IS WORK OVER?

Automation index

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

A roof study and a quote come earlier. Climbing the roof, anchoring, and not falling do not.

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

Task comparison

Solar 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
Roof study, shade and quote.
Estimate

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

18%42%+7.6
Permits, reports and orders.
Estimate

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

16%32%+5.1
Fit structure, modules and cabling on roofs.
Estimate

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

22%10%+2.2
Inverter, commissioning and measurements.
Estimate

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

16%14%+2.2
Heights, anchors and weather.
Estimate

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

14%16%+2.2
Client, community and easements.
Estimate

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

14%15%+2.1
Total100%21%

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

Skills and activities

  • Roof study, shade and quote
  • Permits, reports and orders
  • Inverter, commissioning and measurements
  • Heights, anchors and weather
  • Client, community and easements
  • placas solares
  • instalador fotovoltaico
  • solar installer

Sources for this job· O*NET 47-2231.00· ESCO/ISCO 7411

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
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

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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