Heechan Jeong
Attorney | Privacy, Data Governance & AI | Founder of LAWVOT
June 12, 2026
Artificial Intelligence is often described as the defining technology of the twenty-first century. Its potential to transform economies, improve public services, accelerate scientific discovery, and enhance productivity is unprecedented. Yet alongside these opportunities lies a growing concern: the benefits of AI may not be distributed equally among nations.
Throughout history, technological revolutions have generated enormous wealth, but they have rarely benefited all countries in the same way. The Industrial Revolution concentrated economic power in countries that possessed capital, technology, and manufacturing capacity. The digital revolution similarly favored nations that successfully built information and communication technology ecosystems. Today, the AI revolution risks creating a new form of inequality, one driven not only by access to technology, but also by control over data.
Data has become one of the most valuable strategic assets of the modern economy. Every day, billions of people generate data through online activities, digital services, mobile devices, financial transactions, healthcare systems, and public services. This data fuels the development of AI systems, enabling companies to train increasingly powerful models capable of generating significant economic value.
However, a fundamental imbalance exists within the global AI ecosystem. Data is generated everywhere, but the infrastructure, computing power, advanced models, and economic returns associated with AI are concentrated in a relatively small number of countries and corporations. As a result, many nations contribute valuable data resources while receiving only a limited share of the economic and technological benefits created from them.
This challenge is particularly relevant for developing countries. As AI systems become increasingly important to economic competitiveness, countries that lack advanced computing infrastructure, domestic AI industries, and technical expertise may find themselves primarily serving as providers of raw data while remaining consumers of foreign AI technologies. Such a trajectory risks creating a new form of dependency in which value is extracted from local populations but accumulated elsewhere.
The solution, however, is not technological isolation or digital protectionism. Restricting all cross-border data flows would likely hinder innovation, reduce opportunities for collaboration, and slow the development of beneficial AI applications. Artificial intelligence thrives on knowledge exchange, global cooperation, and diverse data sources. Excessive restrictions could ultimately harm the very countries seeking to protect their interests.
Instead, governments should focus on strengthening their ability to negotiate, govern, and benefit from participation in the global AI economy. Countries should recognize that data generated by their citizens represents an important national asset and should seek arrangements that ensure fair and meaningful returns from its use. These returns need not be limited to direct financial compensation. They may include technology transfer, local investment, workforce development, research partnerships, infrastructure support, knowledge sharing, and capacity-building initiatives.
The concept of data governance should therefore evolve beyond privacy protection alone. While safeguarding individual rights remains essential, governments must also consider broader questions of economic development and national competitiveness. How can countries ensure that AI systems trained on local data contribute to local prosperity? How can governments encourage innovation while maintaining public trust? How can developing economies avoid becoming passive participants in an AI-driven world?
A balanced framework is needed—one that protects privacy, promotes responsible AI, encourages innovation, and ensures equitable distribution of benefits. Such a framework would allow countries to collaborate with global technology companies while maintaining sufficient leverage to advance national development objectives. Rather than viewing data solely as a commodity to be extracted, governments should view it as a strategic resource that can be leveraged to improve public services, strengthen institutions, and create economic opportunities for their citizens.
International organizations, governments, academia, and the private sector all have a role to play in shaping this future. The objective should not be to divide the world into competing digital blocs, but to create a more inclusive AI ecosystem in which technological progress contributes to shared prosperity. The success of the AI era should be measured not only by the sophistication of algorithms or the market value of technology companies, but also by the extent to which its benefits reach people across all nations.
The central challenge of the AI age is therefore not simply the development of more powerful systems. It is ensuring that the immense value generated by artificial intelligence is distributed fairly and contributes to sustainable development worldwide. If data is the fuel of the AI economy, then every nation that helps generate that fuel should have the opportunity to share in the progress it makes possible.
The future of global development may depend on whether the world can move beyond a model of data extraction toward a model of partnership, participation, and shared benefit. Only then can artificial intelligence become a force not for greater inequality, but for greater opportunity.