Key Takeaways
- • Australia's roughly $200 billion private credit sector remains concentrated in real estate lending, which accounts for 40% to 60% of fund exposure according to data from the Australian Securities and Investments Commission (ASIC).
- • Major local managers including Metrics Credit Partners, Qualitas, MA Financial, Revolution Asset Management, Merricks Capital and Centuria have not yet lent directly to companies across the AI value chain, per Capital Brief enquiries.
- • Alceon chief executive David Gribble attributes the gap to the scale of data centre debt required, arguing that lenders must "go big or don't worry about it."
- • Lenders globally are reassessing data centre risk following the failed float of Firmus, which has raised caution about the sector.
- • Alceon and MA Financial are exploring GPU financing and powered land as potential entry points into AI infrastructure lending.
Summary
The largest local funds have largely avoided the volatility seen elsewhere. They sidestepped the so-called SaaSpocalypse earlier this year, which hit large Wall Street firms such as Blue Owl Capital, and have been less exposed to growing concerns over the viability of some data centre developers as interest rates continue to rise. However, Capital Brief's enquiries found that many of Australia's largest private credit managers, including Metrics Credit Partners, Qualitas, MA Financial, Revolution Asset Management, Merricks Capital and Centuria, have yet to lend directly to companies across the AI value chain.
Alceon chief executive David Gribble told Capital Brief that local players are not missing out on data centre lending because of unwillingness, but because the debt required to build data centres is very large. "It's either go big or don't worry about it," he said. "If you went too small you may end up lending to some no-name little data centre company and that's much riskier."
According to the report, managers such as Alceon and MA Financial are looking toward GPU financing and powered land as possible ways into the AI sector. The absence of local AI lending to date suggests the sector's entry strategy is still being developed, with scale and counterparty risk remaining the central considerations.
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