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

Job insertion 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
Employer prospecting and the agreements.
Estimate

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

16%40%+6.4
Go with them to the job and the first day.
Estimate

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

18%18%+3.2
Follow-up, incidents and the one who quits.
Estimate

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

16%32%+5.1
Reports, indicators and justifying the grant.
Estimate

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

16%28%+4.5
The hard candidate and the employer who pulls out.
Estimate

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

18%14%+2.5
That they stay, and not dressing the figure.
Estimate

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

16%12%+1.9
Total100%24%

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

Skills and activities

  • prospect employers
  • place candidates
  • follow up in post
  • insertion agreements
  • justify grants
  • job accompaniment
  • workplace incidents
  • insertion indicators

Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2423

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