New research reveals how 105 senior private credit leaders are deploying AI today, where it's delivering measurable value, and what separates the companies building for scale from those still catching up.
AI is no longer a question in private credit. It's a baseline. 85% of senior leaders say it's fully embedded in their operations. The question now is whether it's working hard enough.
The firms pulling ahead aren't just deploying AI. They're embedding it with intent, building the data foundations and governance structures that allow it to operate at scale. Those still running fragmented workflows and isolated use cases are finding it harder to keep pace as portfolios grow and investor expectations rise.
Our latest research, drawing on responses from 105 C-suite executives across the Americas, Asia Pacific and the Middle East, cuts through the noise on the issues that matter most to private credit managers right now.
What the research reveals
- 76% of firms say AI delivers its greatest value in investment decision-making, including deal sourcing, underwriting and pricing
- 94% say AI is critical to making private credit economically viable for retail and non-institutional investors
- 63% are actively implementing AI across middle-office operations, yet only 4% use automated valuation models
- Improved data accuracy and faster processing are the top operational benefits, ranked above cost reduction
- Governance maturity is lagging adoption, with only 7% reporting cross-functional AI oversight
- Risk monitoring and analytics will attract the largest share of AI investment over the next three years
