Building an AI ecosystem in a small nation: lessons from Singapore’s journey to the forefront of AI

• Main Authors: Khanal, Shaleen, Zhang, Hongzhou, Taeihagh, Araz
• Other Authors: S. Rajaratnam School of International Studies
• Format: Article
• Language: English
• Published: 2024
• Subjects: Social Sciences; AI ecosystem; Small nation
• Online Access: https://hdl.handle.net/10356/181327
• Institution: Nanyang Technological University

Artificial intelligence (AI) is arguably the most transformative technology of our time. While all nations would like to mobilize their resources to play an active role in AI development and utilization, only a few nations, such as the United States and China, have the resources and capacity to do so. If so, how can smaller or less resourceful countries navigate the technological terrain to emerge at the forefront of AI development? This research presents an in-depth analysis of Singapore’s journey in constructing a robust AI ecosystem amidst the prevailing global dominance of the United States and China. By examining the case of Singapore, we argue that by designing policies that address risks associated with AI development and implementation, smaller countries can create a vibrant AI ecosystem that encourages experimentation and early adoption of the technology. In addition, through Singapore’s case, we demonstrate the active role the government can play, not only as a policymaker but also as a steward to guide the rest of the economy towards the application of AI.