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Large AI projects unlock $1.8t opportunity for private credit
The rise of AI is prompting tech companies to seek funding in private credit markets for building data centers and acquiring necessary computing chips.
Carlyle Group estimates that over US$1.8 trillion could be deployed by 2030 to address these needs, with private markets expected to play a significant role.
Mark Van Zandt, managing director at King Street Capital Management, said that traditional funding methods, such as asset-backed bonds and real estate debt, are insufficient for the growing infrastructure requirements.
Tech companies are increasingly turning to private equity and debt for financing these projects.
Startup Nscale is seeking US$2.7 billion, which includes a US$1.8 billion private credit loan related to a potential partnership with ByteDance.
Additionally, SoftBank is pursuing a US$16.5 billion loan, while Meta Platforms aims to secure billions for domestic data center development, with firms like Apollo Global Management and KKR reportedly involved.
Despite optimism, some investors warn of risks and possible overinvestment, especially with AI budgets projected to shrink.
🔗 Source: Bloomberg
🧠 Food for thought
1️⃣ The trillion-dollar AI infrastructure funding gap mirrors historical patterns
The current AI infrastructure boom follows a pattern seen in previous technological revolutions where private capital bridges public funding gaps.
Today’s projected $1.8 trillion capital requirement for AI infrastructure by 2030 creates an opportunity similar to what occurred in traditional infrastructure sectors, where private sources now account for 78% of construction spending compared to 22% from public sources 1.
This shift toward private funding is particularly pronounced in specialized infrastructure, such as manufacturing construction, which is 99.6% privately funded, while public infrastructure like roads remains government-backed 1.
The scale of the current AI investment wave is unprecedented but follows predictable patterns. AI and ML spending was projected to grow from $12 billion in 2017 to $57.6 billion by 2021, and now the broader AI market could reach $1 trillion by 2027 23.
This rapid acceleration has created a funding gap that traditional financing mechanisms cannot fill alone, explaining why private credit has become essential for companies building specialized AI data centers.
