Private Credit and Infrastructure Are Quietly Becoming the Default Way to Fund the AI Buildout

What's New: 

BlackRock Investment Institute's 2026 Midyear Global Outlook, argues that private credit and private infrastructure have moved from portfolio complements to core vehicles for funding the AI buildout, and the headline credit spread data investors watch may be masking that shift entirely. Global private infrastructure data center deals have surged since ChatGPT launched in 2022, based on BlackRock's own transaction chart, yet broad credit indexes still look placid on the surface. BlackRock's real point is that a public bond, a private loan, and a direct infrastructure equity stake can now fund the exact same underlying asset, so investors who only watch labels rather than underlying cash flow are missing where risk and opportunity actually sit. The firm also flags that stress in private credit tends to show up before default rates move, through borrowers waiting on private equity exits and insurers reacting to rating cuts, not through the spread widening most investors are trained to watch.

Why It Matters: 

For GPs, LPs, and the technology platforms serving them, this is a direct signal that reporting and underwriting infrastructure built around traditional asset class silos is falling behind how capital is actually being deployed. BlackRock is effectively telling allocators to underwrite by cash flow, collateral, and recovery value regardless of wrapper, which raises the bar for any data platform, workflow tool, or diligence process that cannot look through a public or private structure to the same underlying risk. Firms that can standardize analysis across public bonds, direct loans, and infrastructure financing stand to capture share from platforms still organized around legacy asset class boundaries.

Big Picture Drivers:

• AI capital intensity: The AI buildout requires power, chips, memory, and data center capacity faster than public markets alone can finance, pushing more of that need into private credit and private infrastructure.

• Scarcity and rates: BlackRock expects higher rates for longer as resource competition dominates any near term AI productivity gains, which raises the value of private credit structures with strong lender protections and recovery value.

• Illiquidity tolerance as the real allocation lever: BlackRock frames private markets exposure not as a fixed target but as a function of an investor's tolerance for illiquidity, scaling from purely public exposure up to meaningful private infrastructure debt and equity positions.

• Hidden stress signals: Perceptions of liquidity mismatches and softer sentiment have already limited capital supply for semi liquid private credit funds at an industry level, even though broad default and spread data still look stable.

• Vehicle choice as investment decision: Once investors start from a theme like AI demand or energy security rather than an asset class label, choosing between public bond, private loan, or direct equity becomes a deliberate part of the strategy, not an afterthought.

By The Numbers:

• 2020 to 2025: The span over which BlackRock's chart shows global private infrastructure data center deals rising sharply, a trend it directly ties to ChatGPT's 2022 launch.

• 1.9% to 3.5%: BlackRock's forecast range for U.S. growth outcomes, the underlying driver of how much capital the AI buildout, and therefore private financing demand, will ultimately require.

• Private credit's risk adjusted yield edge: BlackRock's own chart shows private credit offering more yield per unit of volatility than long term Treasuries, placing it alongside short term Treasuries and local currency emerging market debt as a preferred income source.

• Up to 20%: The illustrative infrastructure allocation BlackRock shows for investors with high illiquidity tolerance for private infrastructure, versus a much smaller implicit exposure for investors unwilling to hold illiquid assets.

• Zero to meaningful private allocation: BlackRock's hypothetical portfolio chart shows deliberate private infrastructure debt and equity exposure rising from essentially nothing to a dominant share of total infrastructure exposure as illiquidity tolerance increases.

Key Trends to Watch:

• Data center financing keeps diversifying: Expect tech company bonds, data center loans, and infrastructure financings to keep sitting in different parts of the same portfolio while relying on identical assumptions about demand, power availability, and refinancing.

• Underwriting discipline over spread watching: BlackRock expects investors to increasingly track cash flow, collateral, and recovery value directly rather than relying on broad spread and index data that can look calm even as risk builds.

• Active management premium in private credit: With wider return dispersion across the AI value chain, BlackRock names selected private credit alongside macro hedge funds and venture capital as a preferred way to express active views.

• Semi liquid fund capital constraints persist: Watch for continued uneven capital supply to semi liquid private credit vehicles as investors stay cautious about liquidity mismatches, even without a broader system wide credit break.

The Wrap: 

BlackRock's core private markets message is that the distinction between public and private capital is becoming less useful for the assets investors actually care about right now, particularly anything tied to the AI buildout. The firm is telling allocators to underwrite by fundamentals rather than by label, and to treat illiquidity tolerance, not asset class targets, as the real lever for private markets exposure. For technology platforms serving this market, the clear implication is that the next competitive edge lies in tools built to underwrite and monitor cash flow and collateral consistently across public and private structures, not in tools still organized around the old asset class map.