Automation index
How much of a Battery technician’s job can AI already do?
A BMS comes earlier. Diagnosing the module without setting the bank on fire do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Battery technician
19%
AI can already do 19% of this job.
#537 / 633
View rankingBattery 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 |
|---|---|---|---|
BMS, SOH and the log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Module, the imbalance and the one that swells.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Shop, isolation and not shorting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Thermal, the fire and the protocol.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The vehicle, the warranty and not swapping blind.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
No fire, and the module right.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- BMS
- SOH
- modules
- imbalance
- swelling
- isolation
- thermal fire
- battery warranty
Sources for this job· O*NET 17-3023.00· ESCO/ISCO 3113
IS WORK OVER?
Mobile developer
28%
#92 / 633
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