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.
#547 / 643
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?
Logistics analyst
28%
#79 / 643
View rankingLogistics analyst
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 |
|---|---|---|---|
Costs, OTIF and the dashboard.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Simulate network, warehouses and the what-if.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Ops, dirty data and going down to the dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the board and the cut that hurts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The haulier, the contract and not breaking the service.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A real saving, and not dressing OTIF.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
- logistics costs
- OTIF
- simulate network
- what-if
- dirty data
- haulage contracts
- dashboards
- network cuts
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421