How electric cooperatives innovate with AI
November-December 2025
AI can analyze historical data on the demand for electricity, weather trends and consumer behavior to forecast future demand requirements. (courtesy Matthew Borkoski Photography)
by Shane Schwartz, Contributing Writer
Artificial intelligence is no longer a trendy, high-tech buzzword for the exclusive domain of data scientists and Silicon Valley firms. Today, electric cooperatives across the country are discovering how AI — particularly generative AI and large language models like ChatGPT and Gemini — can transform the way they power their local communities. From improving reliability and safety to enhancing member services and streamlining daily operations, AI is helping many electric co-ops do more with less.
Cooperatives are widely known for wearing many hats — from utility operators to first responders, to local economic development engines. But for many co-ops, limited staffing and tight budgets can make it difficult to explore new technologies.
AI tools, especially LLMs, now offer copy-and-paste workflows that anyone can use. Whether you’re a system engineer, a vegetation manager or a communications specialist, AI can act as a digital assistant — automating routine tasks, analyzing data and accelerating insights without any coding skills required. Even for experienced programmers, AI offers value. Those with technical backgrounds can use AI to rapidly test models, tune code or generate outputs in a timelier manner. But the real innovation is that now anyone at an electric co-op can access the benefits of advanced analytics and automation. While the specific tools and datasets may vary, most AI applications follow a simple process:
- Gathering Data: Relevant information can be pulled from internal systems or spreadsheets.
- Understanding Data: AI can be used to summarize, structure or flag any potential issues in the dataset.
- Applying a Prompt: Use a tested prompt to ask AI to perform a specific task or analysis.
- Putting AI to Work: AI-generated insights or outputs can be utilized to inform business decisions or create deliverables.
These tasks often take just a few hours to complete. Yet the time saved — and the ability to tackle previously out-of-reach projects — can have long-lasting positive impact across multiple departments. Let’s take a look at some of the most promising applications for AI.
LOAD FORECASTING AND PEAK PREDICTION
AI can analyze historical data on the demand for electricity, weather trends and consumer behavior to forecast future demand requirements. With simple prompt-based tools, electric co-ops can generate accurate predictions — helping them plan for high-demand periods without complex software or deep technical expertise.
ANOMALY DETECTION / PHASE IDENTIFICATION
AI can quickly scan SCADA systems, automated meter data or voltage datasets to detect unusual patterns — identifying issues like mis-phased meters or early signs of equipment failure before they escalate into power outages.
VEGETATION MANAGEMENT
By combining satellite imagery, LiDAR data and AI-powered image recognition, co-ops can assess and prioritize vegetation encroachments more efficiently — proactively preventing disruptions and reducing manual fieldwork.
SAFETY AND COMPLIANCE
AI can draft job hazard analyses, summarize safety reports or even generate site-specific assessments — all in minutes. This supports a safer work environment for all co-op employees while easing the documentation burden on safety staff.
BACK-OFFICE PRODUCTIVITY
LLMs are also proving useful in administrative tasks: crafting job descriptions, summarizing long reports, drafting member-facing messages and analyzing social sentiment around new rates and co-op services.
AI certainly isn’t a cure-all — but it is a powerful tool when applied thoughtfully. For electric cooperatives, it’s not about chasing tech trends. It’s about solving real-world problems, reducing strain on limited resources and delivering more value to co-op communities. As AI tools become easier to use and more tailored to the needs of rural utilities, the path forward is clear: Co-ops are positioned not just to adopt AI but to shape how it’s used to better serve their members.
Shane Schwartz writes on consumer and cooperative affairs for the National Rural Electric Cooperative Association.