AI is transforming business, investment, and economic growth across Asia’s emerging markets.

In the dynamic landscape of emerging Asia, the influence of information technology (IT) and artificial intelligence (AI) varies across countries such as China, Japan, South Korea, and Singapore, each making unique strides in redefining how businesses operate and make critical decisions. These technologies continue to evolve, becoming the backbone of innovative strategies shaping the future of industries across the region. From enhancing efficiency to unlocking new market potentials, the integration of IT and AI is paving the way for smarter, data-driven choices that will drive success. These developments are reshaping Asia’s competitive landscape and redefining the future of business across the region.

Emerging markets in Asia are actively adopting IT and AI to transform their economies and businesses, fostering confidence in future growth and innovation. This trend has the potential to empower both companies and policymakers, inspiring optimism about the region’s technological trajectory. The report Worldwide AI and Generative AI Spending Guide from the International Data Corporation indicates that by 2027, organizations in Southeast Asia anticipate that AI and generative AI (GenAI) technologies will reduce total operational costs by approximately 7 to 9 percent. 

The Asia-Pacific region stands out as one of the most dynamic areas for AI adoption, with countries such as China, Japan, South Korea, and Singapore making significant investments in AI technologies to enhance productivity and competitive advantage. AI applications are being integrated across various sectors, including e-commerce, financial services, and payment management.

AI’s Impact on Economy and Businesses in Asia

AI is transforming business decision-making in Asia, prompting businesspeople to emphasize value creation and cost efficiency. Companies are increasingly leveraging AI to enhance customer experiences, optimize operational processes, and facilitate more informed decision-making. Nevertheless, various challenges persist, including the availability of high-quality data, human capital shortages, and concerns regarding security and privacy. 

Asian companies face several challenges in AI adoption, including significant obstacles such as a lack of high-quality data and data fragmentation; widespread concerns about data security and privacy; and AI regulation that is still evolving in many Asian countries. Addressing these issues transparently can reassure stakeholders and foster trust in the responsible development of AI. 

AI data centers are notorious for consuming massive amounts of fresh water, energy, and land. The hundreds of thousands of chips installed in these data centers are heavily guarded by designers in the United States and China, as well as by manufacturers at some key Asian foundries.

Despite these challenges, AI offers significant opportunities for Asian companies, including optimizing operations and reducing costs; creating new products and services; and expanding business activities and reaching new markets. These prospects can inspire optimism and motivate stakeholders about the region’s technological future.

AI adoption in Asia is expected to drive trillions in economic growth by 2030. Asian companies are already using AI in sectors such as healthcare, finance, and logistics, with 80 percent planning to increase their AI investments in the next two to three years. Governments have announced plans to invest billions of dollars in AI initiatives by 2025, focusing on these critical sectors, underscoring the region’s strong commitment to technological advancement and economic growth.

Emerging markets in Asia are embracing AI and IT technologies to transform their economies and businesses. Despite challenges, AI offers significant opportunities for Asian companies, including efficiency improvement, innovation, and growth.

How to Fully Leverage the AI Revolution in Asia 

What needs to be done now to embrace the AI revolution in Asia fully? Stakeholders must act promptly to capitalize on the region’s potential and address existing challenges effectively.

Despite the huge potential for AI adoption in Asia, much more needs to be done to embrace and leverage the AI revolution fully.

Firstly, the world’s best AI chip manufacturing sites are in Asia. The so-called fabrication sites need to engage more with local communities. Share more knowledge and resources with the broader population and nurture more talents. The fabrication process consumes a huge amount of water and energy. A more sustainable approach to the extraction and utilization of local resources is urgently needed.

Secondly, AI systems rely on large volumes of data—text, images, numbers, audio, video, and more—to train models. The quality, quantity, and representativeness of this data directly affect how well the AI performs. Asian countries have huge populations, rich histories, and diverse cultures. All these data are being digitized, sometimes, without local participation. The model outputs from these precious resources for AI training could be shared with the inhabitants of these communities.

Thirdly, the world’s leading AI models, both from the United States (such as ChatGPT, Claude, and DeepMind) and from China (such as Doubao, DeepSeek, and Qwen), should consider investing in and building AI data centers across many Asian countries. This could create more employment opportunities in local communities. In addition, it would help address data sovereignty issues by storing data locally.

A Comparison of AI Model Capabilities between the United States and China

Just like Switzerland, most Southeast Asian countries are neutral in the competition for Artificial General Intelligence (AGI) between the United States and China. These countries are uniquely situated to provide a fusion land between these hyperscalers and lead a third choice of sovereign AIs. 

As Asia’s emerging markets tap into the power of AI and information technology, the region is poised for remarkable growth and innovation. With governments pouring billions into development and companies harnessing AI to enhance efficiency and foster creativity, the outlook has never been brighter. By tackling challenges head-on and seizing opportunities, Asia stands to unlock trillions in economic potential, benefiting businesses and communities alike. The AI revolution is underway, and Asia is ready to take the lead.

About the authors: Bruno S. Sergi and Kevin Chen

Bruno S. Sergi is an instructor at Harvard University’s Sustainability and Global Development Practice Graduate Programs. He is also affiliated with the Harvard Center for International Development, the Davis Center for Russian and Eurasian Studies, and the Harvard University Asia Center. He has led the launch of multiple scholarly journals and book series, including the Cambridge Elements series at Cambridge University Press and Entrepreneurship and Global Economic Growth at Emerald Publishing.

Kevin Chen is the chief economist and CIO of Horizon Financial and Partner and CIO of CoinBridge, specializing in global macroeconomics, asset allocation, and digital assets (stablecoins, RWA tokenization). He is also an adjunct associate professor at NYU, and he serves on multiple Nasdaq and international corporate boards. He has held senior roles at Morgan Stanley and Amundi Asset Management. Dr. Chen holds a PhD in Finance from the University of Lausanne and is a Life Member of the Council on Foreign Relations.

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