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.
#219 / 703
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?
Instructional designer
27%
#158 / 703
View rankingInstructional designer
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 |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351