The future of generative AI is poised to move beyond today’s large language models, with experts pointing to a new era driven by more intelligent, adaptive systems. At the inaugural MIT Generative AI Impact Consortium (MGAIC) Symposium, leaders from academia, industry, and research gathered to explore how this transformative technology will evolve and shape society. MIT Provost Anantha Chandrakasan opened the event by emphasizing the urgency of keeping pace with rapid advancements in generative AI. He stressed that while the technology is moving fast, so too must collective wisdom, ethics, and governance. MIT President Sally Kornbluth echoed this sentiment, underscoring the responsibility of institutions like MIT to ensure AI developments serve the public good and can be trusted in critical real-world applications. Yann LeCun, Meta’s chief AI scientist, offered a bold vision for the next phase of AI. Rather than focusing solely on scaling existing language models, he believes the future lies in “world models”—systems that learn from sensory experiences, much like a young child. These models would process visual, auditory, and physical interactions to understand the real world, enabling robots to learn new tasks independently without explicit training. LeCun argued that such systems could make robots truly versatile and useful in complex environments, marking a leap beyond today’s AI limitations. Despite the potential for increasingly intelligent systems, LeCun remains confident in humanity’s ability to control AI. He compared designing safe AI to centuries of societal efforts to create rules that guide human behavior. With proper engineering and safeguards, he said, future AI will operate within defined boundaries and cannot escape human oversight. Tye Brady, chief technologist at Amazon Robotics, highlighted practical applications already emerging in industry. Amazon uses generative AI to optimize robot navigation and material handling in warehouses, significantly improving efficiency. He anticipates a wave of innovation in collaborative robotics—where AI-powered machines work alongside humans to enhance productivity and safety. Brady called generative AI the most impactful technology of his career in robotics. Other speakers showcased diverse applications across sectors. From Coca-Cola and Analog Devices to health tech startup Abridge, companies are integrating generative AI to streamline operations, improve decision-making, and enhance customer experiences. MIT researchers presented cutting-edge work on reducing noise in ecological images, detecting and correcting AI hallucinations, and helping language models better understand visual data. The symposium concluded with a call to action. Vivek Farias, co-lead of MGAIC and professor at MIT Sloan, expressed hope that attendees left inspired not just by the possibilities, but by the urgency to turn them into reality. The future of generative AI is not just about smarter machines—it’s about building systems that are trustworthy, ethical, and designed to benefit humanity at scale.