Automation index
How much of a Traffic warden’s job can AI already do?
A camera and a stock ticket come earlier. Running a junction and taking the abuse do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Traffic warden
21%
AI can already do 21% of this job.
#414 / 643
View rankingTraffic warden
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 |
|---|---|---|---|
Tickets, photos and the plate record.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Junction, closure and the rush-hour jam.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Tow, parking and the one who stands in the way.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Events, races and the day’s operation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Deal, explain and the insult in the street.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
A fair ticket, and not making a scene.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- issue tickets
- run junctions
- tow vehicles
- control events
- read plates
- close roads
- parking
- deal with drivers
Sources for this job· O*NET 33-3041.00· ESCO/ISCO 3355
IS WORK OVER?
Agile coach
24%
#262 / 643
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421