U.S. Treasury yields retreated sharply on Wednesday from multi-year highs after the Treasury Department announced plans to double the size of its government debt buybacks, providing support to longer-dated bonds following a global selloff driven by concerns over rising public debt, inflation and higher borrowing costs.

The 30-year Treasury yield fell nearly 9 basis points to 5.196%, while the benchmark 10-year yield declined about 6 basis points to 4.647%. The 30-year yield had climbed above 5.33% earlier this week, reaching its highest level in nearly two decades.

The reversal was concentrated at the long end of the yield curve, where investors have been demanding higher compensation to hold government debt amid concerns about the U.S. fiscal outlook and the risk that persistent inflation could keep interest rates elevated for longer.

The Treasury said it would increase the size of its buyback operations, a move designed in part to improve liquidity and market functioning in longer-dated securities.

The announcement helped ease some of the pressure on long-term bonds, but it does not reduce the amount of U.S. government debt outstanding.

“I’m assuming this supply will be replaced by more issuance on the shorter end, particularly bills. This is NOT a debt paydown, it is just a rearrangement of the maturity schedule of Treasuries,” said Peter Boockvar, chief investment officer at One Point BFG Wealth Partners.

Treasury buybacks can improve liquidity by purchasing older or less actively traded securities and can support prices in targeted parts of the market. But they do not eliminate the underlying fiscal challenge facing the U.S. government.

The U.S. fiscal deficit reached $432.3 billion in July, the largest monthly shortfall since March 2021, pushing the cumulative deficit for the year to almost $1.8 trillion. The cost of servicing the debt has also become a growing burden. Interest payments on the nearly $40 trillion national debt have reached about $1.2 trillion this year, increasing pressure on the federal budget as borrowing costs remain elevated.

The latest move in Treasury yields also comes amid a broader global bond selloff.

Japan’s 10-year government bond yield reached its highest level in three decades, while Germany’s 30-year Bund yield climbed to its highest since 2011. France’s 30-year borrowing cost reached its highest level since 2008.

The synchronized rise in long-term yields points to a broader reassessment by investors of sovereign debt risks rather than a problem confined to the United States.

Higher oil prices are adding another layer of uncertainty. Rising energy costs could feed into consumer inflation and make it more difficult for central banks to ease monetary policy. That prospect has encouraged investors to demand higher yields on longer-term bonds to compensate for the risk of persistent inflation.

The U.S. Federal Reserve’s policy outlook will receive additional attention later Wednesday with the release of minutes from its latest Federal Open Market Committee meeting.

The minutes are of the essence because the July meeting exposed unusually strong disagreement among policymakers. Three officials voted for a 25-basis-point rate increase, while the majority opted to keep rates unchanged. Investors will look for clues about the arguments behind those dissenting votes and whether concerns about inflation could prevent the Fed from cutting rates in the months ahead.

The combination of elevated inflation risk, heavy government borrowing and uncertainty over monetary policy has created a challenging environment for the Treasury market. Long-term yields matter well beyond government bonds because they influence corporate borrowing costs, mortgage rates and the valuation of equities.

Therefore, analysts see Wednesday’s retreat as marking a reprieve rather than a resolution. Treasury buybacks can provide additional liquidity and help stabilize longer-dated securities, but they do not address the underlying forces that pushed yields higher in the first place.

With the U.S. running large fiscal deficits, debt-servicing costs rising and energy prices threatening to reignite inflation, investors are expected to continue scrutinizing the government’s borrowing needs and the Fed’s willingness to tolerate higher inflation.

Anthropic is preparing to expand its borrowing capacity beyond a targeted $10 billion, adding another layer of financing to the artificial intelligence boom as the Claude maker lays the groundwork for a potential blockbuster initial public offering.

The company is in discussions with banks over a revolving credit facility that could exceed its original $10 billion target, according to people familiar with the matter cited by Bloomberg. The final size has not been determined and could still remain at $10 billion or be reduced, the sources said.

The move would give Anthropic access to a substantial pool of capital that it could draw, repay, and borrow again as needed, providing liquidity as it continues to spend heavily on computing infrastructure, model development, and other costs associated with scaling its AI business.

The financing discussions also carry significance for Wall Street banks. Lenders seeking a place in Anthropic’s expanded credit facility could improve their prospects of securing roles in what could become one of the largest technology IPOs in years. Morgan Stanley, Goldman Sachs and JPMorgan are reportedly working with Anthropic on the planned listing, while the company has recently held discussions with prospective investors.

Anthropic previously secured a $2.5 billion five-year revolving credit facility from a group of lenders including Morgan Stanley, Barclays, Citigroup, Goldman Sachs, JPMorgan, Royal Bank of Canada and Mitsubishi UFJ Financial Group. Expanding that facility would substantially increase the company’s financial flexibility ahead of a potential public offering.

Anthropic is entering the public markets at a point when investors are paying closer attention to how AI companies finance their extraordinary growth. Unlike more mature software companies, leading AI developers require enormous amounts of computing capacity, much of it backed by expensive Nvidia processors and data-center infrastructure.

A larger credit facility could therefore serve as a bridge between Anthropic’s current private-market funding model and the deeper capital markets available after an IPO. It could also provide the company with additional liquidity without requiring it to immediately issue more equity.

There is precedent for the strategy. SpaceX expanded its credit facility with several banks involved in its planned IPO roughly a month before its June public offering. Such arrangements can strengthen relationships between companies and investment banks at a critical stage of the IPO process.

The broader financing environment shows why Anthropic’s borrowing needs are becoming increasingly significant. JPMorgan estimates AI-related debt financing could reach $4.1 trillion through 2030, up from its previous forecast, as hyperscalers, data-center operators and chip buyers seek to finance the infrastructure required to support AI workloads.

AI-related debt issuance has already surpassed $300 billion in 2026, according to the bank, making data-center financing one of the most important sources of new corporate borrowing this year.

JPMorgan also expects AI capital expenditure to reach $5.5 trillion through 2030, up from its previous estimate of $5.1 trillion. The revised forecast is based partly on expectations that global data-center capacity will expand by 138 gigawatts by the end of the decade, compared with an earlier estimate of 122 gigawatts.

That spending boom is forcing companies across the AI ecosystem to look beyond traditional equity financing. Developers are increasingly using structures such as behind-the-meter power agreements, bring-your-own-power arrangements and more efficient computing systems to overcome constraints on electricity and infrastructure.

For Anthropic, the challenge is more than simply securing enough money to fund growth. The company must convince prospective public-market investors that the revenue generated by its AI models will eventually grow faster than the enormous cost of computing, training, and inference.

That makes the proposed credit facility an important signal of the capital intensity behind the AI race. A multibillion-dollar borrowing capacity would give Anthropic greater room to invest before an IPO, but it would also increase the financial obligations attached to a business whose long-term profitability is still being established.

The potential facility therefore indicates that in the AI industry, the race to build powerful models is becoming not only a technology competition but also a massive financing exercise. That is why banks, private credit investors and public-market investors are increasingly being asked to fund the infrastructure required to sustain it.