Automation index
How much of a Production engineer’s job can AI already do?
An OEE and a sequencer come earlier. Getting the shift out without stopping the line for nothing do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Production engineer
25%
AI can already do 25% of this job.
#238 / 643
View rankingProduction 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 |
|---|---|---|---|
OEE, sequence and the shift plan.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Line, changeovers and the micro-stop.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Layout, times and the work standard.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Supervisors, unions and the shift that turns.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
In-line quality and the batch that cannot ship.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Hit the plan, and not dressing the OEE.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- OEE
- sequence production
- changeovers
- layout
- work standards
- micro-stops
- shift plan
- in-line quality
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141
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