Balancing intelligence and energy: The strategic shift toward smaller AI models

To survive the next phase of development, organizations must mandate that AI teams start with energy efficiency as a foundational operating principle and consider energy implications at every stage of the AI lifecycle, from data curation to deployment. By applying holistic thinking to IT challenges, developers will be able to refine their techniques and spark renewed creativity in the next wave of AI’s evolution.