The Rise of Capital as the Gatekeeper

“Capital has become the gatekeeper of compute, deciding who gets capacity, where, and at what price,” explains Sanchit Vir Gogia, chief analyst and CEO at Greyhound Research. “When ownership changes hands, contracts and pricing often change with it.” The acquiring consortium – comprising BlackRock’s Global Infrastructure Partners (GIP), the United Arab Emirates investment fund MGX, and the AI Infrastructure Partnership (AIP), which includes GIP, MGX, Microsoft, and Nvidia – will control over 5 gigawatts of data center capacity spread across 50 campuses in the United States and Latin America. The deal is anticipated to finalize in the first half of 2026, pending regulatory approvals.

The trend towards consolidation is accelerating. Since 2022, private equity firms have been responsible for a staggering 80-90% of all data center mergers and acquisitions, according to a report by Americans for Financial Reform (PE Data Centers Report). Transaction values soared to $73 billion in 2024, a significant jump from $26 billion in 2023, as reported by Synergy Research Group (Synergy Research Group Data Center MA Deals). This concentration of ownership inherently reduces competition and empowers operators with greater pricing leverage.

Yugal Joshi, a partner at Everest Group, notes, “CIOs are under significant pressure to clearly define their data center strategy beyond traditional one-off leases. Given most of the capacity is built and delivered by fewer players, CIOs need to prepare for a higher-price market with limited negotiation power.”

The financial realities are already evident. Global data center costs climbed to $217.30 per kilowatt per month in the first quarter of 2025, with key markets experiencing year-over-year increases of 17-18%, according to CBRE (CBRE Global Data Center Trends). These prices haven’t been seen since 2011-2012, and analysts predict they will remain elevated. Gogia succinctly states, “The combination of AI demand, energy scarcity, and environmental regulation has permanently rewritten the economics of running workloads. Prices that once looked extraordinary have now become baseline.”

Hyperscalers Secure the Front Row Seats

The problem of consolidation is further exacerbated by the allocation of available capacity. North America’s data center vacancy rate plummeted to just 1.6% in the first half of 2025, with Northern Virginia registering a mere 0.76%, according to CBRE Research (North America Data Center Trends). Perhaps more concerning for enterprises, a substantial 74.3% of capacity currently under construction is already pre-leased, primarily to cloud and AI providers.

“The global compute market is no longer governed by open supply and demand,” Gogia asserts. “It is increasingly shaped by pre-emptive control. Hyperscalers and AI majors are reserving capacity years in advance, often before the first trench for power is dug. This has quietly created a two-tier world: one in which large players guarantee their future and everyone else competes for what remains.”

This dynamic necessitates longer-term planning for enterprises. “CIOs must forecast their infrastructure requirements with the same precision they apply to financial budgets and talent pipelines,” Gogia emphasizes. “The planning horizon must stretch to three or even five years.” The situation is complicated by some operators rebranding existing facilities as “AI-ready” without substantial infrastructure upgrades. “Many are rechristening traditional data centers into AI data centers to exploit the rapidly growing demand,” Joshi explains, “This is further constraining the industry.”

What strategies are enterprises employing to navigate this challenging landscape? Are they considering alternative cooling technologies or exploring edge computing solutions to reduce reliance on centralized data centers?

Navigating the New Reality: Strategies for Enterprise CIOs

Analysts recommend a multi-faceted approach for enterprise IT leaders. Joshi suggests expanding beyond tier-1 data centers to secondary markets and actively securing capacity commitments with robust service-level agreements covering availability, right of first offer, and right of first refusal. “Working with more data center and cloud vendors will help them diversify the risk to an extent,” he advises.

Power availability is now a critical consideration. AI workloads currently demand rack densities of 130 kilowatts, with projections reaching 250 kilowatts, according to JLL (JLL Data Centre Investment Trends) – significantly exceeding the 40 kilowatts typical of traditional computing.

CIOs should also critically evaluate existing workloads. “A significant amount of data center capacity is wasted on idle workloads because of poor architecture, underutilized adoption, and suboptimal management. If CIOs can modernize these workloads it can materially reduce the need for raw capacity that their data centers are now unable to meet,” Joshi states.

Ultimately, data center decision-making must be elevated to the highest levels of corporate strategy. “Infrastructure can no longer sit at the periphery of AI planning; it must sit at the centre of boardroom strategy,” Gogia concludes. “The enterprises that control their compute environment will shape their own AI destiny. Those that rely on residual access will find that intelligence, like power, always flows to where it is guaranteed first.”

Frequently Asked Questions

• What impact will the BlackRock-Aligned Data Centers deal have on AI development?

  The acquisition concentrates significant data center capacity in the hands of a few key players, potentially accelerating AI development for those with guaranteed access but creating challenges for others seeking compute resources.

• How can CIOs mitigate the risk of limited data center capacity?

  CIOs should diversify their provider relationships, explore secondary markets, secure long-term commitments with SLAs, and optimize existing workloads to reduce capacity needs.

• What is the role of hyperscalers in the current data center landscape?

  Hyperscalers are pre-leasing a significant portion of new data center capacity, effectively securing their future compute needs and creating a two-tiered market.

• What are the key factors driving up data center costs?

  AI demand, energy scarcity, and increasingly stringent environmental regulations are all contributing to rising data center costs.

• How important is power availability for AI workloads?

  Power availability is critical, as AI workloads require significantly higher rack densities than traditional computing, demanding substantial power infrastructure.