At its core, a
local AI ecosystem refers to the interconnected web of entities—like universities, startups, government agencies, and civil society organizations—that drive AI research, development, and application within a specific geographical region. As noted in discussions by organizations such as the
United Nations University, these ecosystems are vital in understanding the diverse interactions among actors and their capacities to innovate. Countries like Indonesia, South Africa, and Brazil are shining examples, showing how localized investment strategies can yield robust AI hubs centered around urban areas. For instance,
Indonesia’s National AI Strategy (2020–2045) is a major leap towards enhancing the public investment landscape, providing essential AI infrastructure to support local industries and communities.
As we confront the
climate crisis, artificial intelligence emerges as a crucial ally navigating through the challenges imposed by climate change and natural disasters. AI technologies are being utilized to optimize sectors such as agriculture, energy, and resource management, effectively working towards environmental sustainability. Here are some notable ways that local AI innovations contribute to climate action:
Local AI innovations addressing climate challenges are not mere theoretical applications; they are tangible solutions being deployed every day in communities worldwide. AI impacts are particularly felt in developing countries, where tailored AI applications can help bridge financial and knowledge gaps in addressing urgent climate needs.