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

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
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

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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