Automation index
How much of a Oceanographer’s job can AI already do?
A current model comes earlier. Going to sea and actually reading the water do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Oceanographer
22%
AI can already do 22% of this job.
#357 / 633
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
IS WORK OVER?
Actuary
32%
#25 / 633
View rankingActuary
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 |
|---|---|---|---|
Run models, reserves and sensitivities.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 55% | +13.2 |
Draft technical reports and memos.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Choose assumptions, tables and criteria.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Explain to the board and the supervisor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Validate data quality and bias.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Signed opinion and professional liability.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 18% | +2.2 |
| Total | 100% | 32% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Run models, reserves and sensitivities
- Draft technical reports and memos
- Choose assumptions, tables and criteria
- Explain to the board and the supervisor
- Validate data quality and bias
- Signed opinion and professional liability
- actuario
- actuary
Sources for this job· O*NET 15-2011.00· ESCO/ISCO 2120