Smarter, smaller, stronger resource efficient generative AI and future of digital transformation

2026

Open publication workspace · Sign in to read the full PDF.

AI-generated summary

This report details how resource-efficient generative AI can drive a more sustainable and equitable digital transformation.
* Explores the environmental impact of generative AI, including energy and water consumption.
* Presents three scalable strategies to reduce AI's energy footprint: model quantization, prompt/output optimization, and the use of smaller models.
* Offers recommendations for policymakers, industry, and users to promote responsible AI development and adoption.
Tags: Generative AI, Sustainability, Digital Transformation, Resource Efficiency, AI Ethics

Check the original publication for accuracy and context.