Automation index
How much of a Marine engineer’s job can AI already do?
An engine log comes earlier. The engine lasting the crossing do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Marine engineer
21%
AI can already do 21% of this job.
#427 / 633
View rankingMarine engineer
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 |
|---|---|---|---|
Rounds, parameters and the engine log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Breakdown, the sea and repairing with what you have.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Fuel, oils and the port change.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Watch, alarms and the one who does not sleep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Survey, class and not dressing the log.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Last the crossing, and not silencing the alarm.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- engine rounds
- engine log
- breakdowns at sea
- watches
- class
- fuels
- engine-room alarms
- repair on passage
Sources for this job· O*NET 53-5031.00· ESCO/ISCO 3151
IS WORK OVER?
Prompt engineer
34%
#21 / 633
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512