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

IS WORK OVER?

27%

AI can already do 27% of this job.

#163 / 623

Renewables engineer

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.

Task	Share	AI	Points
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
Total	100%		27%

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

IS WORK OVER?

26%

#211 / 623

Last-mile manager

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.

Task	Share	AI	Points
Zones, capacity and route cuts. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The courier, the lobby and the one who will not open. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		26%

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