A structural break in economic history

At rare moments in history, a technology emerges that does more than improve productivity. It reshapes the foundations of economic organization, redistributes power, and redefines the terms of international exchange.

The steam engine enabled industrial production. The telegraph compressed distance and accelerated coordination. The internet connected the world into a single digital marketplace.

Artificial intelligence now stands at the threshold of a similar transformation.

What distinguishes this moment is not simply the pace of innovation, but its nature. AI is not merely a tool. It is becoming a general-purpose intelligence infrastructure, capable of reasoning, designing, predicting, and generating knowledge at scale. As such, it has the potential to influence every sector of the economy and every dimension of governance.

This marks a structural break. For the first time in modern economic history, intelligence itself, once the exclusive domain of human capability, is becoming a scalable, tradable, and strategically deployable resource.

The implications for global trade are profound.

From goods to knowledge to intelligence

The modern trading system was built on the exchange of goods. Over time, it expanded to include services, capital, and intellectual property. Each stage reflected a shift in where economic value was created.

Today, that center of gravity is shifting again.

Increasingly, the most valuable cross-border flows are not physical goods, but data, software, algorithms, and digitally delivered expertise. These intangible assets already underpin global production networks and service delivery.

AI represents the next step in this evolution.

Where the digital economy enabled the movement of information, the intelligence economy enables the generation and application of knowledge itself. AI systems can analyze markets, design products, optimize logistics, and support decision-making across industries.

In this sense, AI does not simply participate in trade. It reshapes what is being traded.

The central question for policymakers is therefore no longer limited to market access or tariff levels. It is far more fundamental: who will build, control, and benefit from the global infrastructure of intelligence?

Infrastructure and the logic of power

Economic leadership has historically depended on control of critical infrastructure.

In the 19th century, maritime routes and industrial capacity defined global power. In the 20th century, energy systems, financial institutions, and multinational corporations became central. After the Second World War, the United States helped construct a rules-based trading system through the GATT and later the World Trade Organization that facilitated unprecedented economic integration.

That system delivered decades of growth and rising prosperity. Today, however, it is increasingly strained by geopolitical rivalry, fragmented governance, and the erosion of multilateral consensus.

At the same time, a new layer of infrastructure is emerging.

AI systems, trained on vast datasets, powered by advanced semiconductors, and deployed through global cloud networks, are becoming foundational to economic activity. Like electricity or telecommunications before them, they enable entire classes of production and coordination that were previously impossible.

But unlike earlier infrastructures, the inputs required to build frontier AI systems are highly concentrated. Access to cutting-edge chips, large-scale computing capacity, and elite research talent is limited to a small number of countries and firms.

The result is a new structural reality: the production of intelligence is not evenly distributed.

The emerging geography of intelligence

The global AI landscape is already revealing distinct patterns of capability and influence.

The United States leads in frontier model development, venture capital, and cloud infrastructure. China represents the most significant challenger, combining state support with rapidly advancing industrial capabilities. The European Union has established itself as a regulatory force, shaping global norms on data, competition, and AI governance.

Beyond these centers, other economies play critical roles. Japan and South Korea are central to advanced electronics and semiconductor supply chains. The Netherlands provides essential lithography technologies. Taiwan remains indispensable in chip fabrication.

Most countries, however, are positioned primarily as adopters, integrating AI into their economies without controlling the underlying systems.

This evolving landscape suggests a stratification of roles: producers, orchestrators, and adopters. While these roles may shift over time, the current trajectory points toward a world in which a relatively small number of actors control the foundational layers of the intelligence economy.

For many countries, the risk is not exclusion from trade but dependence within it.

Trade policy at a turning point

The rise of AI is transforming the agenda of international trade policy.

Traditional trade frameworks were designed for a world of goods and clearly defined services. Even as digital trade emerged, agreements largely focused on facilitating data flows and protecting intellectual property.

The intelligence economy introduces a more complex set of challenges: cross-border data governance, access to computing infrastructure, export controls on advanced technologies, digital taxation, and standards for algorithmic accountability.

These are no longer peripheral issues. They are becoming central to economic competitiveness, national security, and technological sovereignty.

Trade policy is therefore evolving from a mechanism of market access into an instrument for shaping the architecture of the digital and intelligence economy.

The difficulty lies in balancing openness with security, innovation with regulation, and national interests with global cooperation. The answers will define whether the next phase of global trade is characterized by integration or fragmentation.

Reconfiguring global trade patterns

AI is likely to reshape global trade in several important ways.

Digitally delivered services will expand dramatically, allowing expertise to move across borders at scale. The value embedded in physical goods will increasingly derive from software and intelligence. Access to computing power and advanced semiconductors will become a strategic determinant of economic development, much as energy once was.

At the same time, regulatory environments will influence where firms choose to invest and deploy AI technologies. Countries that provide clarity, stability, and trust will have a competitive advantage.

Perhaps most significantly, the concentration of AI capabilities raises questions of resilience and autonomy. Governments may seek to reduce dependence on foreign intelligence systems, potentially reshaping supply chains not only for goods, but for intelligence itself.

Global trade may thus be entering a new phase, one defined not only by the movement of products, but by the distribution of cognitive capacity.

Governance, responsibility, and shared prosperity

Beyond economics lies a deeper consideration.

AI has the potential to transform human welfare, accelerating medical discovery, expanding educational access, improving energy efficiency, and enhancing productivity across industries.

Yet its concentration also raises fundamental questions. Who determines how AI systems are trained and deployed? Whose data is used, and who benefits? How can transparency and accountability be maintained in systems of increasing complexity?

These are not purely technical issues. They are questions of governance and political economy.

International trade has long been a mechanism for sharing knowledge and expanding opportunity. In the intelligence economy, that role becomes even more important.

The imperative for cooperation

The transition to an intelligence-driven global economy will not be managed by markets alone.

It will require sustained cooperation between governments, businesses, and institutions to establish rules, standards, and norms that ensure both innovation and inclusion.

This includes investment in digital and human capital, frameworks for trusted data sharing, alignment on AI governance principles, and mechanisms to support participation by developing economies.

Without such efforts, the intelligence economy risks deepening global inequalities and intensifying geopolitical tensions. With them, it has the potential to deliver unprecedented gains in productivity and human well-being.

A defining moment

The global trading system is entering a new era.

The most valuable assets in the world economy are no longer confined to physical goods or traditional intellectual property. They are increasingly embodied in systems that generate, process, and apply intelligence at scale.

The question facing policymakers is not whether this transformation will occur, but how it will be governed.

The institutions that shaped global trade in the 20th century must now adapt to a reality in which intelligence itself is a strategic resource.

If managed wisely, this transformation could expand prosperity and opportunity on a global scale. If mismanaged, it could entrench divisions and concentrate power in unprecedented ways.

The future of global trade will be determined not only by what nations produce, but by who controls the systems that shape how the world thinks, decides, and creates.