Shared Progress: How Can Open-Sourcing Speed the AI Race?

Today, artificial intelligence has become a transformative economic force shaping industries, influencing policies, and driving global competition. Amid the rapid scaling of AI models across industries and borders, a key debate continues to divide: should AI be open-source or closed-source? Early 2025 saw a surge in open-source AI initiatives, with advocates emphasizing its cost efficiency and lower energy demands. But can open-source truly redefine the AI landscape? And after the breakthroughs of the first half of the year, what’s next for open-source AI? This session will explore open sourcing, first tackling its definition, before examining key trade-offs and exploring a path forward that fosters innovation and responsible AI development.