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Data Centers Are the New Prime Real Estate: How AI Is Reshaping the Asset Class

By Abhii Dabas
May 28, 2026
9 min read
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Data Centers Are the New Prime Real Estate: How AI Is Reshaping the Asset Class

Introduction

Data centers have quietly become the most capital-intensive and competitively contested asset class in global real estate, propelled by an AI buildout of historic proportions. Hyperscalers — Amazon, Google, Meta, and Microsoft — are collectively planning approximately $630 billion in capital expenditure in 2026 alone, a 62% jump from the $388 billion deployed in 2025, with roughly three-quarters of that spend directed at AI-enabling infrastructure. Against this demand surge, North American colocation vacancy has fallen to an all-time low of 1.4%, asking rates for large-scale deployments have risen 12.5% year-over-year, and JLL projects the sector will require a $3 trillion investment supercycle by 2030 to meet capacity needs. For institutional investors, the question is no longer whether data centers belong in a real assets portfolio — it is how to access the right segment of an increasingly stratified market before the most attractive entry windows close.

The $3 Trillion Infrastructure Supercycle

  • The $630 Billion Demand Signal:
    The four largest hyperscalers — Amazon, Google, Meta, and Microsoft — have collectively committed approximately $630 billion in capital expenditure for 2026, representing a 62% increase from the $388 billion deployed in 2025. Amazon leads at $200 billion (up from $125 billion), Google at $175–185 billion (up from $91 billion), Meta at $115–135 billion, and Microsoft at $110–120 billion. Roughly 75% of this aggregate spend, approximately $450 billion, is directly tied to AI infrastructure buildout — GPU clusters, high-density compute halls, and the network fabric connecting them.
  • From Cloud to AI Workloads:
    The structural shift is not merely quantitative — it is qualitative. First-generation cloud buildouts were optimized for modest power densities of 5–10 kW per rack. AI inference and training workloads demand 40–100+ kW per rack, requiring entirely different mechanical and electrical plant designs, liquid cooling systems, and electrical infrastructure. JLL forecasts that AI could represent half of all data center workloads by 2030, with inference overtaking training as the dominant AI requirement from 2027 onwards. Investors entering the sector today are positioning for a decade-long structural shift in what "data center" means.
  • JLL's $3 Trillion Supercycle Thesis:
    JLL's 2026 Global Data Center Market Outlook projects that nearly 100 GW of new capacity will be added between 2026 and 2030, doubling global installed capacity at a 14% CAGR. The capital required — estimated at up to $3 trillion by 2030 — encompasses $1.2 trillion in real estate asset value creation and approximately $870 billion in new debt financing, in addition to $1–2 trillion in tenant IT equipment. This is not a cyclical trade; it is a multi-decade infrastructure deployment comparable in scale to the 20th-century build-out of electricity grids.

Supply Crunch: Record Vacancy Lows and Pricing Power

  • Vacancy at Historic Lows:
    North American colocation vacancy reached an all-time low of 1.4% at year-end 2025, with Northern Virginia — the world's densest data center market — recording a staggering 0.5% vacancy rate in H2 2025. Record net absorption of 2,497.6 MW was delivered across primary markets in 2025, a 38% jump from the 1,809.5 MW absorbed in 2024, and preleasing of new supply across the Americas reached 78.8%, with US markets at 81.5%. Meaningful easing of availability is not expected before 2030.
  • Rental Rate Escalation:
    The supply-demand imbalance is translating directly into pricing power for operators. The average asking rate for a 250–500 kW requirement in primary wholesale markets rose 6.6% year-over-year to a record $196.25 per kW/month, while pricing for 3–10 MW requirements — the hyperscaler-adjacent segment — surged 12.5% year-over-year as competition for large contiguous blocks of power-secured space intensified. JLL forecasts average global construction costs will reach $11.3 million per MW in 2026 (up 6% from 2025), with AI-optimized facilities requiring $20 million or more per MW.
  • REIT Performance — Validation in the Public Markets:
    Publicly traded data center REITs are delivering the operating leverage that the demand story predicts. Iron Mountain's data center and digital growth businesses collectively grew more than 50% year-over-year in Q1 2026, driving total quarterly revenue to $1.9 billion (+21.6% reported). Equinix guided 2026 revenues to $10.1–$10.2 billion (10–11% growth) after delivering record xScale capacity in 2025. European data center vacancy is forecast to reach an all-time low of 6.5% by year-end 2026, compressing further as grid constraints limit new supply.

Institutional Capital Flows: Where the Smart Money Is Moving

  • Institutional Capital Concentration:
    The entry of institutional capital into data centers has accelerated dramatically. Blackstone has assembled a data center portfolio valued at over $70 billion with a development pipeline exceeding $100 billion. KKR has committed approximately $34 billion of equity across 23 digital infrastructure investments alongside more than $20 billion in power and renewables. Sovereign wealth funds are expected to deploy approximately $100 billion into digital infrastructure in 2026, drawn by long-duration, CPI-linked cash flows that match pension and insurance fund liability profiles. Total data center investment reached approximately $500 billion in 2025; the 2026 figure is tracking toward $650 billion.
  • New Fund Vehicles and Debt Financing:
    Principal Financial launched a $3 billion fundraise for its third and fourth data center fund vehicles in early 2026, following the $3.64 billion Principal Data Center Growth & Income Fund that closed in February 2026. Brookfield closed a $22 billion global transition fund targeting data centers, renewable power, and grid infrastructure. Construction financing and forward-commitment structures have become the primary investment entry points as stabilized asset sales have thinned — annual operational data center investment volume fell approximately 50% year-over-year in 2025 as owners held assets rather than sell into a demand-driven market.
  • Asia-Pacific as the Next Capital Frontier:
    The Asia-Pacific data center market is valued at $35.77 billion in 2026, growing at a 21.35% CAGR toward $94.12 billion by 2031. CBRE forecasts APAC capacity to expand from 32 GW to 57 GW by 2030 at a 12% CAGR. Pension and institutional funds are increasingly targeted as purchasers of large-scale stabilized projects (100+ MW) as developers seek to recycle capital. Capital recycling through sale-leaseback structures is emerging as a dominant transaction format, particularly in Australia and Japan where institutional appetite for long-dated infrastructure income is highest.

Asia-Pacific: Four Markets, Four Opportunity Profiles

  • Singapore: Premium AI Hub Under Capacity Constraint:
    Singapore remains Asia-Pacific's premium data center hub, recently releasing two new development tranches totaling 1.2 GW of capacity after a multi-year moratorium. STT GDC inaugurated Singapore's first AI-ready facility rated at 100 kW per rack in 2024, setting the template for high-density AI infrastructure in the region. However, land scarcity and power constraints are redirecting large-scale hyperscaler demand toward neighboring markets, reinforcing Singapore's positioning as a premium colocation and enterprise hub rather than a mass-scale hyperscaler destination.
  • Malaysia and Indonesia: The Emerging Tier-1 Alternatives:
    Malaysia has emerged as the primary overflow market for Singapore, gaining traction for both hyperscaler overflow and local enterprise workloads as the government accelerates digital economy initiatives. Indonesia is advancing as a next-wave hotspot, driven by sovereign cloud policies and its strategic position on submarine cable routes connecting South and Southeast Asia. Both markets benefit from lower land and power costs relative to Singapore, government-backed incentive schemes, and growing domestic cloud adoption that is creating organic base load demand independent of hyperscaler overflow.
  • Japan: Government-Backed AI Infrastructure Expansion:
    Japan is deploying government subsidies worth JPY 72.5 billion for AI supercomputer infrastructure, with utilities in Hokkaido and Kyushu offering renewable energy power purchase agreements that are attracting GPU farm developers seeking carbon-credentialed power. Osaka has emerged as the primary growth market with Tokyo grid constraints limiting new supply, while regional cities including Fukuoka are receiving first-time hyperscaler attention. Australia rounds out the mature tier, with OpenAI partnering with NEXTDC on a AUD 7 billion hyperscale AI campus in western Sydney.

Risks and Headwinds: Power, Opposition, and Cost Inflation

  • Power: The Binding Constraint:
    Power availability has replaced location as the primary site selection factor for new data center development. Grid connection wait times in primary US markets exceed four years. Morgan Stanley projects a 49 GW power shortfall in the US alone by 2028, as individual campuses scale to 1–4 GW each. The Uptime Institute estimates that AI-specific global data center power load will reach 10 GW by end-2026, constrained by insufficient grid and generation additions — meaning demand is being suppressed by supply, not the reverse. Total global data center energy consumption could approach 1,050 TWh by 2026, placing the sector among the world's five largest national energy consumers.
  • Community Opposition and Project Delays:
    Between April and June 2025 alone, Data Center Watch counted 20 proposals valued at $98 billion in 11 US states that were blocked or delayed by local opposition and state-level pushback — representing two-thirds of projects tracked in that period. Cumulatively, $64 billion in data center projects have been blocked or delayed amid community resistance. Microsoft acknowledged in a 2025 securities filing that "community opposition, local moratoriums, and hyper-local dissent" are material operational risks. Primary concerns include electricity rate increases borne by residential consumers, water usage for cooling, and low employment density relative to power draw.
  • Construction Cost Inflation and Regulatory Headwinds:
    Average global construction costs are rising at a 6–7% annual rate, reaching $11.3 million per MW in 2026 per JLL forecasts, with AI-optimized hyperscale facilities exceeding $20 million per MW when liquid cooling and advanced electrical systems are factored in. US tariffs on steel, aluminum, and copper are adding 10–15% cost exposure to data center construction relative to other real estate sectors. Regulatory frameworks are also tightening: Georgia has introduced a new "high-impact technological facility" classification requiring early power and water usage disclosures, and the EU is expanding ESG reporting requirements to digital infrastructure assets.

Investment Strategy: Where to Position in a Stratified Market

  • Access the Illiquid Premium Through Development JVs:
    With stabilized asset sales constrained by owner reluctance to sell into a supply-short market, the primary institutional access point is development joint ventures — partnering with experienced data center developers on new greenfield or brownfield projects in power-secured locations. This structure captures development margin and initial lease-up upside while providing the long-duration, inflation-linked income stream that institutional liability profiles require. Pre-leasing at 78–81% of new US supply confirms that demand is contracted well ahead of delivery, reducing lease-up risk substantially versus other development asset classes.
  • Prioritize Power-Secured Sites Over Premium Locations:
    In a power-constrained environment, the traditional real estate hierarchy of location, location, location is replaced by power, power, power. Sites with secured grid connections, private wire renewable generation agreements, or proximity to new gas peaker plants command structural premiums independent of geographic prestige. Investors should screen opportunities by confirmed megawatt allocation before underwriting location quality — a site in Hokkaido with 200 MW secured is categorically more investable than a site in central Tokyo with 20 MW and a four-year interconnection queue.
  • Asia-Pacific Entry Before Institutional Re-Rating:
    Asia-Pacific data centers are trading at a yield premium to North American and European equivalents despite comparable demand fundamentals and superior long-run growth rates. Malaysia, Indonesia, and Japan represent the highest-conviction opportunities for investors who can underwrite emerging market operational risk — particularly as capital recycling through sale-leaseback transactions creates a deal pipeline that does not depend on developers choosing to sell stabilized assets. The CBRE forecast of the APAC market nearly tripling to $94 billion by 2031 represents a structural re-rating catalyst that should compress that yield gap materially over the medium term.

This content is AI-generated and may contain errors. Figures are indicative and subject to change. Do your own due diligence and seek independent legal and financial advice.

Author
Abhii Dabas
Abhii DabasFounder & CEO, INTRIC Global

Abhii Dabas is the Founder and CEO of INTRIC Global, the cross-border property intelligence platform for serious investors. He advises high-net-worth buyers on international real estate strategy and has evaluated residential markets across more than 40 countries.

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