Sustainability of general-purpose AI versus task-specific models

Abstract

Artificial Intelligence (AI) relies on significant energy resources, raising questions about its environmental sustainability, especially as adoption grows in business functions like marketing. Therefore, this thesis investigates whether it is possible to create an evaluation framework that assesses both the environmental sustainability and cost-effectiveness of general-purpose and task-specific AI models used for marketing tasks.