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

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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