IS WORK OVER?

Automation index

How much of a Renewables engineer’s job can AI already do?

A solar resource and a layout come earlier. Connecting the plant so it actually exports do not.

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

Task comparison

Renewables engineer

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
Resource, layout and the yield model.
Estimate

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

18%48%+8.6
Site, topography and the cable that will not reach.
Estimate

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

16%22%+3.5
Permits, grid point and the TSO.
Estimate

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

16%36%+5.8
EPC, commissioning and export tests.
Estimate

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

16%28%+4.5
The neighbour, the council and the appeal against the plant.
Estimate

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

18%14%+2.5
That it exports, and not inflating equivalent hours.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • plant layout
  • solar resource
  • grid connection
  • commissioning
  • renewables permits
  • yield model
  • export tests
  • EPC

Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2149

Logistics analyst

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
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
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

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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