Automation index
How much of a Job insertion technician’s job can AI already do?
An agreement and a card come earlier. Placing someone nobody calls, and them lasting the month, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Job insertion technician
24%
AI can already do 24% of this job.
#282 / 623
View rankingJob insertion 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 |
|---|---|---|---|
Employer prospecting and the agreements.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Go with them to the job and the first day.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Follow-up, incidents and the one who quits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Reports, indicators and justifying the grant.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The hard candidate and the employer who pulls out.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they stay, and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- prospect employers
- place candidates
- follow up in post
- insertion agreements
- justify grants
- job accompaniment
- workplace incidents
- insertion indicators
Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2423
IS WORK OVER?
Mobile developer
28%
#92 / 623
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514