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.

#537 / 633

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?

28%

#112 / 633

Route planner

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
Optimise, windows and capacity. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Restrictions, tolls and the right vehicle. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The salesperson who promises and the plan that will not. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Recalc, incidents and the next day. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The warehouse, the cut-off and not leaving the last one. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it fits, and not blowing the hours. Estimate No 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