Automation index
How much of a Cycle courier’s job can AI already do?
A job app comes earlier. Crossing the city and delivering it whole do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Cycle courier
20%
AI can already do 20% of this job.
#466 / 643
View rankingCycle courier
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 |
|---|---|---|---|
App, routes and the urgent job.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Pedal, traffic and not losing the parcel.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Lobby, the code and the one who will not come down.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Rain, puncture and the job that drops.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The platform, the fee and the one that does not pay time.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Deliver it whole, and not leaving it on the landing blind.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cycle courier
- urgent jobs
- lobbies
- punctures
- courier app
- city traffic
- platform fees
- not lose the parcel
Sources for this job· O*NET 43-5021.00· ESCO/ISCO 8321
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