Automation index
How much of a Beekeeper’s job can AI already do?
A hive log comes earlier. Checking without angering them and taking honey do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Beekeeper
21%
AI can already do 21% of this job.
#416 / 643
View rankingBeekeeper
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 |
|---|---|---|---|
Check, queen and the hive log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Honey, supers and the smoker.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Varroa, treatments and not losing the stand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Moving hives, bloom and the move.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The neighbour, the sting and the field permit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Take honey, and not leaving them without stores.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- check hives
- supers
- varroa
- moving hives
- smoker
- queen
- bloom
- the stand
Sources for this job· O*NET 45-2092.00· ESCO/ISCO 6123
IS WORK OVER?
Oceanographer
22%
#366 / 643
View rankingOceanographer
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 |
|---|---|---|---|
Model, buoys and the cruise.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Sea, sampling and the one who misses the cast.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Data, the gap and not interpolating extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Report, the coast and the one who will not hear.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The storm, the ship and aborting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Read the water, and not trusting the model alone.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
- current models
- buoys
- ocean cruises
- sampling
- interpolation
- the coast
- the storm
- casts
Sources for this job· O*NET 19-2042.00· ESCO/ISCO 2114