Generative AI is reshaping innovation across research and industry, offering unprecedented opportunities for entrepreneurship while posing complex technical, ethical, and social challenges. This panel explores how cutting-edge advances in foundation models, multimodal reasoning, and data efficiency are spawning a new wave of GenAI startups—and what it takes to turn research breakthroughs into sustainable companies.

Panelists will discuss key success factors: scientific differentiation, data and compute strategy, responsible AI design, and the evolving venture ecosystem. Panellists will share their experience and vision on what makes some startups thrive amid rapid technological change and intense competition, and how researchers and entrepreneurs can collaborate to accelerate innovation responsibly.

Aimed at academics, students, and practitioners, this session bridges science, engineering, and entrepreneurship to illuminate how GenAI research can translate into high-impact, scalable companies.