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Instead of remaining just a capital provider, Ares is evolving into an operator in the digital infrastructure space. By acquiring a logistics developer and hiring talent from hyperscalers, the firm now builds and develops data centers directly, aiming to capture greater value by controlling the asset lifecycle.
AI data center development follows a phased financing strategy. Developers use initial equity to fund long-lead-time items like power substations, which can take 18 months. This shortens the final build timeline, making the site attractive to tenants. Once a long-term lease is signed, the project is de-risked and can be financed heavily with debt.
Ares' real estate strategy shuns traditional sectors like office and hospitality, instead targeting "new economy" assets like multifamily housing, industrial logistics, and data centers. This approach treats real estate as a strategic play on core economic and technological trends rather than just property ownership.
The era of real estate investment firms acting solely as middlemen—raising capital and deploying it to third-party operators—is over. The industry is consolidating, and investors now demand vertically integrated models where firms have their own in-house operating capabilities, a trend confirmed by capital flows.
As AI commoditizes software development, the traditional VC model of taking minority stakes in asset-light companies is becoming outdated. The new opportunity lies in building entire businesses from scratch in capital-intensive sectors like real estate and healthcare, moving from investors to company builders.
OpenAI is moving from simply renting compute to owning its infrastructure. By raising its spending forecast to $750B and building its own $20B 'Project Camilla' data center, the company is reducing long-term dependency on cloud providers and securing its capacity for future scaling.
Historically, data centers were designed and built like unique architectural projects. Now, the need for rapid, global scale is forcing the industry to adopt a manufacturing mindset, treating data centers like cars or planes produced on an assembly line. This shift creates a new market for production orchestration software beyond traditional factories.
Data center projects are frequently delayed by fragmented supply chains. The new solution, exemplified by Helix Digital, is to create joint ventures that unite capital partners (KKR), chip providers (Nvidia), and energy companies (Vistra) into a single entity from the outset, ensuring all critical components are aligned.
Helix Infrastructure Partners, led by former AWS CEO Adam Solipsky, will enter the AI data center market by acquiring an existing mid-tier operator. This "buy and build" strategy, backed by KKR, aims to use a foundational asset to scale rapidly, rather than starting with greenfield projects.
Asset management giant Brookfield is moving beyond just financing AI infrastructure. It is building its own cloud company, Radiant, to be the primary tenant in its global data centers. This strategy cuts out middlemen like CoreWeave and leverages Brookfield's government connections to target the lucrative "sovereign AI" market.
The saga of the Abilene, Texas data center reveals developer Crusoe's aggressive strategy. To gain a speed advantage in the competitive AI infrastructure market, Crusoe begins construction on massive projects before contracts are signed, a high-risk approach that allows them to offer clients ready-to-go capacity.