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

Logistics analyst

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
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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