Automation index
How much of a Commercial diver’s job can AI already do?
A dive plan comes earlier. Working below and coming up whole do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Commercial diver
18%
AI can already do 18% of this job.
#565 / 643
View rankingCommercial diver
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 |
|---|---|---|---|
Plan, tables and the day’s gas.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Bottom, tool and the one who snags.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 6% | +1.4 |
Comms, the tender and stopping in time.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Inspection, wet weld or cut.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Current, zero vis and not losing the buddy.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Come up whole, and not skipping decompression.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- dive plan
- decompression tables
- wet weld
- tender
- zero vis
- underwater cut
- dive gas
- the bottom
Sources for this job· O*NET 49-9092.00· ESCO/ISCO 7541
IS WORK OVER?
Statistician
26%
#206 / 643
View rankingStatistician
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, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120