The AI financing wave is reshaping U.S. investment-grade credit indices

Overview

The report analyzes how AI capital expenditure and data center construction are changing the U.S. investment-grade credit market through large-scale debt issuance by hyperscalers. The issuance wave has significantly weighed on the performance of related bonds, especially at the long end, and has rapidly increased investment-grade index exposure to a small number of technology issuers. Although supply pressure is likely to persist, the report believes issuers' leverage, liquidity, and diversified financing capabilities remain adequate; therefore, it maintains a market-weight stance and is prepared to tactically add exposure during weakness driven by issuance or equity markets.

Core views

The credit market is splitting into two parts: hyperscalers and other issuers. The former have significantly underperformed due to continued upward revisions to capital expenditure, downward revisions to future free cash flow expectations, and concentrated issuance of long-duration bonds; the latter's investment-grade spreads have still tightened slightly overall year-to-date. Weak long-end performance is more a maturity and concentration issue caused by specific AI financing supply, rather than a broad curve steepening across the entire investment-grade market. Short- to medium-term fundamentals remain intact, but potential issuance, rising U.S. real rates, and market volatility may continue to weigh on sentiment.

Analysis framework

The report combines issuance size and maturity distribution, index and maturity-bucket weights, year-to-date changes in credit spreads, free cash flow and capital expenditure trends, primary issuance concessions, and secondary-market performance to conduct relative value analysis, and assesses changes in the index structure by the end of 2027 under a scenario of an additional $250 billion in net issuance.

Methodology notes

• Credit relative valueComparison between hyperscalers and other non-financial issuers

  Split investment-grade non-financial credit into hyperscalers and other issuers excluding this group.

  By comparing year-to-date spread changes and quarterly performance for the two groups of bonds, the report identifies whether the supply shock is a market-wide phenomenon. The results show hyperscaler spreads have widened by 32 basis points year-to-date, while other non-financial investment-grade bonds have tightened by 1 basis point.

• Term structureCredit curve and maturity-bucket analysis

  Compare issuance supply, investment demand, and spread performance across the short end, belly, and long end.

  Long-end weakness is mainly concentrated in hyperscaler bonds; excluding this group, the overall investment-grade curve remains relatively flat. Although belly net supply is near record highs, spreads have still tightened, reflecting strong demand for intermediate-duration bonds.

• Index compositionBenchmark concentration analysis

  Assess the weights of a small number of large technology issuers in the investment-grade index and 30-year bonds.

  Hyperscalers already account for about 4.3% of the overall investment-grade index and about 21% of 30-year investment-grade bonds; AMZN and META each account for more than 5% of long-end bonds, showing that the implied concentration for long-duration investors is far higher than the overall sector weight.

• Scenario analysisNet issuance growth scenario

  Estimate the impact of additional hyperscaler debt on index weights, assuming the net issuance pattern of other sectors remains broadly unchanged.

  If this group adds about another $250 billion in net issuance, technology and hyperscaler debt could approach 11% of the index by the end of 2027 and may surpass the utilities sector.

• Fundamental analysisAssessment of capital expenditure, free cash flow, and financing capacity

  Assess the impact of AI capital expenditure on leverage, free cash flow, and credit quality.

  Rising capital expenditure lowers expectations for future free cash flow, but most issuers currently still have low leverage, ample liquidity, and can raise funds through debt, equity, off-balance-sheet leases, project financing, and private credit, so near-term rating pressure is limited.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• U.S. investment-grade hyperscaler bonds

  Market weight

  Strengths

  Issuers have relatively low leverage, ample liquidity, and diversified financing channels including debt, equity, leases, project financing, and private credit.

  Weaknesses

  AI capital expenditure continues to push up financing needs and lower free cash flow expectations, while recent large transactions have required higher issuance concessions and secondary performance has been weak.

  Comparison

  Have significantly underperformed non-financial investment-grade bonds excluding hyperscalers year-to-date.

  Risks

  Increased potential issuance, rising real rates, weakening marginal long-end demand, and AI revenue realization slower than expected.

• 1- to 7-year non-hyperscaler investment-grade bonds

  Overweight

  Strengths

  Demand for short- and intermediate-duration bonds is strong, and spreads have still tightened year-to-date even with belly net supply near record levels.

  Weaknesses

  A rebound in M&A financing may increase subsequent supply, and overall valuations are not broadly cheap.

  Comparison

  Compared with hyperscaler bonds, the supply shock is smaller and year-to-date performance is stronger.

  Risks

  Macro volatility, rising rates, M&A-related issuance, and deterioration in overall investment-grade market risk appetite.

• Long-end hyperscaler bonds

  Prefer 10-year versus 30-year curve-flattening trades

  Strengths

  Long-end valuations have become meaningfully cheap, and issuers may reduce further pressure on the 30-year market due to weakening demand.

  Weaknesses

  Current index concentration is high, marginal buyers are becoming increasingly selective, and long-duration rate volatility further weakens demand.

  Comparison

  Compared with the short and intermediate ends, long-end spread widening and supply absorption pressure are the most pronounced.

  Risks

  If issuers continue to concentrate issuance in 30-year bonds, the curve may steepen further.

• Technology and hyperscaler index exposure

  Rising concentration

  Strengths

  The underlying issuers are mostly highly rated companies with large cash-flow scale and strong capital-market financing capacity.

  Weaknesses

  The weights of a small number of issuers are rising rapidly, reducing benchmark diversification and squeezing some investors' issuer limits.

  Comparison

  Their overall index weight is already close to the healthcare sector and trails only large non-financial sectors such as utilities.

  Risks

  If additional net issuance reaches about $250 billion, the related weight could rise to about 11% by the end of 2027 and exceed the utilities sector.

Key data

• Year-to-date change in hyperscaler spreads+32 basis pointsIncludes MSFT, AMZN, META, GOOGL, ORCL, NVDA, and SPCX.
• Year-to-date change in other non-financial investment-grade bond spreads-1 basis pointAfter excluding hyperscalers, spreads have tightened slightly.
• Hyperscalers' weight in the investment-grade indexAbout 4.3%Nearly doubled since the end of 2024.
• Hyperscalers' weight in 30-year investment-grade bondsAbout 21%Concentration is most pronounced at the long end.
• Combined long-end weight of hyperscalers and technology, media, and telecomClose to 50%Accounts for about half of all 30-year bonds in the index.
• Hyperscalers' share of 30-year issuanceClose to 40%Significantly higher than about 20% for 7- to 10-year maturities and about 9% to 13% for other maturity buckets.
• Alphabet new-issue pricing concession12 to 15 basis points cheaper than its outstanding curveEven with an orderbook of nearly 4 times, a wider concession still had to be offered.
• Potential additional net issuanceAbout $250 billionUnder the scenario assumption, technology and hyperscaler debt could rise to about 11% of the index by the end of 2027.

Impact & implications

AI infrastructure financing is turning a group of technology companies with previously among the strongest balance sheets into a major source of supply in the investment-grade bond market. For long-duration investors such as pension funds and life insurers, the main issue is not imminent default risk, but benchmark concentration, issuer limits, and long-end supply-demand imbalances. In allocation, investors should distinguish between hyperscalers and other investment-grade bonds: prefer 1- to 7-year non-hyperscaler bonds, remain neutral on hyperscaler short- and intermediate-end bonds, and use curve dislocations caused by long-end supply to seek flattening opportunities.

Risks

• Hyperscalers continue to raise capital expenditure and increase bond issuance, prolonging supply absorption pressure.
• U.S. real rates continue to rise or rate volatility intensifies, further weakening demand for long-duration bonds.
• AI revenue growth is slower than expected, calling into question returns on capital and free cash flow conversion.
• Long-duration investors such as pension funds and life insurers reach issuer or sector concentration limits.
• Issuance spreads from the long end to the short and intermediate ends, putting pressure on the currently more resilient performance of 1- to 7-year maturities.
• M&A-related financing increases, expanding investment-grade bond supply outside hyperscalers.
• Credit ratings have not yet come under significant pressure, but depreciation burdens and pressure on returns on capital may gradually emerge over a longer period.

What to watch

• Potential large hyperscaler debt issuance arrangements through September and the scale of new-issue concessions.
• Changes in the maturity distribution of future issuance across 30-year, 7- to 10-year, and short-end maturities.
• AI-related revenue growth, capital expenditure guidance, and free cash flow conversion rates.
• U.S. real rates, rate volatility, and demand from long-duration institutional investors.
• Changes in hyperscalers' weights in the investment-grade index and the 30-year maturity bucket.
• Credit spread differentiation among different issuers due to differences in capital allocation discipline and free cash flow.
• Whether weakness in issuance or equity markets creates tactical opportunities to add exposure.