South Asia Must Build Homegrown AI Infrastructure, Experts Say

Policymakers and technology experts across South and Southeast Asia are increasingly recognizing the need for countries in the region to establish their own artificial intelligence infrastructure rather than relying solely on imported solutions from global technology giants.

The push for localized AI development stems from concerns about digital sovereignty, data security, and the ability to tailor technological solutions to regional needs. By building indigenous AI capabilities, countries can better address challenges specific to their populations while reducing vulnerability to external technological disruptions.

Local infrastructure development also promises economic benefits, including the creation of high-skilled technology jobs and fostering domestic innovation ecosystems. Countries that invest in homegrown AI systems can develop solutions adapted to local languages, cultural contexts, and economic conditions, rather than depending on one-size-fits-all global platforms.

Experts note that establishing regional AI infrastructure requires coordinated investment in research institutions, educational programs, and technical talent development. Collaboration between governments, private sector companies, and academic institutions is seen as essential to building competitive local alternatives.

As artificial intelligence increasingly shapes economic and social development, regional leaders are prioritizing AI self-sufficiency as a strategic priority alongside broader digital transformation efforts across South and Southeast Asia.