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?
UX writer
28%
#125 / 633
View rankingUX writer
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 |
|---|---|---|---|
Microcopy, errors and the UI tone.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Glossary, consistency and i18n strings.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
User tests and the button nobody taps.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Legal, the disclaimer and not scaring people.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Design, product and the extra word.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it is understood, and not sounding like an ad.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
- microcopy
- UI tone
- error messages
- UX glossary
- i18n
- comprehension tests
- disclaimers
- UI strings
Sources for this job· O*NET 27-3043.00· ESCO/ISCO 2641