This whitepaper explores how Generative AI can improve transmission and distribution asset management for electric utilities. It highlights use cases across text (e.g., summarization, info extraction), image (e.g., restoration, resolution upscaling), and audio (e.g., meeting transcription). While GenAI shows strong promise, challenges include model opacity, data bias, evolving tool performance, and high computational demands. EPRI’s R\&D focuses on identifying high-value applications, improving accuracy, and promoting adoption through collaboration and education.

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