Data Centers

Oracle’s shares rose after projecting significant revenue growth driven by AI infrastructure. The company forecasts $20 billion in AI-powered database revenue by fiscal year 2030, a substantial increase from previous estimates. Oracle secured $65 billion in new cloud infrastructure commitments this quarter, including a major deal with Meta. The company is expanding its cloud infrastructure, competing with Amazon and Google, and offers its database solutions on rival platforms. Oracle also secured a commitment from OpenAI valued at over $300 billion. They project adjusted earnings per share of $21 on $225 billion in revenue for fiscal 2030.

Europe’s AI ambitions are threatened by increasing water scarcity. Data centers, crucial for AI, consume significant water, especially in water-stressed Southern Europe where tech giants are investing heavily. Experts highlight the lack of integrated planning, prioritizing AI over sustainability. While the EU emphasizes green computing and recycling, concerns persist about the overall water footprint, including off-site energy generation. Some regions are facing tensions and enacting restrictions due to strain on resources, prompting the industry to explore sustainable innovations like non-potable water feeds and water-efficient designs.

Nvidia, Microsoft, BlackRock, and xAI are set to acquire Aligned Data Centers for $40 billion, the largest data center deal to date. This acquisition, led by the Artificial Intelligence Infrastructure Partnership (AIP), signals a surge in investment into the physical infrastructure required to support accelerating adoption of AI. Aligned, a design and operator of data centers, currently owned by Macquarie Asset Management, has 50 campuses with over 5 gigawatts of power capacity, making it an ideal initial investment for the AIP. The deal is expected to close late next year.

Abu Dhabi-backed MGX has rapidly become a key investor in AI infrastructure, partnering with hyperscalers like Microsoft and startups like OpenAI. MGX collaborates with Oracle and others in President Trump’s TikTok initiative and joins a consortium acquiring Aligned Data Centers for $40 billion. Despite geopolitical concerns, MGX’s substantial funding is welcomed by tech companies. Its chairman’s ties to the UAE government and potential affiliations with the Trump administration raise questions, particularly regarding data security and U.S. national interests. Analysts note Middle Eastern investment is essential, but caution against political entanglements.

The escalating demand for data is driving a new real estate frontier: “powered land.” Beyond traditional data centers, securing land with guaranteed access to substantial electrical capacity is now paramount. Hines estimates an additional 40,000 acres are needed to support projected growth. This has led to a focus on power infrastructure and entitlements, turning power rights into investable assets. Tech giants and energy producers are increasingly competing for powered land, reflecting energy security’s critical role in the digital economy. Investors are recognizing that enabling computation, not just building square footage, is key, with firms deploying capital to secure strategic sites globally.

Applied Digital (APLD) stock surged 16% after exceeding first-quarter revenue estimates, driven by high demand for AI data centers. Revenue reached $64.2 million, an 84% increase year-over-year. The company is expanding infrastructure, including its partnership with CoreWeave, adding 150 MW of capacity. Applied Digital secured funding for a second North Dakota campus, aiming for 600 MW total leased capacity by 2027. While revenue increased, the company reported a net loss of $18.5 million.

Nvidia CEO Jensen Huang says AI computing demand has surged, driven by advanced AI models requiring exponential computational resources. The demand for Nvidia’s Blackwell GPU is exceptionally high, marking the start of a new industrial revolution. Nvidia recently invested $100 billion in OpenAI’s data center expansion. Huang notes China’s rapid AI infrastructure deployment outpacing the U.S. He advocates for AI to invest in off-grid power generation, like natural gas or nuclear, to avoid impacting consumer electricity prices, emphasizing the need for faster energy solutions.

Microsoft is pursuing self-sufficiency in data center infrastructure by increasing its use of custom-designed chips. CTO Kevin Scott emphasized the company’s commitment to securing optimal performance, currently relying on Nvidia and AMD while actively deploying its Azure Maia AI Accelerator and Cobalt CPU. Microsoft aims for complete system design, including cooling and networks, and acknowledges an industry-wide compute capacity shortage despite massive AI investments. This strategy mirrors similar efforts by Google and Amazon for performance, efficiency, and cost advantages.

Nvidia’s stock hit a new record high, exceeding $4.5 trillion in market capitalization, driven by its dominant role in AI. The stock is up 39% year-to-date, fueled by strategic deals and its essential AI infrastructure. Rumors suggest closer ties with OpenAI, including a potential equity stake and plans for massive Nvidia-powered data centers (“Stargate”) requiring a $500B investment. Citi analysts raised Nvidia’s price target, citing increased AI infrastructure spending. Meta and Google are also increasing AI investments, benefiting Nvidia, and highlighting the competitive AI landscape.

OpenAI, valued at $500 billion, is heavily investing in AI infrastructure, securing agreements worth billions with companies like Nvidia, Oracle, and CoreWeave. These expenditures drive innovation but raise concerns about sustainability. While OpenAI anticipates $13 billion in revenue this year, analysts caution about vendor financing similarities to the dot-com era and the immense revenue needed to justify the investments. CEO Sam Altman defends the spending, emphasizing the infrastructure needs for AI’s future, citing compute power demands that could necessitate $2 trillion in annual revenue.