Core Insights - The article emphasizes the accelerating transition of AI towards "agentic AI" and "physical AI" by 2026, significantly impacting global storage and semiconductor manufacturing, altering supply-demand structures, capacity layouts, pricing, and competitive strategies [5]. Event Information - The Counterpoint Research seminar will provide insights into the AI ecosystem and its implications for various industries, focusing on the critical inflection points in 2026 [7][9]. - The event is scheduled for March 24, 2026, at the Grand Hyatt Shanghai, featuring discussions on key drivers such as smart cities, humanoid robots, and autonomous driving [8]. Agenda Highlights - The seminar will cover six main topics: 1. AI ecosystem and its transformative impact [7]. 2. The rhythm of embodied intelligence and key driving factors [8]. 3. Trends in manufacturing and market dynamics, including wafer foundry capacity and pricing [8]. 4. New cycles in storage, including price outlook and vendor strategies [8]. 5. The evolving landscape of edge AI, with mobile devices remaining central [8]. 6. The role of generative AI in advancing robotic intelligence and its implications for computational needs [14]. Speaker Profiles - Marc Einstein, Director of AI Research, will discuss the implications of agentic AI on the industry [8]. - Ethan Qi, Deputy Director of Robotics Research, will focus on the evolution of "robot brains" and their computational demands [14]. - Kevin Li, Deputy Director of Automotive Research, will analyze the progress of domestic automotive chips and overall vehicle intelligence [14]. - Jake Lai, Head of Foundry Services, will provide insights into the 2026 foundry market and the structural impacts of AI [14]. - MS Hwang, Director of Storage Research, will discuss storage price trends and their downstream effects [14]. - Shiwen Ma, Analyst in Mobile Research, will explore how AI is reshaping consumer electronics and growth opportunities [14].

Core Insights - Counterpoint Research is hosting a series of webinars in January 2026 focusing on memory price trends, humanoid robots, and the automotive market dynamics, aimed at helping businesses anticipate industry changes and seize emerging opportunities [4][18]. Group 1: Memory Price Trends - The global memory market has experienced unprecedented fluctuations, with a projected price increase of 40%-50% by Q4 2025, driven by a significant shift in supply and demand dynamics due to strong demand for high-end memory from AI data centers and high-performance computing [10]. - Traditional memory types like LPDDR4 and DDR4 are facing supply shortages, leading to price inversion in the market [10]. - The webinar will explore supply-demand dynamics, pricing drivers, and their impact on OEMs and the broader technology ecosystem [10]. Group 2: Humanoid Robots - The humanoid robot market is expected to see significant growth, with a projected compound annual growth rate (CAGR) of 69.7% from 2025 to 2030, driven by expanded application scenarios, enhanced AI capabilities, and reduced hardware costs [13]. - The upcoming webinar will delve into the core technologies and definitions of humanoid robots, future application scenarios, market potential, and supply chain opportunities [17]. Group 3: Automotive Market Insights - The Chinese automotive market is undergoing a critical transformation driven by both policy and technology, with opportunities and challenges expected in 2026 [18]. - The webinar will feature insights from industry experts on market structure and sales trends, providing a unique macro perspective on the automotive landscape [16].

Core Viewpoint - The article examines the performance of private credit in light of the Federal Reserve's decision to maintain interest rates and Moody's downgrade of U.S. government debt, questioning why private credit consistently performs well [1][3]. Group 1: Analysis of Interest Rates and Private Credit - The analysis shifts from the effective federal funds rate to the "10-year minus 2-year Treasury yield" to compare the cost differences between public and private funding in terms of mid-term premiums [3]. - Historical data shows significant volatility in U.S. Treasury yields, particularly in years like 2000, 2003, 2007, 2020, and 2021, alongside a long-term trend from 2009 to 2019, indicating that declines in Treasury yields often coincide with declines in credit fund returns [4]. - There is a limited correlation between private credit returns and mid-term Treasury yields, with notable volatility in private credit returns during economic downturns when Treasury yields typically rise [5]. Group 2: Trends and Future Outlook - In the years following economic recessions, private credit returns tend to be significantly higher than average, aligning with historical deep value investment returns during such periods [5]. - The 2010s saw a gradual decline in U.S. Treasury yields without economic recessions, leading to a similar decline in private credit returns, although there was a rebound after volatility in 2017 [5]. - The future outlook suggests that private credit may experience short-term volatility in 2025, but could benefit from deep investments once the market stabilizes, despite potential early impacts from the downgrade of U.S. Treasury credit ratings [6].