Automation index
How much of a Mediator’s job can AI already do?
Minutes and a map of positions come earlier. Sitting the parties down until they sign does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Mediator
21%
AI can already do 21% of this job.
#428 / 633
View rankingMediator
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 |
|---|---|---|---|
Prepare the brief, the agreement to mediate and the file.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Joint sessions and caucuses with the parties.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Reframe, propose and land clauses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Draft the settlement and each session’s minutes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Manage time, lawyers and emotion in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Close, homologate and follow up the deal.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Reframe, propose and land clauses
- Close, homologate and follow up the deal
- mediador
- mediadora
- mediator
- mediacion
Sources for this job· O*NET 23-1022.00· ESCO/ISCO 2619
IS WORK OVER?
Logistics analyst
28%
#79 / 633
View rankingLogistics analyst
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 |
|---|---|---|---|
Costs, OTIF and the dashboard.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Simulate network, warehouses and the what-if.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Ops, dirty data and going down to the dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the board and the cut that hurts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The haulier, the contract and not breaking the service.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A real saving, and not dressing OTIF.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
- logistics costs
- OTIF
- simulate network
- what-if
- dirty data
- haulage contracts
- dashboards
- network cuts
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421