EquiLend

Insight

January 2026

The Purple Issue 21

2025: The Year AI Reshaped the Lending Landscape

2025 was a defining year for AI-linked equities. Markets aggressively rewarded companies positioned across the entire value chain, from compute infrastructure and semiconductors to enterprise services and quantum technology. While mega-cap technology firms, such as Nvidia, dominated the news, a distinct cohort of stocks delivered outsized securities lending returns. These returns weren’t just a byproduct of high valuations; they were driven by structural demand, balance-sheet transformations and shifts in investor positioning. 

Here we look at three of the highest earning AI-related names, all of which appear prominently in the Top 10 highest earners globally. 

CoreWeave (CRWV)

No stock generated more securities lending revenue in 2025 than CoreWeave, which earned approximately $467 million for lenders, the most by a single security since AMC’s 2023 record breaking year, which generated over $500 million. As a specialist AI cloud provider, the company sat at the epicenter of the global GPU build-out.

Demand to borrow the stock intensified throughout the year as hedge funds positioned around its rapid scaling and massive capital requirements for new data centers. 

The defining moment came in August 2025 with an accelerated IPO lock-up expiration. In the weeks leading up to the event, borrowing fees surged beyond 15,000 basis points, reflecting acute scarcity as traders rushed to secure “pre-release” stock. When the lock-up took effect, roughly 80% of Class A shares became tradeable, flooding the market with supply. 

This sudden shift triggered a sharp two-day sell-off of nearly 35% as early investors cashed out. While borrowing costs collapsed back to General Collateral (GC) levels almost overnight, the episode left a lasting mark. Loan balances rose steadily through year-end, suggesting that institutional investors re-engaged with the stock at its new valuation to manage risk or re-establish long-term exposure. 

Infosys (INFY)

Infosys emerged as a surprise heavyweight in the lending market, ranking as the third-largest revenue generator globally with roughly $91 million earned. Its performance reflected a broader shift: the market moved from valuing AI “potential” to valuing AI “deployment.” 

As a primary beneficiary of enterprise-level AI adoption, Infosys saw lending activity build gradually rather than in a single burst. Loan balances began a steady climb in mid-June, reflecting sustained institutional repositioning as the “U-shaped” recovery in IT spending took hold. 

Lending fees peaked above 2,000 basis points in mid-October during a heavy cycle of contract announcements and earnings updates. Unlike the volatility seen in infrastructure names, Infosys’ lending activity remained orderly. It served as a bellwether for the “AI-first” consultancy model, where lending demand was driven by investors hedging global IT service trends rather than speculative betting. 

Quantum Computing Inc. (QUBT)

Generating approximately $53 million in revenue, Quantum Computing Inc. proved that early-stage tech could punch well above its weight in the lending markets. Investor interest was fuelled by a recurring cycle of news: quantum-resistant security launches, government contracts and significant capital raises. 

QUBT’s lending profile was characterized by “burst volatility”. While loan balances grew steadily, borrowing fees were highly erratic, spiking several times in the first quarter and again in July. Each spike occurred when retail-driven rallies outpaced the available lending pool, creating short-term “squeezes.” For hedge funds, QUBT was the quintessential momentum trade of 2025; securities lending activity here tracked short-term sentiment shifts and “headline risk” rather than long-term fundamental shifts. 

The Final Prompt: No Hallucinations Here!

The activity we saw in 2025 highlights how the AI trade has matured. It is no longer just a story of rising stock prices. It is a complex ecosystem where supply shocks, contract wins and institutional hedging all play a role. By looking at the utilization for names like CoreWeave and Infosys, we get a clearer picture of how the market is actually digesting the AI boom, distinguishing between the companies building the hardware and those successfully putting it to work. 

Ultimately, securities lending serves as a unique window into market conviction. Whether it was the high-stakes volatility of quantum startups or the steady institutional build-up in global IT services, the lending data from the past year proves that the AI story is far from one-dimensional. As the sector continues to evolve, keeping an eye on these behind-the-scenes mechanics will remain essential for understanding where the market’s true focus lies. 

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