Key Takeaways
- • Transparency deficit is the root cause of private markets dysfunction: Liquidity pressure, uneven valuations, and emerging private credit stress all stem from insufficient visibility into portfolio holdings, with 53% of institutional asset owners citing liquidity and pacing management as their single biggest pressure point.
- • Infrastructure has failed to scale with asset class growth: MSCI Head of Private Assets Luke Flemmer stated directly that "the asset class works" but "the infrastructure supporting it has not kept pace with its scale," highlighting a systemic gap between market expansion and operational capability.
- • Fundraising environment deteriorating significantly: Brenda Rainey, EVP Private Equity at Bain & Company, characterized current conditions as "the hardest fundraising environment in the history of this industry," with slower distributions, continued capital calls, and valuation uncertainty compounding challenges for both LPs and GPs.
- • Total portfolio management requires foundational data improvements: Asset owners cannot effectively manage public and private assets together without knowing what they own, current valuations, and where risk concentrates—a prerequisite for any AI-driven insight initiatives.
- • AI effectiveness depends on data quality: Consistent, reliable data infrastructure must precede AI deployment; without standardized transparency, AI tools cannot meaningfully improve private market insight and decision-making.
Summary
Private asset managers and institutional investors face a critical inflection point: the explosive growth of private markets has outpaced the transparency infrastructure required to manage them responsibly. At MSCI's inaugural Private Assets Summit in Phoenix on May 6, 2026, more than 160 senior investment and operations leaders from institutional and private wealth limited partners converged on three central questions: how transparency deficits affect liquidity and valuations, whether artificial intelligence can render private market data usable, and what structural changes are necessary to establish a true total portfolio view.
The evidence of strain is unmistakable. Liquidity has become the clearest pressure point, with slower distributions, ongoing capital calls, and uncertainty around valuations making investment pacing and portfolio management considerably more difficult for LPs while simultaneously complicating fundraising for general partners. The breadth of concern was quantified in a conference poll showing that 53% of attendees identified liquidity and pacing management as their single greatest pressure. Brenda Rainey of Bain & Company elevated the urgency by characterizing current fundraising conditions as "the hardest fundraising environment in the history of this industry," signaling that operational challenges are directly constraining capital formation.
The underlying diagnosis offered by MSCI leadership frames the problem not as a timing issue but as a structural one. Luke Flemmer, MSCI's Head of Private Assets, articulated the paradox plainly: "The asset class works. But the infrastructure supporting it has not kept pace with its scale." This statement encapsulates a fundamental mismatch between the size and complexity of private capital allocations and the systems designed to track, value, and report on them. Transparency gaps breed confidence erosion in valuations and create cascading doubts about risk exposure, particularly as emerging stress in private credit markets compounds existing concerns.
MSCI's Chief Research & Development Officer Ashley Lester reframed liquidity problems away from cyclical timing toward structural causation, emphasizing that solutions require foundational improvements in data consistency and reliability. Before institutional investors can deploy artificial intelligence to generate superior private market insights or integrate public and private portfolios into a coherent total-return strategy, they must first establish basic visibility: what they own, what those investments are worth, and where risk actually concentrates. Without standardized transparency mechanisms and reliable data infrastructure, AI tools risk becoming sophisticated analytical systems operating on an unstable foundation.
The consensus emerging from senior institutional and wealth management leaders reflects a market inflection: private markets' continued expansion as an asset class is contingent on infrastructure development that matches scale. The path forward requires coordination between asset owners and managers on transparency standards, data quality, and reporting mechanisms that enable both disciplined LP decision-making and realistic GP fundraising.
The evidence of strain is unmistakable. Liquidity has become the clearest pressure point, with slower distributions, ongoing capital calls, and uncertainty around valuations making investment pacing and portfolio management considerably more difficult for LPs while simultaneously complicating fundraising for general partners. The breadth of concern was quantified in a conference poll showing that 53% of attendees identified liquidity and pacing management as their single greatest pressure. Brenda Rainey of Bain & Company elevated the urgency by characterizing current fundraising conditions as "the hardest fundraising environment in the history of this industry," signaling that operational challenges are directly constraining capital formation.
The underlying diagnosis offered by MSCI leadership frames the problem not as a timing issue but as a structural one. Luke Flemmer, MSCI's Head of Private Assets, articulated the paradox plainly: "The asset class works. But the infrastructure supporting it has not kept pace with its scale." This statement encapsulates a fundamental mismatch between the size and complexity of private capital allocations and the systems designed to track, value, and report on them. Transparency gaps breed confidence erosion in valuations and create cascading doubts about risk exposure, particularly as emerging stress in private credit markets compounds existing concerns.
MSCI's Chief Research & Development Officer Ashley Lester reframed liquidity problems away from cyclical timing toward structural causation, emphasizing that solutions require foundational improvements in data consistency and reliability. Before institutional investors can deploy artificial intelligence to generate superior private market insights or integrate public and private portfolios into a coherent total-return strategy, they must first establish basic visibility: what they own, what those investments are worth, and where risk actually concentrates. Without standardized transparency mechanisms and reliable data infrastructure, AI tools risk becoming sophisticated analytical systems operating on an unstable foundation.
The consensus emerging from senior institutional and wealth management leaders reflects a market inflection: private markets' continued expansion as an asset class is contingent on infrastructure development that matches scale. The path forward requires coordination between asset owners and managers on transparency standards, data quality, and reporting mechanisms that enable both disciplined LP decision-making and realistic GP fundraising.
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