Automation index
How much of a Career counsellor’s job can AI already do?
A test and a pathway come earlier. Getting that person to the interview do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Career counsellor
29%
AI can already do 29% of this job.
#66 / 623
View rankingCareer counsellor
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 |
|---|---|---|---|
Profile, test and the map of possible jobs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
CV, letter and the mock interview.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The session, the block and the one who believes nothing.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Employers, placements and the bridge to a contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Public employment service, training and the calls.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
That they show up, and not dropping the case.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- career guidance
- write CVs
- mock interviews
- job pathway
- refer to training
- broker employers
- employability tests
- accompany to interviews
Sources for this job· O*NET 21-1012.00· 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