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?
Development cooperation officer
26%
#212 / 623
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.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
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635