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Energy Engineers, Except Wind and Solar

O*NET SOC 17-2199.036 tasks studied
17%

of tasks in the Energy Engineers, Except Wind and Solar role are ones AI can already do, per AI experts.

17% AI can do today83% workers want automated6 tasks rated

From a Stanford study where AI experts and energy engineers, except wind and solar workers rated each real task (O*NET). Not a guess from the job title.

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Key statistics

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  • AI can already do 17% of the 6 work tasks in the Energy Engineers, Except Wind and Solar role, according to AI experts in the Stanford WORKBank study (O*NET SOC 17-2199.03).
  • Workers in the Energy Engineers, Except Wind and Solar role want about 83% of their tasks automated (Stanford WORKBank, 1,500 U.S. workers).
  • 1 of 6 Energy Engineers, Except Wind and Solar tasks are Automation Green Light, wanted by workers and do-able by AI, that is 17% of the role (Stanford WORKBank).
  • The typical Energy Engineers, Except Wind and Solar task scores 3.08/5 for worker desire to automate and 3.06/5 for AI capability today (Stanford WORKBank, 1-5 scale).

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What workers told Stanford

Of the 6 tasks studied for Energy Engineers, Except Wind and Solar, 1 (17%) are in the Automation Green Light zone, AI can largely do them and workers want it. Across all tasks, workers want about 83% automated. The typical task scores 3.08/5 for worker desire and 3.06/5 for AI capability.

All 6 tasks, most-wanted first

Related occupations

Other Architecture and Engineering roles in the Stanford WORKBank study, closest AI-capability share first.

Lower-automation alternatives

Less of these jobs is automatable today: AI experts rate a smaller share of their tasks as doable than the 17% for Energy Engineers, Except Wind and Solar (Stanford WORKBank).