Group: News-about-credit

‘Private Credit: Real Yields vs Artificial Intelligence’ webinar recording

Access the recording of our webinar on private credit, real yields and AI in credit markets.

Aaron Mulvihill (JP Morgan Asset Management) discusses how changing yield conditions and AI-driven investment themes are influencing private credit opportunities and allocation decisions. The session is relevant for credit investors, portfolio managers and professionals assessing alternative income and private credit strategies.

Key takeaways

  • Private credit investor demand remains strong: Private credit remains a leading allocation within alternatives, supported by income generation and diversification benefits.
  • Real yields are supporting alternative income demand: Weak real yields in traditional portfolios have reinforced the case for alternative income sources.
  • Private credit yields are moderating as competition increases: While still offering a premium to public markets, yields have moderated due to lower rates and increased competition.
  • Private credit default risks and restructuring trends matter: Defaults remain relatively low, though investors are monitoring early indicators such as restructuring activity and payment-in-kind structures.
  • AI infrastructure investment is driving debt issuance: Rising capital investment in AI is driving new debt issuance, particularly in data center and infrastructure financing.
  • Manager selection is becoming more important in private credit: Increasing market complexity is expected to widen dispersion between managers, making due diligence more critical.

Watch the recording

Conference recordings now available

Recordings from the GICP Annual Conference 2026 – Private Credit are now available to watch on demand.

Held virtually the conference brought together experts from Fitch Ratings, CreditSights, and the wider industry to explore key developments in the private credit market.

The half-day event featured sessions on market trends, credit analysis across a range of private credit structures, emerging technologies including open source AI applications, and career development within the sector.

Visitors can now access recordings of all sessions via the conference web page.

New GCC Syllabus Unveiled, Reflecting Rapid Market Evolution

The Global Institute of Credit Professionals announces key updates to its syllabus for the Global Credit Certificate (GCC), incorporating new chapters on private credit and artificial intelligence (AI)-focused skills, that will enable credit professionals to better future-proof their careers.

This marks the first professional certification to blend traditional credit, private credit and AI- learning into one comprehensive syllabus.

Starting April 1, students will be able to access the enhanced GCC syllabus reflecting the new realities for professionals working in global credit markets. The explosive growth of private credit – global private credit assets under management (AUM) is projected to double by 2030 – has fundamentally reshaped the credit landscape, whilst AI adoption is transforming how credit professionals work. The updated curriculum equips analysts to navigate both shifts.

“These new chapters are the perfect complement to the traditional credit coverage in the GCC and will help our candidates build expertise that endures across market cycles and technological shifts,” said Andreas Karaiskos, Executive Director of the GICP and CEO of Fitch Learning, the global leader in financial learning and professional certifications.

The new GCC is the most comprehensive professional development and certification pathway in the credit analysis space.  The syllabus provides learners, both experienced and early career professionals, with full market coverage and the resources, expertise and fundamental skills needed to work in any area of credit. The certification teaches credit professionals to make better credit decisions, enabling them to navigate the changing market landscape and future-proof their careers.

“Professionals who achieve the certification set themselves up to capture opportunities across expanding credit markets and employers who invest in this credential build teams capable of offering clients the full-spectrum expertise today’s market demands,” added Karaiskos.

Highlights from the enhanced curriculum – which is developed for the industry, by the industry, with input from leading practitioners – include:

  • Private credit: Focused on real-world application, the curriculum goes beyond theory to equip participants with skills to analyze private credit deals using a structured approach. Candidates will gain hands-on experience and skills in areas including due diligence, deal structuring, and documentation; practical portfolio management strategies; and evaluation of investment vehicles that they can apply immediately.
  • AI: As the industry continues to innovate and adopt AI, workflows are evolving. This new chapter explores available tools, their use, as well as the impact of AI on credit now and in the future, plus considerations in the financial services sector including risks and compliance.

Get your copy of the new GCC syllabus here and sign up to one of the info sessions for more details.

‘AI in Credit Analysis: Best Practices, Prompt Patterns and Agentic Applications’ webinar recording

Explore this webinar on AI in credit analysis and agentic AI.

Adam Ahmed (GICP, Fitch Learning) explains how AI tools are being applied across credit workflows, from prompt design to workflow automation, and where their limits still matter. The session is relevant for credit and risk professionals and teams exploring practical AI use in research and analysis.

Key takeaways

  • AI in credit is shifting from models to workflow applications: Advances in AI are shifting from rapid model development to how models are integrated into real-world workflows, with growing focus on agentic AI.
  • Agentic AI introduces new capabilities and control risks: Unlike chat-based tools, agentic AI systems can execute tasks and iterate towards outcomes, introducing new capabilities, but also new control and security considerations.
  • AI adds most value in data-heavy credit analysis workflows such as sourcing, structuring and analyzing unstructured information, rather than replacing rule-based financial models.
  • Prompting and context management improve AI output quality: Effective use relies on well-structured prompts and careful management of context to maintain accuracy and relevance.
  • Human oversight remains essential in AI-driven credit work: Outputs should be treated as an extension of the user’s work, with responsibility for review and validation remaining with the analyst.
  • Agentic AI is reshaping roles in credit analysis: As agentic tools develop, professionals will increasingly need to manage AI workflows alongside traditional analytical responsibilities.

Watch the recording