The Quantum Internet is expected to become the next revolution in communication by enabling secure and distributed quantum information exchange among future quantum devices. However, unlike today's Internet, quantum networks must manage fragile quantum resources, probabilistic entanglement generation, limited quantum memories, and stringent physical constraints. These challenges make conventional network control insufficient for operating large-scale quantum networks. This keynote explores how artificial intelligence (AI) can become a key enabler of intelligent quantum networks. After introducing the fundamental concepts and architecture of the Quantum Internet, the talk discusses how AI techniques, particularly machine learning and reinforcement learning, can optimize entanglement routing, resource allocation, quantum memory management, and autonomous network control. Recent research from the QuWi Laboratory at JAIST will be presented to illustrate how AI-driven optimization and quantum network framework can accelerate the realization of scalable and reliable quantum communication systems. Finally, the keynote highlights future research opportunities at the intersection of AI and quantum networking, where intelligent decision-making is expected to play a central role in building autonomous, resilient, and efficient Quantum Internet infrastructures for the next generation of communication technologies.