Automation index
How much of a Scrum master’s job can AI already do?
A board and a retro template assemble. Unblocking a team and holding a director do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Scrum master
25%
AI can already do 25% of this job.
#251 / 633
View rankingScrum master
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 |
|---|---|---|---|
Facilitate ceremonies, boards and notes.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 45% | +9 |
Flow metrics and impediment reports.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 38% | +6.1 |
Team coaching and internal conflict.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 15% | +2.7 |
Protect the sprint from interruptions.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Train PO and managers in the method.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Change the system, not just the ritual.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Facilitate ceremonies, boards and notes
- Flow metrics and impediment reports
- Team coaching and internal conflict
- Protect the sprint from interruptions
- Train PO and managers in the method
- Change the system, not just the ritual
- scrum master
- agile coach
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421
IS WORK OVER?
Epidemiologist
31%
#34 / 633
View rankingEpidemiologist
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 |
|---|---|---|---|
Surveillance, rates and the outbreak on the map.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Studies, bias and the report for public health.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Surveys, contacts and the case interview.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Committee, the unpopular measure and the press.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Field, the care-home outbreak and dirty data.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Judgement, uncertainty and signing the alert.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- watch outbreaks
- compute rates
- epi studies
- case interviews
- map epidemics
- public-health measures
- contact tracing
- health alerts
Sources for this job· O*NET 19-1041.00· ESCO/ISCO 2263