This paper proposes a future-oriented framework for integrating artificial intelligence (AI) into electrical engineering education while preserving academic integrity, enhancing student motivation, and strengthening soft skills. Through a review of current literature, institutional practices, and practical case studies conducted in European educational institutions, the study examines how AI technologies reshape learning environments and student behavior. The results demonstrate that, when strategically embedded in digital learning environments, AI can significantly support the development of essential soft skills such as communication, collaboration, and adaptability, while also fostering intrinsic motivation and ethical awareness. The paper introduces a four-pillar framework - Ethical Foundations, Cognitive Engagement, Collaborative Learning, and Reflective Practice, that provides educators and policymakers with practical guidance for responsible AI adoption. This framework ensures that future engineers remain technically proficient, critically minded, and ethically grounded in the rapidly evolving digital landscape. The findings contribute to the ongoing discourse on aligning AI use with human-centric educational values and offer actionable strategies for higher education institutions seeking to prepare students for complex, interdisciplinary engineering challenges in the AI era.