# Will wind energy development managers be replaced by AI? Updated October 2026 Wind energy development managers score 53 of 100 for AI exposure. The largest share of their task time, 67%, is work AI speeds up while they stay in charge. AI can take over 26% outright, and 7% stays with people. - **26%** AI can do it - **67%** AI helps - **7%** Needs a person High exposure Higher than 81% of the 923 occupations we scored. ## Task by task We graded 15 tasks, listed here from most to least exposed. AI can do 4 of them today, speeds up 10 and leaves 1 to people. | Task | AI exposure | | --- | --- | | Provide verbal or written project status reports to project teams, management, subcontractors, customers, or owners. AI drafts status reports from project data; manager edits. | 70% AI can do it | | Prepare requests for proposals (RFPs) for wind project construction or equipment acquisition. AI drafts RFP documents from specs; manager reviews and issues. | 70% AI can do it | | Update schedules, estimates, forecasts, or budgets for wind projects. Schedule and budget updates are mostly structured data work. | 65% AI can do it | | Develop scope of work for wind project functions, such as design, site assessment, environmental studies, surveying, or field support services. AI drafts SOWs from templates; engineers verify technical scope. | 62% AI can do it | | Create wind energy project plans, including project scope, goals, tasks, resources, schedules, costs, contingencies, or other project information. AI drafts plan templates and schedules; manager refines and approves. | 58% AI helps | ## How wind energy development managers compare All occupations (923) Management (56) **Wind energy development managers score 53**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 46 for management. ## Pay and outlook in the US Median pay $141,900 a year, May 2025 People employed 103,698 in the US, May 2025 Projected change in jobs +4.9% from 2024 to 2034 ## Skills to build - Edit AI-drafted status reports and RFPs in Microsoft Word - Run budget variance analysis in Microsoft Excel and SAP - Build and update project schedules in Microsoft Project - Review ESRI ArcGIS siting and environmental constraint layers - Supervise subcontractor quality against specifications on site - Lead live negotiations on power purchase and interconnection agreements ## Safer roles nearby 5 related occupations with lower scores. - [Wind energy operations managers50 out of 100](https://www.aigentcy.com/ai-exposure/wind-energy-operations-managers/) - [Wind energy engineers48 out of 100](https://www.aigentcy.com/ai-exposure/wind-energy-engineers/) - [Hydroelectric production managers40 out of 100](https://www.aigentcy.com/ai-exposure/hydroelectric-production-managers/) - [Geothermal production managers40 out of 100](https://www.aigentcy.com/ai-exposure/geothermal-production-managers/) - [Solar energy installation managers43 out of 100](https://www.aigentcy.com/ai-exposure/solar-energy-installation-managers/) ## Questions about wind energy development managers and AI Will AI replace wind energy development managers? Partly. About 5 in 10 working hours of a wind energy development manager's time go to tasks AI can already do, mostly status reporting and RFP drafting. Negotiations, contractor supervision, and site work stay with people. Which tasks is AI taking over for wind energy development managers? Status reporting and RFP drafting are the most exposed, each with an exposure score of 70. AI drafts status reports from project data and RFP documents from specs, so the manager edits and issues them. Schedule and budget updates follow at 65, since they are structured data work that software can recalculate. Which tasks stay human for wind energy development managers? Supervising subcontractors and consultants stays with people, because oversight depends on site presence and contractor accountability. Live negotiations on power purchase, land use, and interconnection agreements also stay human. AI can prepare terms and review drafts, while the manager runs the table and is responsible for the outcome. How can wind energy development managers stay valuable? Keep the sign-offs, site supervision, and budget decisions. Sign off permit narratives in Word, since experts must verify the content. Run budget variance checks in Excel and SAP, then decide the corrective action yourself. Walk sites and supervise subcontractors in person. Use ESRI ArcGIS and AutoCAD to check siting constraints against plans. ## Related jobs - [Sustainability specialists60 out of 100](https://www.aigentcy.com/ai-exposure/sustainability-specialists/) - [Construction managers47 out of 100](https://www.aigentcy.com/ai-exposure/construction-managers/) - [Project managers53 out of 100](https://www.aigentcy.com/ai-exposure/project-managers/) - [Engineering managers43 out of 100](https://www.aigentcy.com/ai-exposure/engineering-managers/) ## Next steps for wind energy development managers - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.