Core Insights - A significant shift towards self-sufficient power generation is occurring in the tech industry, driven by the need for substantial energy to support AI and data center operations, as exemplified by projects like OpenAI and Oracle's $500 billion Stargate supercomputing center in Texas and Elon Musk's xAI data centers in Tennessee [1][2]. Group 1: Power Generation Demand - The U.S. requires an additional 80 gigawatts of power capacity annually to meet the demands of AI, cloud computing, and other sectors, but current construction is only at 65 gigawatts, creating a significant shortfall [2][3]. - By 2028, data centers are projected to consume 12% of the total U.S. electricity, up from just 2% in 2020, indicating a rapid increase in energy demand [2][3]. Group 2: Infrastructure Challenges - The construction of high-voltage transmission lines has drastically slowed, with only 888 miles added last year compared to an average of 2,000 miles a decade ago, complicating the energy supply for data centers [3][6]. - Equipment shortages and labor issues, exacerbated by tariffs on steel and aluminum, are hindering the progress of energy projects [3][6]. Group 3: Self-Sufficiency Initiatives - Tech companies are increasingly investing in their own power generation solutions, utilizing small gas turbines, reciprocating engines, and fuel cells to create energy systems comparable to large power plants [4][5]. - The Stargate project in Texas is expected to exceed 1 gigawatt of power capacity, equivalent to the energy consumption of San Francisco [4]. Group 4: Regulatory and Market Dynamics - Some states, like Oklahoma, are enacting laws to facilitate the construction of self-built power facilities to attract AI companies [5][6]. - Despite a focus on renewable energy, the current administration's policies may lead to a decline in investments in wind and solar projects, with over $22 billion in renewable energy projects canceled or scaled back this year [6][7]. Group 5: Future Energy Solutions - Companies like Equinix are exploring partnerships with small modular reactor developers to diversify their energy sources amid policy uncertainties [7]. - Caterpillar is investing $725 million to expand its Indiana facility to meet the growing demand for engines and turbines, indicating a shift towards more flexible energy solutions [7].

Macquarie Asset Management, an investment management company, released its “Macquarie Large Cap Growth Fund” investor letter for the third quarter of 2025. A copy of the letter can be downloaded here. Equity indexes again posted record gains in the third quarter of 2025, with AI-themed stocks leading the market. AI Stocks led around 75% of the market returns in the quarter. In this environment, the fund delivered positive returns in the quarter but lagged behind the Russell 1000 Growth Index benchmark. The ...

Equinix (EQIX) could be a solid addition to your portfolio given its recent upgrade to a Zacks Rank #1 (Strong Buy). This upgrade is essentially a reflection of an upward trend in earnings estimates -- one of the most powerful forces impacting stock prices.The Zacks rating relies solely on a company's changing earnings picture. It tracks EPS estimates for the current and following years from the sell-side analysts covering the stock through a consensus measure -- the Zacks Consensus Estimate.Since a changin ...

13 October 2025 | 12:05AM EDT Equity Research GLOBAL TECHNOLOGY Global Datacenter Supply/Demand update: Tight conditions likely to persist into 2026 + Read-across for Power, Hardware, and Industrial Tech / Engineering Since the July update of our datacenter supply/demand model, the market has absorbed a wave of AI infrastructure announcements, including datacenter project announcements and partnerships from Nvidia, OpenAI, Oracle, Stargate, xAI, and others. In addition, our GS Technology team has framed the ...

Equinix, Inc. (EQIX), headquartered in Redwood City, California, is a global digital infrastructure company that operates as a Real Estate Investment Trust (REIT). With a market capitalization of around $78.4 billion, Equinix owns and manages a large network of carrier-neutral data centers and interconnection services across multiple continents, enabling enterprises, cloud providers, and network operators to scale their digital infrastructure with high resilience and connectivity. The company is expected ...

Albert Anthony is the pen name of a Croatian-American business author who is a media contributor on investor platform Seeking Alpha, where he has over +1K followers, & also writes for platforms like Investing dot com and is launching a book on Amazon in 2025 called Real Estate Investment Trusts (REITs): A Fundamental Analysis.The author comes from a non-traditional financial background having been an analyst in the IT sector for several Fortune 500 companies in the US, as well as the technical support team ...

Equinix, Inc. (NASDAQ:EQIX) ranks among the best real estate stocks to invest in. On September 25, Equinix, Inc. (NASDAQ:EQIX) hosted its inaugural AI Summit and announced the debut of its distributed AI infrastructure. The company presented three key elements: Fabric Intelligence software, a global AI Solutions Lab, and an AI-ready infrastructure. Through the AI Solutions Lab, businesses may test and create AI solutions by gaining access to Equinix’s partner ecosystem, which consists of over 2,000 AI ve ...

Equinix Inc. (NASDAQ:EQIX) is one of the worst-performing data center stocks in 2025. On September 25, the company announced several initiatives that will strengthen its position in AI infrastructure and highlight its focus on distributed AI and global interconnection. At its inaugural AI Summit, the company introduced its Distributed AI infrastructure, designed to help enterprises deploy AI workloads efficiently across regions. Equinix (EQIX) Expands AI Ecosystem with New Partnerships and Solutions Phot ...

Core Insights - Equinix (EQIX) has launched a Distributed AI infrastructure designed to support the next generation of AI innovation, including agentic AI [1][9] Group 1: Infrastructure and Technology - The new Distributed AI infrastructure addresses the complex needs of businesses deploying next-generation AI agents, requiring a reimagined IT architecture for training, inference, and data management [2] - Equinix operates a fully programmable, AI-optimized network that connects over 270 data centers across 77 markets, enabling reliable and secure operation of intelligent systems globally [3] Group 2: Key Announcements - Equinix will introduce Fabric Intelligence, a software layer enhancing Equinix Fabric, which automates connectivity for AI and multicloud workloads, set to launch in Q1 2026 [4] - The company is establishing AI Solutions Labs in 20 locations across 10 countries, facilitating collaboration with top AI partners to accelerate AI adoption and innovation [5] Group 3: Ecosystem and Partnerships - Equinix is recognized as a comprehensive vendor-neutral AI ecosystem with over 2,000 global partners, enhancing the discoverability of next-generation AI inferencing services through Fabric Intelligence [6] - The GroqCloud platform, launching in Q1 2026, will provide enterprises with direct access to advanced inference platforms, enabling rapid scaling of AI services while ensuring performance and security [6] Group 4: Use Cases and Applications - The Distributed AI infrastructure supports various use cases, including real-time decision-making for predictive maintenance, dynamic retail optimization, and accelerated fraud detection in financial services [7] - These AI capabilities will be available in Q1 2026, allowing organizations to run scalable, compliant, and low-latency AI workloads across multiple regions [7]

Core Insights - Zayo and Equinix have introduced the AI Infrastructure Blueprint, a framework designed to enhance the scalability of AI workloads through improved infrastructure [1][3][4] - The blueprint aims to bridge the gap between AI ambitions and the necessary infrastructure, focusing on high-capacity networks and interconnection hubs [3][5] Infrastructure Framework - The AI Infrastructure Blueprint outlines a structured architecture that integrates training locations, distributed inference, and network nodes, with Equinix serving as interconnection hubs and Zayo providing high-capacity fiber services [4][5] - This framework is intended to simplify the deployment and scaling of AI communication infrastructure for neocloud and generative AI providers [5][6] Scalability and Guidance - The blueprint offers validated scalable reference designs that minimize trial and error, thereby accelerating time to market for AI training and inference [6] - It provides practical guidance across key network layers, leveraging the extensive experience of Equinix and Zayo in cloud connectivity and IP peering [6][7] Industry Impact - As AI-driven bandwidth demand is projected to increase by up to 6X by 2030, Zayo is investing in expanding its fiber capacity, including plans to build over 5,000 new route miles of long-haul fiber [7][8] - Zayo's acquisition of Crown Castle's fiber solutions business will add over 100,000 metro route miles, further supporting enterprise and AI-driven bandwidth growth [7][8] New Initiatives - Equinix has announced its Distributed AI infrastructure, which includes an AI-ready backbone and a global AI Solution Lab to facilitate the testing of new solutions [8]