Automation index
How much of a Food technologist’s job can AI already do?
An industrial recipe comes earlier. Coming out safe and tasting like food do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Food technologist
22%
AI can already do 22% of this job.
#397 / 633
View rankingFood technologist
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 |
|---|---|---|---|
Recipe, process and shelf life.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Plant, the batch and the one that will not set.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
HACCP, labelling and not lying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Taste, marketing and not disguising.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The supplier, the ingredient and not swapping blind.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Safe, and tasting like food.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
- industrial recipes
- shelf life
- HACCP
- labelling
- taste
- plant batches
- ingredients
- food process
Sources for this job· O*NET 19-1012.00· ESCO/ISCO 2145
IS WORK OVER?
Last-mile manager
26%
#211 / 633
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.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
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324