Key facts
- AI-related corporate bond issuers are demanding higher concessions due to a flood of new debt.
- Traditional issuers like financial and industrial firms are experiencing strong demand for their bonds.
- Gross debt issuance from hyperscalers is projected to reach $420 billion next year, a 60% increase.
- AI-related issuers' bond spreads are around 115 basis points, wider than the 78 basis points for the broader investment grade market.
- Investors are seeking opportunities outside the AI sector, preferring scarcer bonds.
- Concentration risk is a growing concern as investors aggregate debt from AI companies and related financing vehicles.
The market for highly rated corporate credit has bifurcated, with bonds from AI-related companies facing investor caution due to the sheer volume and unpredictability of borrowing needs, while debt from traditional issuers like financial and industrial firms attracts strong demand. Portfolio managers are demanding generous concessions and re-evaluating concentration limits for AI-linked companies, even though defaults are not a primary concern.
Goldman Sachs data indicates that gross debt issuance from hyperscalers is expected to reach a record $420 billion next year, a 60% increase from 2026 estimates. In contrast, overall US corporate issuance through August had risen 30% year-on-year to $1.9 trillion, according to the Securities Industry and Financial Markets Association. Colby Stilson, head of fixed income at Brown Advisory, stated that investment conviction needs to be very high for hyperscaler debt due to upcoming supply and lack of visibility into return on invested capital.
Outside the AI sector, corporate bond spreads remain near historically tight levels, with new deals often heavily oversubscribed. Loren Moran, fixed income portfolio manager at Wellington Management, highlighted recent pharmaceutical and insurance acquisition financings that saw strong demand with minimal pricing concessions, as buyers sought opportunities away from the AI boom. She noted that investors still have cash to deploy but increasingly prefer to do so outside the AI investment surge.
This divergence was evident in recent bond sales. Alphabet, Google's parent company, had to offer a significant concession to complete its August debt sale, according to a BNY research note. In contrast, insurance broker Aon's $13.5 billion acquisition financing this month attracted $65 billion in orders, leading to a 35 basis point tightening on its 30-year tranche, signaling investor appetite for scarcer bonds. For AI-related borrowers, including data-center operators and chip companies, spreads have widened due to a continuous stream of supply. Goldman Sachs data shows AI-related issuers' spreads at around 115 basis points, compared to 78 basis points for the broader investment grade market, according to ICE BofA data. Lon Erickson, portfolio manager at Thornburg Investment Management, noted that bonds from major AI spenders like Meta Platforms and Alphabet consistently trade wider than similarly rated peers, despite their strong balance sheets and cash generation, reflecting expectations of continued capital expenditure.
AI issuers are compelled to offer concessions, with some double-A credits pricing closer to triple-B spread levels, according to Russell Brownback, deputy chief investment officer for global fixed income at BlackRock. Concentration risk is also a significant factor, as some institutional investors are approaching single-name exposure limits when aggregating debt from AI companies and their related financing vehicles, as noted by Moran. Erickson added that investors want flexibility should AI enthusiasm wane, preferring to keep capital available for future purchases if spreads widen further. Some hyperscaler transactions have seen lower demand than expected from marquee issuers, with several deals trading poorly post-pricing, according to Nick Elfner, co-head of research at Breckinridge Capital Advisors. Surprise issuance shortly after previous sales, often at wider spreads, can erode confidence and increase future borrowing costs.
BlackRock's Brownback attributes the widening in AI-related spreads to supply-and-demand dynamics rather than concerns about credit quality, viewing the trade-off as attractive for both issuers and investors. Companies are willing to fund themselves at wider spreads, believing AI investments will yield returns exceeding borrowing costs, while bond investors receive compensation typically associated with lower-rated issuers despite lending to highly rated companies. For now, the bond market signals growing selectivity rather than fear of AI borrowers, with many investors seeking alternatives to hyperscaler debt.