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.

#573 / 673

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?

22%

#394 / 673

Art teacher

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
Project, the sheet and the kit. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Classroom, the one who will not dare and the one who bins it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Technique, the mistake and not doing it for them. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Show, the corridor and not hanging only the pretty. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Staff, 'it's a soft subject', and not dropping the bar. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they get dirty, and not copying the model. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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