AI Quarterly 2Q26: Technical Difficulties
Winnie Cisar: Global Head of Strategy
Erick Vega, CFA: Senior Analyst, Emerging Markets Corporates
Zachary Griffiths, CFA: Head of IG & Macro Strategy
Jordan Chalfin, CFA: Head of Technology
Andrew Brady: Head of Basics
Andy DeVries, CFA: Head of Investment Grade, Head of Utilities
Andrew Moulder: Head of Utilities
Andy Li, CFA: Head of Semiconductors
Zerlina Zeng, CFA: Head of APAC Credit Strategy
Stephanie Sim, CFA: Analyst, Strategy and East Asia Corporates
Nicholas Chen: Analyst, East Asia Corporates
Miguel Silvestri: Senior Analyst, Industrials
Jim Williamson: Senior Analyst, Autos
Wen Li, CFA: Head of Metals & Mining
Shreyas Nampoothiri: Analyst
Diego Espinosa Valdez: Analyst, Utilities
28 July 2026
- How shifting AI investment trends are reshaping credit conditions across the value chain.
- Which sectors are seeing the strongest opportunities from accelerating AI infrastructure demand.
- What emerging risks could influence sentiment toward hyperscalers, data centers, and technology issuers.
- How AI is influencing economic growth, productivity trends, and broader market dynamics.
- Where investors may find resilience as funding needs and market expectations evolve.
Executive Summary
AI-related credit markets faced pressure as funding activity weighed on investor sentiment. Market reactions reflected positioning shifts rather than widespread concerns about fundamentals.
Major technology companies continued expanding AI investments across infrastructure and capital markets. Issuance trends highlight the scale of commitments supporting future AI development.
Broader economic indicators underscore AI’s growing influence on business activity and productivity. Labor market changes continue drawing attention as adoption accelerates across industries.
Meanwhile, sectors tied to AI infrastructure are benefiting from sustained demand. Semiconductors, utilities, and data centers remain supported by long-term growth drivers.
However, investor focus remains on balancing opportunity with evolving market risks. Credit selection is increasingly important as conditions vary across the AI ecosystem.
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