Automation index
How much of a Food engineer’s job can AI already do?
A plant balance and HACCP come earlier. Reformulating so it still tastes like food do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Food engineer
27%
AI can already do 27% of this job.
#158 / 623
View rankingFood engineer
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 |
|---|---|---|---|
Process, balances and shelf life.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Plant, pasteurise and the batch that will not set.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
HACCP, labelling and the rules.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Reformulate, costs and the ingredient supplier.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Taste, marketing and not lying on the pack.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it tastes like food, and not shipping the bad batch.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
- food process
- shelf life
- HACCP
- reformulate
- labelling
- pasteurise
- taste prototypes
- plant balances
Sources for this job· O*NET 17-2021.00· ESCO/ISCO 2145
IS WORK OVER?
Hydraulic engineer
27%
#164 / 623
View rankingHydraulic engineer
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 |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.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
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142