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?
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