IS WORK OVER?

Automation index

How much of a EV charger installer’s job can AI already do?

A single-line diagram comes earlier. A legal charger that actually charges at night do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

EV charger 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
Single-line, power and the certificate.
Estimate

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

16%40%+6.4
Conduit, cable and the board that will not take it.
Estimate

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

18%14%+2.5
Configure, app and load balancing.
Estimate

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

16%28%+4.5
Residents, the bay and the neighbour who objects.
Estimate

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

16%22%+3.5
The electrical inspection and the inspector.
Estimate

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

18%18%+3.2
That it charges at night, and not tripping the main.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • EV chargers
  • single-line
  • load balancing
  • electrical certificate
  • wire the bay
  • charger app
  • charge board
  • residents

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

Strength and conditioning coach

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
Load, GPS and the microcycle.
Estimate

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

16%40%+6.4
Gym, the pattern and the one who cheats.
Estimate

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

18%14%+2.5
Rehab, the injured and not rushing the return.
Estimate

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

16%28%+4.5
Report, the manager and the fight over minutes.
Estimate

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

16%22%+3.5
The peak, pre-season and not grinding them.
Estimate

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

18%18%+3.2
Ready, and not broken.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • load
  • training GPS
  • microcycles
  • rehab
  • movement pattern
  • pre-season
  • reports to the manager
  • the gym

Sources for this job· O*NET 29-9091.00· ESCO/ISCO 3423

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