AI adoption across credit markets is evolving rapidly beyond workflow automation and analytical support tools. Firms are increasingly exploring autonomous AI agents capable of monitoring portfolios, executing trading decisions, reallocating capital and managing investment processes across increasingly complex and data-intensive public and private credit environments.  

This session will examine how agentic AI and autonomous execution models could reshape portfolio management, trading infrastructure and investment governance across credit markets. Panellists will discuss where machine-driven investment systems can create competitive advantage, how firms should balance autonomy with human oversight and what the rise of AI-governed portfolios could mean for the future structure of credit investing.  

Following the fireside chat, attendees will break into interactive roundtable discussions to debate the key themes, share practical insights and exchange perspectives with peers. 

Rapid advances in AI are reshaping how investment teams analyse markets, evaluate risk and respond to changing conditions across increasingly interconnected public and private credit markets. Firms are increasingly testing how different AI models perform across investment workflows; from scenario analysis and portfolio monitoring to credit research and market intelligence, while balancing analytical speed and scalability with explainability and governance requirements.  

This fireside chat will examine how firms are integrating AI into portfolio management and investment decision-making across credit markets. Speakers will discuss where AI can genuinely improve responsiveness and investment judgement, how firms are selecting AI models for different investment tasks and how investment teams can scale analytical capabilities while maintaining oversight and investment discipline.