A new report says that emerging markets need to invest in complete AI ecosystems rather than concentrating only on developing AI models. As artificial intelligence evolves from traditional systems to generative and agentic AI capable of handling complex tasks, countries have a unique opportunity to use the technology to overcome long-standing challenges in sectors such as education, healthcare, and financial services.
The report emphasizes that successful AI adoption depends on strong digital infrastructure, high-quality data, skilled talent, supportive regulations, and access to computing resources. Without these foundational elements, even advanced AI models will struggle to deliver meaningful economic and social benefits. Building sustainable AI ecosystems is therefore essential for long-term growth.
Researchers also highlight that AI adoption is occurring faster than previous technological revolutions, making it crucial for governments, investors, and businesses to collaborate. Investment should extend beyond funding AI startups to supporting research, local innovation, workforce development, and infrastructure that enables AI solutions tailored to regional needs.
The report concludes that emerging economies can become global AI leaders by fostering innovation-friendly environments instead of focusing solely on building frontier AI models. A holistic approach that combines technology, policy, talent, and infrastructure will help unlock AI's full potential while ensuring its benefits are broadly shared across society.
