America's capital crunch: Soaring debt collides with AI spending spree

U.S. National Debt Exceeds $40 Trillion as AI-Related Capital Spending Rises

The United States faces simultaneous demands on capital markets from federal borrowing requirements and private investment in technology infrastructure. One set of obligations stems from accumulated federal deficits. The other arises from corporate plans to expand data centers and related systems for artificial intelligence applications. These pressures coincide as the next presidential term begins.

President Trump stated in 2016 that the national debt, then approximately $19 trillion, could be eliminated within eight years. On August 19, 2026, the total debt surpassed $40 trillion, having increased by $3 trillion over the preceding twelve months. Of this amount, roughly $32 trillion is held by outside investors and other non-governmental entities. The remaining portion consists of intragovernmental obligations, including amounts owed to the Social Security trust fund and other federal accounts.

The Treasury Department is scheduled to refinance $9.7 trillion in maturing securities during the current fiscal year while financing a deficit projected by the Congressional Budget Office at approximately $2.1 trillion. This refinancing process replaces lower-cost debt with higher-cost obligations as interest rates have risen, which in turn contributes to subsequent deficits. The Congressional Budget Office forecasts that annual deficits will average $2.4 trillion through 2036, resulting in debt held by the public reaching 120 percent of gross domestic product, a level above the previous peak recorded after World War II.

Federal interest payments totaled $963 billion in the first ten months of the fiscal year, exceeding military outlays by $200 billion during the same period. Long-term Treasury yields have reached their highest levels since 2007, increasing borrowing costs for mortgages, corporate loans, and new federal debt issuance.

Social Security’s retirement trust fund is projected to be depleted in late 2032. Medicare’s hospital insurance trust fund is projected to be depleted in the second quarter of 2033.

Corporate spending on artificial intelligence infrastructure has shifted from primarily cash-financed projects to greater use of debt markets. Bond issuance by major technology companies building data centers and related facilities is on pace to approximately double in 2026. Goldman Sachs estimates that debt will finance more than one-third of such spending by 2027. Nvidia has partnered with BlackRock, Goldman Sachs, KKR, and additional financial institutions to assemble more than $500 billion for AI infrastructure projects.

Nine large technology companies have recorded capital expenditures of roughly $600 billion over the past year. A Wall Street Journal review identified an additional $3 trillion in future commitments, predominantly related to AI development, that do not yet appear on corporate balance sheets.

The Trump administration and Elon Musk established the Department of Government Efficiency with a target of reducing federal spending by up to $2 trillion. The final reported savings totaled $215 billion. A federal audit issued this month identified billions of dollars in unsupported or inaccurate savings figures, including $27.4 billion associated with contracts that remained active.

Policy positions on both sides of the political spectrum have limited options for addressing the fiscal trajectory. Proposals associated with democratic socialism and economic populism include expanded public programs for housing, health care, and child care financed in part by higher taxes on higher-income households. Republican positions have maintained existing benefit levels for Social Security and Medicare while supporting tax reductions and increased defense spending, including a proposed Pentagon budget of $1.5 trillion.

Data from the Congressional Budget Office and Treasury Department form the basis for the deficit and debt projections cited above. Corporate expenditure figures derive from company filings and the referenced Wall Street Journal analysis.