New Listings: An AI Bond Fund Will Lend to Publicly Traded Companies, and Its List Includes OpenAI and Anthropic

A human hand and a black robotic hand reach towards each other, fingertips almost touching, against a burst of glowing teal particles.

A new bond fund says it invests in debt issued by “publicly-traded companies“. Two paragraphs later, it names OpenAI and Anthropic as eligible issuers.

Defiance AI Infrastructure Bond ETF (AIBN, NYSE Arca)

I recently described a fund that reaches OpenAI and Anthropic through swaps on perpetual futures, because there are no shares to buy. Defiance has found the other door. If you cannot own the equity, you can at least lend the company money.

The MarketVector US Hyperscalers and AI Bonds Index sorts its issuers into three groups. The four “Hyperscalers" are Amazon, Microsoft, Alphabet and Meta. The “Other Compute Infrastructure and Large Language Model Companies" are IBM, CoreWeave, Oracle, SpaceX, OpenAI and Anthropic. Everyone else comes from a semiconductor index, which requires new entrants to earn at least half their revenue from chips.

The weights are fixed with some precision. The hyperscalers receive 48% of the index between them, 12% each. The LLM and compute group may have up to 20%. Semiconductors receive at least 32%. Each bond needs at least $1 billion outstanding, and both investment-grade and high-yield bonds are welcome.

The prospectus is candid about what the investor gives up. The fund “does not participate in an issuer's equity appreciation". So, the most excitable corner of the stock market has been turned into a fixed coupon, with nearly half of it lent to four companies that already have more cash than most governments.

The eligibility list is aspirational for now. Private placements and Rule 144A bonds, where a private AI laboratory’s debt would most likely sit, are eligible but not currently included. The expense ratio is 0.39%.


Hartford High Yield ETF (HINC, Nasdaq)


Not every new ETF is new. This one is the Hartford High Yield Fund, a mutual fund, converted into an ETF with the same objective, the same Wellington sub-adviser and the same strategy.

It inherits a ten-year performance record from its predecessor, with one footnote: for most of that decade the fund “pursued a modified investment strategy", and its current portfolio manager arrived only when the strategy changed. At least 80% goes into high-yield bonds, up to 20% into bank loans, and the net expense ratio is 0.50%.

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Bernie Thurston

Bernie Thurston is the founder and CEO of Ultumus, a leading provider of ETF and index data, calculation, and workflow solutions. With over 20 years of experience in financial technology, Bernie has been at the forefront of index and ETF innovation since 2003.

His finance career began at Markit, where as Managing Director for Equities he designed and developed products for index and ETF composition and dividend forecasting from 2003 to 2011. He then founded and led DeltaOne Solutions as Managing Director, building it into a global provider of index and ETF trading data and technology services. The company managed over 100,000 multi-asset class products before being acquired by Markit in 2015.

Following the acquisition, while working for an ETF issuer, Bernie identified fundamental issues in how index and ETF data was represented across the industry. This led him to found Ultumus in 2016, building solutions for ETF primary market operations. Under his leadership, Ultumus has grown into a market leader serving major financial institutions globally, with its ETF Order Management System (OMS) supporting create and redeem workflows worldwide and its PCF platform calculating and distributing portfolio composition files for ETF issuers across every major market.

Bernie sold Ultumus to SIX Group in 2021, where it continues to expand across Europe, North America, and Asia-Pacific. Known for building lasting teams and leveraging cutting-edge technology, Bernie is focused on establishing Ultumus as the backbone of the global index and ETF industry through standardisation and automation.

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