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Towards a More Sustainable Generative Artificial Intelligence in 2025

Writer's picture: Alexis EstayAlexis Estay

Artificial Intelligence (AI) has transformed various industries, but its growing adoption brings significant challenges in terms of sustainability. According to experts from the Instituto Tecnológico de Informática (ITI), energy consumption associated with AI is expected to reach 1,065 terawatt-hours by 2030, representing 4% of global energy usage. This increase highlights the need to develop more efficient and sustainable AI models.


To address these challenges, ITI is participating in the European AIDEAS project, which aims to optimize all stages of the lifecycle of industrial equipment using AI technologies. The project focuses on improving the design, manufacturing, use, repair, reuse, and recycling of equipment, promoting more sustainable practices in the machinery industry.


Additionally, the consolidation of responsible AI is essential. Regulations like the European Union's AI Act demand transparency and traceability in the development and use of AI. It is estimated that 40% of companies in regulated sectors will combine data and AI governance to respond to increasing regulatory complexity and the demand for more transparent operations.


In summary, progress toward more sustainable and responsible generative AI in 2025 will depend on collaboration between institutions, businesses, and policymakers. Implementing efficient technologies and complying with regulations will ensure that AI continues to be a beneficial tool without compromising the environment or ethical standards.


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