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.
#467 / 713
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?
Instructional designer
27%
#158 / 713
View rankingInstructional designer
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 |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351