IS WORK OVER?

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

Battery 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.

TaskShareAIPoints
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
Total100%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

Order picker

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.

TaskShareAIPoints
List, location and the scan.
Estimate

No public source provides a precise figure. This is our estimate.

16%48%+7.7
Aisle, height and the parcel that will not fit.
Estimate

No public source provides a precise figure. This is our estimate.

22%10%+2.2
Errors, the short and calling it.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Pace, the shift and the pallet that goes.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Peaks, Black Friday and not mixing orders.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Hit the SKU, and not leaving a lame pallet.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%22%

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

Skills and activities

  • picking
  • scan locations
  • shorts
  • build pallets
  • warehouse aisles
  • order peaks
  • SKUs
  • voice picking

Sources for this job· O*NET 53-7062.00· ESCO/ISCO 4321

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