Private equity entered 2026 with a clearer transaction environment than the prior several years, but with a more demanding return equation. Deal activity and exits improved in 2025, while fundraising remained selective and holding periods stayed complex. The implication is structural: more of the investment case must be created inside the company rather than supplied by falling rates, expanding valuation multiples or fast exits.
That shift increases the value of operating evidence. Sponsors need to understand not only whether a business is attractive, but which initiatives can change earnings quality, cash conversion, competitive position and exit readiness during the hold period. Artificial intelligence can be part of that plan, but only when use cases connect to measurable economics.
01 / A more mature private-equity market
McKinsey’s 2026 private-markets research reported that global private-equity deal value increased in 2025 and that larger buyout and growth transactions rebounded strongly. Bain’s 2026 work similarly described a recovery in deal and exit value while emphasizing that the recovery was uneven and distributions remained constrained. Both point toward a market in which capital is available, but the standards for deploying it have risen.
A more mature market changes the sponsor mindset. The question is less whether private equity can transact and more whether the underwriting case can withstand financing costs, operational complexity and a range of exit environments. Funds with repeatable sector knowledge and operating capabilities may have more ways to create value than those relying predominantly on market beta.
02 / Entry price sets the burden of proof
Higher-quality businesses can justify premium valuations, but the operating plan must support the price paid. If multiple expansion is not available as a base-case assumption, the sponsor must identify where earnings growth, margin improvement, working-capital efficiency or strategic repositioning can create value.
That makes diligence more operational. A compelling market narrative is not enough. Investors need to know which initiatives can be launched early in the hold period, what resources they require, which management capabilities are missing, and how quickly the thesis can produce evidence. Entry valuation should be tested against slower growth, lower exit multiples and higher financing costs rather than only against the sponsor’s target case.
03 / Capital structure becomes a value-creation decision
Leverage is not simply a financing input. It affects strategic flexibility throughout the hold. A highly levered company may have less capacity for acquisitions, technology modernization or temporary operating disruption. Conversely, conservative leverage can reduce equity returns if the business has unusually durable cash flows and substantial debt capacity.
Private-credit markets have increased the range of financing structures available to sponsors, but greater flexibility does not eliminate refinancing risk. Underwriting should examine interest coverage, cash sweeps, covenant headroom, maturity concentration and the amount of enterprise value that depends on future refinancing at favorable terms.
04 / AI moves into the operating thesis
AI is moving from a thematic investment category into the value-creation playbook. For portfolio companies, the relevant questions are concrete: can AI improve lead conversion, pricing, service capacity, software development, procurement, claims processing, underwriting, customer support or retention? What data and systems are required? What controls prevent an automation program from creating compliance, security or quality problems?
The strongest thesis links a use case to a financial mechanism. A model that reduces handling time only matters if capacity, cost or customer outcomes actually change. A sales assistant only matters if pipeline quality and conversion improve. Private-equity owners can gain an advantage when they apply repeatable playbooks across multiple portfolio companies, but that advantage requires operating capability rather than a generic technology mandate.
05 / Technology diligence is now financial diligence
Technology architecture increasingly affects margin, growth and exit risk. Legacy systems can slow product development, increase cybersecurity exposure, constrain data access and make AI initiatives more expensive. Conversely, a modern platform can be overvalued if it depends on costly third-party infrastructure, has weak product retention or lacks a defensible distribution advantage.
New York AI™ treats technology diligence as a bridge between the operating model and the financial model. The review should connect architecture, data quality, security, vendor concentration, cloud and model costs, technical debt and development velocity to cash-flow outcomes. The objective is not to produce a software audit for its own sake; it is to identify where technology changes the investment case.
06 / Value-creation plans need milestones
A long list of initiatives is not a value-creation plan. A useful plan specifies owner, timing, required investment, operating dependency and expected financial mechanism. Sponsors can then distinguish early proof points from long-duration transformation programs.
Examples include price realization by customer segment, sales-force productivity, procurement savings, working-capital release, digital self-service, automation of high-volume workflows, product rationalization and strategic add-on acquisitions. AI initiatives should sit inside the same governance framework rather than being managed as a disconnected innovation program.
07 / Exit readiness starts earlier
Longer holding periods increase the importance of maintaining a credible exit narrative. That means preparing quality-of-earnings evidence, technology architecture, cybersecurity controls, management depth and a measurable record of value-creation initiatives well before a sale process begins.
Exit readiness also requires an understanding of likely buyer groups. A strategic buyer may value synergies, product adjacency or data assets differently from another sponsor. A public-market path requires different governance, reporting and predictability. The earlier those requirements are understood, the easier it is to build the evidence a future buyer or lender will need.
08 / An underwriting framework for 2026
New York AI™ uses seven questions to frame private-equity research:
- Entry — Is valuation supported by durable cash-flow potential under conservative assumptions?
- Capital structure — Is leverage resilient to operating volatility and refinancing risk?
- Operations — Can the plan create value without depending on multiple expansion?
- Technology — Does the technology estate enable or constrain growth, margin and AI adoption?
- Management — Does the organization have the leadership and operating capacity to execute the plan?
- Evidence — Which milestones will demonstrate that value creation is working during the hold?
- Liquidity — Is there a credible exit or recapitalization path under more than one market scenario?
09 / Research conclusion
The private-equity opportunity has not disappeared; the source of returns is changing. In a more mature market, investment discipline and operating execution become more visible. AI can strengthen that model where it is tied to measurable economics, but it cannot substitute for a sound entry price, resilient capital structure or credible path to exit.
The firms best positioned for this environment are likely to combine sector expertise, disciplined underwriting, technology fluency and repeatable operating capabilities. The value-creation plan must be specific enough to manage and measurable enough to survive diligence from the next owner.
10 / Selected references
- McKinsey & Company — Global Private Markets Report 2026
- Bain & Company — Global Private Equity Report 2026
New York AI™ research is provided for general informational and research purposes. Sources are selected for relevance and are subject to revision as markets, technology and underlying data change. Readers should perform their own diligence and consult appropriate professional advisers before making investment or transaction decisions.