Automation index
How much of a Port crane operator’s job can AI already do?
A stowage plan comes earlier. Lifting the box without hitting the ship do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Port crane operator
18%
AI can already do 18% of this job.
#582 / 643
View rankingPort crane operator
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 |
|---|---|---|---|
Stowage, bays and the twistlock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Hoist, the wind and the spreader.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 6% | +1.4 |
Shift, the ship that arrives and the one that leaves.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Breakdown, the spreader that will not lock and stopping.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The docker below and covering nobody.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Not hitting the ship, and leaving the bay clear.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
- stowage
- twistlocks
- spreader
- bays
- lift boxes
- quay wind
- terminal shifts
- cover nobody
Sources for this job· O*NET 53-7021.00· ESCO/ISCO 8343
IS WORK OVER?
Prompt engineer
34%
#21 / 643
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