A senior Indian finance official has flagged a new concern for the global economy: the massive surge in artificial intelligence investment could be contributing to rising bond yields worldwide, putting pressure on emerging markets that borrow in international markets.
The rapid build-out of artificial intelligence infrastructure — data centers, chips, power systems, and the vast capital spending that comes with it — is drawing trillions of dollars of investment globally. Now, some policymakers worry that this spending boom could have an unintended side effect: pushing up long-term interest rates across global bond markets.
Anuradha Thakur, secretary at India’s Department of Economic Affairs, raised this concern at an international forum, pointing to AI-driven capital demand as a potential factor lifting global bond yields. The worry is that when large economies, particularly the United States, absorb enormous amounts of capital for technology investment, the increased demand for funds can push up borrowing costs not just at home but around the world.
Higher global bond yields are a particular concern for emerging markets. These countries often borrow in foreign currencies — especially U.S. dollars — and when yields rise globally, their debt becomes more expensive to service. A stronger dollar, which often accompanies rising U.S. yields, compounds the problem by making dollar-denominated debt harder to repay in local currency terms.
The mechanism is relatively straightforward: large-scale investment demand in advanced economies competes for the same pool of global savings. If AI spending keeps growing at its current pace, some economists argue it could keep upward pressure on so-called neutral interest rates — the underlying rate that keeps an economy in balance — making it harder for central banks everywhere to bring borrowing costs down.
This concern adds a new dimension to the debate over why long-term bond yields in major economies have remained elevated even as central banks have begun cutting short-term rates. While fiscal deficits and inflation expectations have received most of the attention, the structural demand for capital from the AI sector is emerging as an additional factor worth watching.
For emerging market governments and companies that rely on international capital markets, the stakes are real. A sustained period of high global yields could slow growth, strain budgets, and widen the gap between richer and poorer economies’ borrowing costs.
How central banks and finance ministries in emerging markets respond to persistently high global yields — and whether the AI investment cycle moderates — will be a key story to follow in the months ahead.
