AI Stole My Job

Will AI replace Wind Energy Development Managers?

Estimated risk score: 58 out of 100

Moderate replacement risk

Estimate from published task research, not reviewed by a person · how we estimate

Within about 19 points for 4 in 5 of the jobs we checked (39 to 77).

For the occupation as a whole, from ratings of its 15 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 11-9199.10 · Management

Tasks rated in 2023 as ones AI could do or speed up

Tasks a GPT-4-class model could do, or do in half the time or less: 3 of its 15 rated tasks. In O*NET’s words.

  1. Provide verbal or written project status reports to project teams, management, subcontractors, customers, or owners.
  2. Prepare requests for proposals (RFPs) for wind project construction or equipment acquisition.
  3. Update schedules, estimates, forecasts, or budgets for wind projects.

Tasks rated in 2023 as not sped up by AI

Tasks such a model was rated as not speeding up or taking over: 0 of its 15 rated tasks. In O*NET’s words.

None of its rated tasks.

What the job is

Lead or manage the development and evaluation of potential wind energy business opportunities, including environmental studies, permitting, and proposals. May also manage construction of projects.

Also called: Business Development Manager, Energy Director, Wind Project Manager, Energy Project Director, Wind Development Leader, Renewable Power Director, Wind Projects Supervisor, Wind Development Director.

Closest jobs we score by hand

In the same field (Management). Different jobs, each scored by a person.

Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate