From Code Contributor to Industry Power --How Open Source Becomes Taiwan’s AI Strategy

Taiwan helped build the world’s hardware industry. But in the AI era, competitive advantage is shifting beyond manufacturing toward software ecosystems, developer communities, data, and open-source collaboration.

Today, the world’s leading AI companies are increasingly built on open ecosystems. NVIDIA transformed CUDA into a developer platform. Hugging Face became a global AI community hub. Projects such as PyTorch, Kubernetes, vLLM, and ROS are now part of the invisible infrastructure powering modern AI innovation.

This creates both a challenge and an opportunity for Taiwan.

While Taiwan possesses world-class engineering talent and deep hardware expertise, its open-source ecosystem has long depended mainly on individual passion rather than systematic industry participation. As AI development becomes more open and collaborative, Taiwan must rethink how enterprises, startups, governments, and communities work together to create long-term software influence and industrial value.

This session explores how open source is evolving from a “developer activity” into a national AI strategy. The talk will introduce the concept of the “Open Source Flywheel” — where contribution creates influence, influence attracts talent and capital, and commercialization further accelerates ecosystem growth.

Through global examples and Taiwan’s emerging AI initiatives, the session will discuss how Taiwan can move beyond the role of hardware supplier and become an active participant in shaping the future AI ecosystem.

Topics include open-source business models, AI geopolitics, ecosystem competition, and Taiwan’s opportunities in Edge AI, cloud infrastructure, robotics, inference optimization, and multilingual AI.

As AI reshapes the global technology landscape, the key question is no longer whether Taiwan can manufacture the world’s hardware — but whether Taiwan can help build the world’s AI ecosystem.