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?

19%

AI can already do 19% of this job.

#547 / 643

Battery technician

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. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Module, the imbalance and the one that swells. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Shop, isolation and not shorting. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Thermal, the fire and the protocol. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The vehicle, the warranty and not swapping blind. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
No fire, and the module right. Estimate No 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

IS WORK OVER?

26%

#216 / 643

Last-mile manager

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
Zones, capacity and route cuts. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The courier, the lobby and the one who will not open. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		26%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low