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.
#410 / 653
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?
Clinical research associate
27%
#172 / 653
View rankingClinical research associate
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 |
|---|---|---|---|
Protocol, CRF and the monitoring visit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Source, the gap and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Adverse event, the deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Consent, the signature and the one who did not understand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The sponsor, the audit and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Audit, and not leaving a made-up figure.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
- CRF
- monitoring
- adverse events
- informed consent
- source data
- trial audits
- clinical protocols
- site visits
Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131