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?
Prompt engineer
34%
#21 / 633
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512