Abstract:
This research looks at how Artificial Intelligence (AI) is being used to support
sustainability goals in Singapore and Indonesia, two countries with very different paths
of development. Singapore takes a government-driven approach with its "Green AI
Blueprint," which focuses on strict rules, large public investment in green projects, and a
clear system of regulations designed to set global standards in sustainable technology. This top-down strategy has succeeded in creating energy-saving solutions and building
strong international credibility. In contrast, Indonesia’s progress is more bottom-up and
market-driven. A growing startup community is working on practical solutions to
environmental and social challenges, such as making farming more efficient and
improving access to finance. This approach is flexible and creative, but it is also slowed
down by weak infrastructure and limited government coordination. This study argues that neither model is automatically better. Instead, both offer
important lessons for the wider goal of sustainable development. The most valuable
progress will come from connecting the strengths of each. The paper puts forward
suggestions for building this collaboration—such as helping Indonesia develop stronger
institutions for its innovations, while giving Singapore opportunities to test its
governance frameworks in real-world and diverse settings.
