Central bankers meeting in Bangkok are warning that the global artificial-intelligence investment boom may keep interest rates higher for longer by creating a powerful new demand for capital before the promised productivity gains fully arrive. The discussion marks a major shift from the low-rate environment that dominated much of the period after the 2008 financial crisis.
AI is creating a new capital-demand shock
Data centers, semiconductor factories, power generation and transmission networks all require enormous upfront investment. Companies are borrowing heavily to build that infrastructure.
When demand for capital rises faster than available savings, borrowing costs can increase across the economy.
Productivity gains may take time
AI advocates expect the technology to boost productivity, reduce costs and create new products. But those benefits may take years to become visible in economy-wide data.
Central bankers are therefore confronting a period in which investment demand rises immediately while the supply-side benefits arrive later.
Higher neutral rates are becoming a serious possibility
Policymakers use the concept of a neutral interest rate, often called R-star, to describe the rate that neither stimulates nor restrains the economy.
If structural investment demand remains high, that neutral rate may be higher than it was during the post-crisis era.
The Federal Reserve is watching demand pressure
Federal Reserve Chair Kevin Warsh has described AI as a significant demand-side shock as well as a potential productivity revolution.
That dual effect complicates monetary policy because stronger investment can support growth while also adding inflation pressure.
Other central banks face similar choices
The Bank of Japan and European Central Bank have already moved rates higher, while the Federal Reserve and Bank of England are under pressure to keep policy tight.
High energy prices and fiscal deficits are adding to the challenge.
Governments are competing with companies for capital
Many governments are issuing large amounts of debt at the same time technology companies are financing massive AI projects.
That competition can push bond yields higher and increase debt-service costs for public budgets.
Highly indebted countries are most vulnerable
Countries with large fiscal deficits face a difficult tradeoff. Higher rates increase borrowing costs, leaving less money for infrastructure, welfare and defence.
France and other heavily indebted eurozone economies are being watched closely by investors.
AI financing risk is already visible in markets
Shares and bonds of highly leveraged data-center companies have come under pressure as investors question whether future AI revenue will justify current investment.
That volatility shows how quickly financing conditions can tighten when confidence weakens.
A reversal in AI enthusiasm could create another problem
If investment slows sharply, companies that borrowed heavily could face refinancing stress. Banks and private-credit funds exposed to the sector would then become part of the financial-stability debate.
Central banks are therefore concerned about both excessive investment and a sudden pullback.
The era of cheap money may be over
For more than a decade, companies and governments became accustomed to very low borrowing costs. The AI boom is one of several forces challenging that environment.
Defence spending, energy transition and supply-chain restructuring are also increasing demand for long-term capital.
Policy will depend on whether AI really raises productivity
If AI eventually produces large productivity gains, economies may be able to grow faster without generating inflation.
If the gains disappoint, high investment could leave behind excess capacity, debt and financial losses.
Bangkok debate highlights a structural shift
The key message from central bankers is that AI is no longer only a technology-sector story. It is beginning to affect interest rates, bond markets, fiscal policy and the cost of capital across the global economy.
That means investors and governments may have to plan for a world in which borrowing costs remain structurally higher than they were in the 2010s.
Sources
- Reuters, Oct. 16, 2026
- IMF and World Bank annual-meeting discussions in Bangkok
