and purchasing
- Tests, prototypes and commissioning
- Rules, quality and CE documentation
- Sign, register and own the design
- ingeniero mecanico
- mechanical engineer
Sources for this job· O*NET 17-2141.00· ESCO/ISCO 2144
IS WORK OVER?
Epidemiologist
31%
#34 / 633
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