Automation index
How much of a Waste technician’s job can AI already do?
A waste code comes earlier. The waste going where it should, not the next bin, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Waste technician
22%
AI can already do 22% of this job.
#405 / 653
View rankingWaste 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 |
|---|---|---|---|
Code, characterise and the paper.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Plant, the mix and the one you cannot.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Move, the haulier and the note.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Inspection, the tip and not hiding.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The producer, the saving and not diluting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Where it should, not next door.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- waste codes
- characterise waste
- transfer notes
- the tip
- mixing
- producers
- waste papers
- not dilute
Sources for this job· O*NET 19-4042.00· ESCO/ISCO 2143
IS WORK OVER?
Clinical research associate
27%
#172 / 653
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