J P M O R G A N Asia Pacific Economic Research 08 October 2025 (852) 2800-0143 tingting.ge@jpmorgan.com JPMorgan Chase Bank, N.A., Hong Kong Branch China monthly data outlook An eventful month set to shape near- & mid-term policy guidance Despite slightly better-than-expected exports driven by non-US demand, China's domestic activity has lagged for two months, with retail sales weakening as trade- in subsidies faded and consumer confidence stayed low. Industrial production slowed and fixed asset investment ...

Core Insights - IREN Ltd shares reached a new 52-week high, reflecting strong investor confidence in the company's transition from Bitcoin mining to the artificial intelligence sector [1] - The stock's recent peak followed a brief decline due to an $875 million convertible senior note offering, indicating robust underlying momentum that mitigated initial dilution concerns [2] - High-profile endorsements and ambitious growth targets are driving bullish sentiment, with investor Eric Jackson predicting a potential increase in stock value from $9 to $900 [3] Financial Performance - IREN aims for over $500 million in annualized recurring revenue by early 2026, positioning itself as a significant player in the AI infrastructure market [4] - The stock is currently trading at $64.35, up 6.97%, and is near its 52-week high of $65.21, significantly above its 50-day ($30.70), 100-day ($21.79), and 200-day ($15.29) moving averages, indicating strong bullish momentum [4][5] Market Dynamics - The recent high of $65.21 suggests potential resistance at this level, while support may be found near the intraday low of $60.91 [5] - IREN's exceptional Momentum and Growth scores of 99.54 and 99.77, respectively, reflect a positive price trend across all time horizons [4]

These AI stocks have surged in the triple digits this year.Investors have piled into artificial intelligence (AI) stocks in recent years, buying shares of companies involved in various areas of the technology -- from chip designers to players in fields like voice AI. The industry offers investors a wide range of choices, and many of these have already delivered significant gains. For example, chip designer Nvidia and voice AI player SoundHound AI have advanced 1,300% and nearly 400%, respectively, over thre ...

6 October 2025 | 12:06AM EDT Equity Research Nvidia Corp. (NVDA) Considering the impact of OpenAI and strategic investments on the business NVDA 12m Price Target: $210.00 Price: $187.62 Upside: 11.9% Nvidia has announced strategic investments and partnerships with OpenAI and others. These announcements have sparked investor debate around the nature of the deals and the extent to which Nvidia's equity investments could be recycled by investees as GPU spending, recognized by Nvidia as "circular" revenue. The ...

BING-JHEN HONG/iStock Editorial via Getty Images Listen below or on the go on Apple Podcasts and Spotify CEO Jensen Huang wishes he had invested more in xAI. (0:15) Analysts react to Tesla price cuts. (0:58) Dell rallies again. (1:58) This is an abridged transcript of the podcast: Our top story so far, Nvidia (NASDAQ:NVDA) CEO Jensen Huang confirmed that his company has invested in the latest funding round for Elon Musk's generative artificial intelligence outfit xAI (X.AI). He said on CBNC he was ex ...

The U.S. stock market demonstrated robust performance in afternoon trading on Wednesday, October 8, 2025, with major indexes rebounding from earlier losses. Investors largely shrugged off concerns surrounding an ongoing U.S. government shutdown, instead focusing on corporate developments and anticipating key insights from the Federal Reserve. The tech-heavy Nasdaq Composite and the benchmark S&P 500 both achieved new all-time highs, underscoring a prevailing bullish sentiment driven by momentum in artificia ...

The Dow Jones rose 3% while the S&P 500 climbed 0.5%, and the Nasdaq led with a 0.7% increase. Small caps on the Russell 2000 also advanced by 0.6%. These gains followed a mixed but generally positive trading session amid continued economic uncertainty due to the ongoing U.S. government shutdown. Housing data released showed weakness, with mortgage applications dropping again, reflecting tighter mortgage rates and hesitancy among homebuyers.Nvidia is reportedly investing $2 billion into a $20 billion equit ...

Core Insights - Magnetar Financial has transitioned from shorting subprime debt to becoming a major player in the AI sector, with a significant investment in CoreWeave Inc. that has grown from a $50 million loan to a $12.5 billion stake, representing nearly 72% of Magnetar's $20.5 billion portfolio and resulting in a 145% quarterly gain [1][2]. Investment Strategy - The initial investment in CoreWeave was made through structured loans secured by high-end Nvidia processors, with Magnetar leading a $7.5 billion loan to CoreWeave and Blackstone in 2024, marking one of the largest private debt financings [3]. - As of September 30, Magnetar held 91.4 million shares of CoreWeave, approximately 23% of the company, despite reducing its position by about 4.4 million shares, which still yielded a 247% gain as CoreWeave's stock increased over 220% year-to-date [4]. Market Position - Magnetar's concentrated investment in a single AI company is drawing attention on Wall Street, with some investors expressing concerns about the venture-like nature of this exposure, although the returns are currently substantial [5]. - The shift from the 2008 "Magnetar trade," which profited from the housing collapse, to a focus on AI infrastructure illustrates the importance of timing in finance, as highlighted by Alec Litowitz's strategic moves [6].

Oracle (ORCL) stock slid Tuesday following a report that the company has slim profit margins on AI cloud computing compared to the rest of its business. AI bullishness and cloud growth has been key to Oracle stock's rally over the past 12 months. Oracle collected roughly $900 million in revenue but only $125 million in gross profit from renting cloud-based servers with Nvidia (NVDA) chips to other businesses during its August-ended quarter, according to a report from The Information, which cited internal do ...

Core Insights - The enterprise narrative on artificial intelligence has shifted from testing AI capabilities to execution, with recent announcements from IBM, Oracle, and Nvidia indicating that AI is becoming foundational to enterprise infrastructure [1] Group 1: IBM and Anthropic Partnership - IBM announced a partnership with Anthropic to integrate the Claude family of large language models into its AI-first software-development environment, enhancing its hybrid-cloud ecosystem [3] - This collaboration aims to provide productivity gains from generative AI while ensuring compliance and data control, transforming AI into a reliable utility for critical workloads [4] - Anthropic plans to triple its international workforce to meet the demand for Claude deployments, raising questions about IBM's ability to operate generative tools in compliance-heavy sectors like finance and healthcare [5] Group 2: Oracle and EPAM Systems Collaboration - EPAM Systems and Oracle expanded their alliance to promote AI-enabled cloud services across various industries, leveraging EPAM's expertise to migrate legacy workloads to Oracle Cloud Infrastructure [6] - This partnership emphasizes the importance of service providers in the AI economy, as enterprises require assistance in integrating AI models into regulated data environments [6] Group 3: Nvidia and Fujitsu Partnership - Nvidia and Fujitsu announced a collaboration to co-develop AI infrastructure that connects Fujitsu's MONAKA CPUs with Nvidia GPUs, targeting advanced workloads in robotics, healthcare, and manufacturing [7] - This partnership aligns with Nvidia's strategy to create a global AI compute backbone and supports Fujitsu's goals for energy-efficient AI infrastructure [7] Group 4: Financial Implications of AI Integration - The integration of AI into enterprise systems is costly, with businesses spending five to ten times more on integration, compliance, infrastructure, and monitoring than on AI models themselves [8] - Cumulative AI infrastructure spending is projected to exceed $2.8 trillion through 2029, highlighting the growing importance of compute and data systems in enterprise value creation [9]