Automation index
How much of a Greengrocer’s job can AI already do?
A wholesale order comes earlier. Setting the stall without selling the gone piece do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Greengrocer
22%
AI can already do 22% of this job.
#335 / 623
View rankingGreengrocer
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 |
|---|---|---|---|
Wholesale, season and what is at its point.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Stall, replenish and the piece that softens.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Customer, advice and the one who cannot ripen it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Shrink, cold and closing the day.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The market, the rain and not leaving the stall alone.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
At its point, and not selling what is gone.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
- set the stall
- fruit season
- replenish fruit
- shrink
- ripen
- the market
- wholesale
- advise the customer
Sources for this job· O*NET 41-2031.00· ESCO/ISCO 5223
IS WORK OVER?
Mobile developer
28%
#92 / 623
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514