Automation index
How much of a Ship agent’s job can AI already do?
An ETA comes earlier. Clearing the ship without extra demurrage do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Ship agent
26%
AI can already do 26% of this job.
#195 / 633
View rankingShip agent
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 |
|---|---|---|---|
ETA, berth and port services.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
Clearance, crew and the crew change.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The master, the terminal and the window clash.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Invoices, disbursements and the owner’s account.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The inspection, the delay and not losing the slot.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
No extra demurrage, and the ship cleared.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
- ETAs
- berths
- ship clearance
- crew changes
- disbursements
- terminal windows
- owner’s accounts
- port inspections
Sources for this job· O*NET 43-5011.00· ESCO/ISCO 3331
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