IS WORK OVER?

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

Mediator

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.

TaskShareAIPoints
Prepare the brief, the agreement to mediate and the file.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Joint sessions and caucuses with the parties.
Estimate

No public source provides a precise figure. This is our estimate.

18%12%+2.2
Reframe, propose and land clauses.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Draft the settlement and each session’s minutes.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Manage time, lawyers and emotion in the room.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Close, homologate and follow up the deal.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%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

Last-mile manager

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.

TaskShareAIPoints
Zones, capacity and route cuts.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
KPIs, first attempt and incidents.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%26%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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