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Private credit in the age of AI
AI is embedded across the private credit ecosystem – but operational impact depends on integration, data foundations, and governance
AI-powered private credit
Key findings at a glance
Private credit has moved beyond AI experimentation. In our survey of 105 senior private credit leaders, 85% say AI is embedded in private credit activities, and 68% say it is embedded in a way that drives competitive advantage.
Yet the report finds adoption depth remains uneven, with many firms still building the operating discipline required to scale AI safely and consistently.
85%
report AI is embedded in private credit activities
68%
say AI drives competitive advantage
76%
cite investment decision-making as the greatest area of AI value
63%
are implementing AI/automation in the middle office, while 27% have already done so
94%
say AI/technology is very or critically important to retail access
From adoption to operating discipline
AI is already delivering the strongest value in investment decision-making (76%) and risk management and monitoring (63%).
The next step is operational integration: 63% of firms are currently implementing AI or automation in middle-office operations, while 27% report these programmes are already complete.
The latest research report explores:
- Where AI is delivering value today across the private credit lifecycle
- Middle-office automation as the new operational core
- Why retail and non-institutional access increasingly depends on AI-driven operational economics
- Data, real-time operations, and the infrastructure required for scale
- Governance, cyber risk, and accountability as AI becomes operational infrastructure
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