Automation index
How much of a Pest control technician’s job can AI already do?
A protocol and a sheet come earlier. Treating without poisoning the people who live there do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Pest control technician
25%
AI can already do 25% of this job.
#254 / 633
View rankingPest control technician
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 |
|---|---|---|---|
Inspection, species and the treatment plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Bait, apply, seal and look again.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Sheets, schedule and the certificate for the client.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Explain risks, times and what is not a miracle.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 22% | +4 |
Rules, biocides and waste.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
That the pest drops and nobody else pays.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- pest control
- inspect infestations
- bait
- apply biocides
- seal entry points
- treatment certificate
- identify species
- not poison anyone
Sources for this job· O*NET 37-2021.00· ESCO/ISCO 7544
IS WORK OVER?
Last-mile manager
26%
#211 / 633
View rankingLast-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.
| Task | Share | AI | Points |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 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