Automation index
How much of a Cheesemaker’s job can AI already do?
A recipe and a pH come earlier. Setting, turning and signing the ageing do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Cheesemaker
22%
AI can already do 22% of this job.
#424 / 703
View rankingCheesemaker
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 |
|---|---|---|---|
Milk, pH and the day’s recipe.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Set, cut and the drain.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Turn, salt and the ageing room.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Taste, the batch and the one that splits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The co-op, the season and not selling too early.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Sign the ageing, and not forcing the pH.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
- set curd
- drain whey
- turn cheeses
- ageing room
- milk pH
- salt
- taste batches
- cheese recipe
Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7513
IS WORK OVER?
Instructional designer
27%
#158 / 703
View rankingInstructional designer
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 |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.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
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351