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.
#401 / 643
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?
Statistician
26%
#206 / 643
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120