Key facts
- Report calls for AI investment beyond models to full ecosystems
- Emerging markets risk becoming AI consumers rather than creators
- Infrastructure, talent, regulation and local data identified as key gaps
- Relevant to India's IndiaAI Mission and AI policy ambitions
Artificial intelligence investment flowing into emerging markets must go well beyond funding large language models and AI tools, and instead prioritise the ecosystems that allow technology to flourish sustainably — including infrastructure, local talent, regulation, and data, according to a report highlighted by The Economic Times.
The argument is particularly pointed for countries like India, which have made AI a centrepiece of economic and technological ambition. The report warns that the current pattern of investment — often dominated by importing or fine-tuning models built in the United States or China — risks leaving emerging economies as consumers rather than creators of AI, limiting long-term value capture.
Building a genuine AI ecosystem requires investment across multiple layers simultaneously: reliable and affordable compute infrastructure, universities and training programmes producing AI-ready talent, legal and regulatory systems that govern data use and algorithmic accountability, and the creation of high-quality datasets that reflect local languages, contexts, and needs. Without these foundations, even the most advanced AI models will struggle to deliver meaningful, lasting impact on the ground.
For India, which has laid some groundwork through initiatives like the IndiaAI Mission and a growing startup ecosystem, the report's findings serve as both validation and a call to deepen commitments beyond headline model announcements. The message to policymakers and investors is clear: the nations that build the full stack — not just the model layer — will be best positioned to lead the next decade of AI-driven growth.