Automation index
How much of a Health inspector’s job can AI already do?
A HACCP list comes earlier. Shutting the workshop and pulling the batch do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Health inspector
24%
AI can already do 24% of this job.
#268 / 633
View rankingHealth inspector
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 |
|---|---|---|---|
Inspection, HACCP and the premises history.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Kitchen, workshop or farm and what is behind.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Minutes, holds and pulling the batch.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Outbreaks, samples and the lab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The precautionary closure and the one who kicks off.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That nobody gets ill, and signing the minute.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- inspect workshops
- HACCP
- hold batches
- close premises
- take samples
- food outbreaks
- health minutes
- food hygiene
Sources for this job· O*NET 19-5012.00· ESCO/ISCO 2263
IS WORK OVER?
Data architect
28%
#83 / 633
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511