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?
Epidemiologist
31%
#34 / 623
View rankingEpidemiologist
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 |
|---|---|---|---|
Surveillance, rates and the outbreak on the map.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Studies, bias and the report for public health.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Surveys, contacts and the case interview.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Committee, the unpopular measure and the press.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Field, the care-home outbreak and dirty data.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Judgement, uncertainty and signing the alert.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- watch outbreaks
- compute rates
- epi studies
- case interviews
- map epidemics
- public-health measures
- contact tracing
- health alerts
Sources for this job· O*NET 19-1041.00· ESCO/ISCO 2263