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In a world where rapid technological advances are reshaping economic and social landscapes, rethinking the management of the digital commons is more urgent than ever. As digital platforms continue to expand their influence, ensuring equitable access, transparency, and sustainability of shared resources demands innovative approaches like blockchain that transcend traditional methods. This incubation room will explore how generative AI can revolutionize digital commons management by enhancing decision-making, streamlining processes, and fostering active, inclusive participation. It will discuss how states can build inclusive regulatory frameworks to manage the deployment of generative AI tools, and the risks of over-regulation stifling innovation in this dynamic space. Through expert-led discussions, immersive case studies, and collaborative group activities, participants will investigate real-world applications of generative AI in promoting effective and fair governance, and how the deployment of generative AI tools interact with regulatory structures. Attendees will also discover how AI-driven insights can anticipate trends, automate complex tasks, and optimize resource allocation, equipping them context on how this knowledge and these tools could be used to thrive in the evolving digital economy.

This incubation room will focus on the themes of firms, financing and labor markets in the age of AI. On the firms side, we will explore a range of questions on how AI changes the costs of starting a business in emerging markets, where startups can effectively apply AI, and where might benefits currently be overstated. We will discuss financing options and policies for startups to develop and  implement AI solutions. Lastly, we will delve into discussions on how AI can boost productivity for firms in emerging economies. On the labor markets side, we will discuss how AI could improve job matching and overall labor market efficiency in emerging markets, focusing in particular on overcoming barriers in job search, skill signaling, and geographic mobility. We will discuss how AI can help reskill existing workers, and how we can ensure that AI’s benefits extend to workers globally. By the end of our incubation session, participants will be able to identify promising ideas for each theme, build a network of potential collaborators, and contribute to a broader discussion on how AI can drive inclusive growth in the global south.

In the 2004 World Report on Knowledge for Better Health, the Director-General of the World Health Organization highlighted a persistent “gap between today's scientific advances and their application: between what we know and what is actually being done.” Despite significant progress in expanding health services since then, this “know-do gap” remains. For example, the leading causes of child mortality worldwide continue to be infectious diseases that are preventable and treatable with existing technologies. AI has emerged as a powerful tool to address some of these barriers, demonstrating potential in disease diagnostics, predictive analytics, cost-effective remote health services, and rapid policy responses to epidemics and natural disasters. However, persistent challenges in healthcare delivery coincide with critical gaps in the high-quality data needed to train AI models. How can we ensure that AI helps close rather than widen the know-do gap? This session will explore promising use cases and the challenges of implementation. Participants will engage in interactive discussions to identify scalable AI-driven initiatives for potential seed funding through the GEM Incubation Fund. The session will convene a diverse group of stakeholders- including development experts, policymakers, AI practitioners, and business leaders—to examine the ethical, regulatory, and practical considerations essential for leveraging AI to advance global health equity.