Private Equity Impact on Child Care

Parents looking for childcare in the United States know how expensive it can be. 

A study authored by Jessica Brown of the University of South Carolina and Chris Herbst of Arizona State University finds no evidence that private equity is the primary reason child care is unaffordable, though an investigation by the U.S. Congress has been underway in 2026 and at least some legislation to regulate PE investments in childcare have been proposed. 

By some estimates eight of the 10 largest childcare providers now are owned by PE firms. 

A study of PE-owned childcare operations in the Netherlands found higher prices (three- to four-percent) but also fewer regulatory infractions, which some will argue suggests higher quality. 

That study also found that PE-owned facilities do not set the pricing strategies for other providers.

 

But private equity investments in childcare are likely to remain an issue, as is the case with PE ownership of other assets with a “social” character, such as health care or veterinary services.

Nvidia Asset-Backed "Securitization" Moves

Nvidia is working with six private equity and financial entities to create a financing mechanism for servers that essentially aims to turn hardware capex into infrastructure. 

Critics will say it is a sign of excess in the artificial intelligence market. Optimists might say the move makes Nvidia-powered AI infrastructure an investable asset class, allowing financing to be made by institutional investors.

Nvidia signed memorandums of understanding with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR. 

The partners will assemble capital pools at rates Nvidia characterized as attractive, with intended beneficiaries spanning frontier AI labs, enterprises, and cloud providers. 

The commercial aim is to enable compute buyers to obtain capacity without showing that “capex” on balance sheets, much as an airline leases aircraft rather than buying planes.

In other words, the mechanism shifts server and compute hardware depreciation schedules to longer-lived categories similar to commercial real estate or toll roads. 

Essentially, the effort aims to effectively securitize compute, functionally if not in a textbook form. 

“Securitization” means a special purpose vehicle pools financial assets such as loans, leases, or receivables, then issues notes whose repayment comes principally from those pooled cash flows. 

There are other similar forms that accomplish the same ends, if not using precisely the same means. 

Structure	What investors finance	Is it securitization?
Equipment-secured loan	GPU servers and sometimes customer contracts	No; it is secured/private credit
Direct infrastructure or project loan	Data center, power, cooling, and network assets	No; it is project finance
SPV ownership plus lease	SPV owns GPUs/data center and leases compute capacity to an operator	Not automatically
Sale-leaseback	A sponsor sells assets to an SPV and leases them back	Not automatically
Asset-Backed Securities (ABS) and Commercial Mortgage-Backed Securities (CMBS)	Pool of GPU leases, compute receivables, data-center loans, or tenant leases	Yes, or close economic analogy

The model resembles aircraft-lease or equipment forms of asset-backed securities, where: a bankruptcy-remote vehicle owns equipment and receives contractual lease or service payments. 

Equipment ABS also have been used to finance shipping, and rail assets as well. 

That, in turn, will help customers access scarce compute at scale by moving such compute capabilities off the balance sheet, in principle alleviating investor concern about the timing of AI capital expenditure and near-term financial returns.

Virtually Nobody Believes in Completely-Unfettered Free Markets: the Issue is When to Intervene

There are lots of reasons why private equity investment in healthcare, child care, nursing homes or veterinary medicine is not much different than private equity in any other industry. PE normally looks for investment opportunities in industries and firms that are fragmented, mismanaged in some way, with room to grow and often featuring steady cash flow. 

The question is whether the financial structure and investment horizon of private equity ownership are well suited to organizations whose primary outputs include public goods such as health, safety, education, or care for vulnerable populations.

This seems to be another instance where we might encounter the idea of free markets needing a bit of management.

In such firms and industries, the concern is that firms may reduce staff, lower safety standards, or limit care to boost profit. 

Also, prices often rise for patients, students, or tenants after a buyout.

In other cases, the concern is a loss of local focus, as decisions move from local leaders to distant corporate offices.

Nursing homes and low-income clinics often face high risks of neglect because heavy debt loads push cash flow to debt service rather than customer care. 

So hospitals and nursing homes see debates over staffing levels and patient outcomes.

In housing markets rent increases and tenant displacement are issues. In education or child care, issues often include firms prioritizing fees over learning tools.

One study spanning eight countries, but 85 percent focused on the United States. Of the 55 cases, nursing homes were the most commonly studied healthcare setting. The analysis included:

• Nursing homes (17)

• Hospitals (9)

• dermatology (9)

• ophthalmology (7)

• multiple specialties or general physician groups (5)

• urology (4)

• gastroenterology (3)

• orthopedics (3)

• surgical centers (2)

• Fertility (2)

• obstetrics and gynecology (2)

• Anesthesia (1)

• hospice care (1)

• oral or maxillofacial surgery (1)

• Otolaryngology (1)

• plastics (1). 

As you might expect, given PE outcomes in other industries, “PE ownership was most consistently associated with increases in costs to patients or payers,” the study found.

“Additionally, PE ownership was associated with mixed to harmful impacts on quality,” the report says. In some instances, PE ownership was associated with reduced nurse staffing levels or a shift towards lower nursing skill mix.

“Health outcomes showed both beneficial and harmful results, as did costs to operators, but the volume of studies for these outcomes was too low for conclusive interpretation,” the authors conclude.

source: Burch et al 

“No consistently beneficial impacts of PE ownership were identified,” the study suggests. 

That is not to argue for barring PE involvement, but many observers might agree some limits might be desirable.

Private equity typically seeks to create value over a relatively short investment horizon (often three to seven years). 

The concern might be whether some of these financial tools create incentives that conflict with long-term service quality in some industries perceived to have social value with a public character. 

The PE playbook is fairly clear: restructure a business to create higher marketplace value. 

PE practice	Potential business benefit	Possible social concern
Reduce labor costs	Higher margins	Lower staffing ratios
Replace senior staff	Lower payroll	Loss of experience
Centralize purchasing	Lower costs	Lower flexibility or quality
Increase debt	Higher investor returns	Less financial resilience
Sale-leaseback of real estate	Unlock capital	Higher fixed operating costs
Roll-up acquisitions	Economies of scale	Reduced local competition
Aggressive billing	Higher revenue	Higher costs for patients or insurers
Short holding period	Faster capital recycling	Less investment in long-term quality

The key issue is that many quality investments—training, staffing, preventive maintenance, or workforce retention—generate returns over many years, while PE investors often realize returns much sooner.

Among all sectors, nursing homes have been studied most extensively, and there is some evidence of less-desirable outcomes. 

Multiple peer-reviewed studies have found associations between PE ownership and:

• higher hospitalization rates

• higher emergency department use

• increased deficiencies cited by regulators

• reduced staffing levels or changes in staffing mix

• higher mortality in some studies.

At the same time, some studies found little change in certain clinical processes, and a minority found no measurable decline in quality. Overall, recent systematic reviews conclude that the balance of evidence points toward mixed but generally less favorable quality outcomes after PE acquisition. (BMJ)

This does not mean every PE-owned nursing home performs poorly. Rather, ownership structure appears to influence average outcomes across large samples.

Evidence remains mixed across specialties, but systematic reviews generally find that PE ownership is often associated with higher costs, while quality effects vary by sector and study.

Is Mark Cuban Right About Employee Stock Ownership?

Mark Cuban is a creative guy. To help reduce wealth inequality, he advocates that private firms give every employee stock, for example. 

To be sure, it is not a panacea. Employee ownership in retail, hospitality, and gig work would be difficult, for example. 

Still, the evidence suggests employee equity ownership plans have had measurable but generally modest success at reducing wealth inequality, particularly within participating firms and among middle-income workers. 

Research demonstrates that broad-based equity distribution serves as a powerful driver of wealth accumulation for low- and middle-income workers:

Capital Asset Accumulation: Studies from the National Center for Employee Ownership suggests that workers participating in employee stock ownership plans accumulate substantially higher median net worth (often 90 percent or higher) compared to non-employee-owners in similar industries.

IZA World of Labor (Kruse, 2016) suggests that employee ownership disproportionately benefits female and minority workers as well.

They have not, by themselves, substantially reduced wealth inequality across entire societies, because participation is often limited to certain employers, ownership stakes are typically modest, and broader drivers of wealth concentration (housing, inheritances, business ownership, and financial assets) remain dominant.

Still, equity participation likely would help reduce wealth inequality.  

Observers might argue that relatively low wealth inequality in Nordic nations, compared with many developed nations, is not primarily due to employee ownership, however. 

The outcomes are shaped by:

• strong labor unions

• progressive taxation

• universal public services

• pension systems

• high employment

• capital taxation (historically)

Employee ownership exists but is not the principal equalizing mechanism.

And there are practical issues beyond the limited number of firms that might reasonably be expected to support such policies:

• Employees may have too much wealth tied to one company. If the firm fails, workers can lose both jobs and retirement savings.

• Stock compensation programs need to be broad-based.

• Even generous employee ownership usually represents a modest fraction of total national wealth compared with:

• inherited wealth

• real estate

• privately owned businesses

• financial portfolios

So measures to broaden ownership potential in those areas also matters greatly. 

In practice, countries with relatively low inequality often combine multiple policies:

• broad-based employee ownership

• progressive taxation

• education equity

• pensions

• social insurance. 

Evidence suggests employee ownership is a useful complement to these policies rather than a standalone solution. 

But Cuban is on to something. Broad employee participation in equity ownership can help reduce some amount of wealth inequality.

AI Infra Financing Gets Creative

Financing of AI infrastructure has evolved into a complex, multi-layered financial architecture that extends well beyond traditional corporate balance sheets. 

External financing structures include:

• Strategic partnerships: Frontier model labs and hyperscalers are forming partnerships for regional development, power infrastructure, and equity contributions

• Public sector and sovereign support

• Captive markets: In some instances, state-owned enterprises or governments direct domestic demand toward local chip manufacturers.

Financing Model	Description	Example / Context	Source
Structured/Off-Balance Sheet	Using infrastructure funds and private credit to distribute risk across a layered set of claims.	General industry shift toward using private credit and structured vehicles to fund data center buildouts.	BIS
Community-First Partnerships	Joint commitments between developers and providers to share infrastructure costs and regional responsibilities.	Microsoft's "Community-First AI Infrastructure" plan and OpenAI's "Stargate Community" initiative.	HKS
National Sovereign Investment	Coordinating investments in data, compute, and algorithms through sovereign-backed frameworks.	Frameworks for "AI Triads" in low-to-middle-income countries using structured funding tranches.	Oxford
Captive Market Funding	Generating revenues through domestic mandated demand to fund internal R&D cycles.	Huawei’s AI chip revenue generation within the Chinese domestic ecosystem.	Bruegel

In many instances, the intent is to reduce capital investment requirements by moving to off balance sheet vehicles or “compute as payment” arrangements.

Hyperscaler	Model Supplier	Deal Type / Structure	Estimated Value / Capacity	Source
Google	Anthropic	Multi-year compute commitment + Equity investment	Up to $40B investment; 3.5GW TPU capacity (via Broadcom)	Silicon Republic
Amazon (AWS)	Anthropic	Compute credit + Equity investment	Up to $25B total commitment; multi-year cloud compute	Silicon Republic
Microsoft	OpenAI	Exclusive cloud provider + Multi-stage capital injection	~$10B+ in multi-year funding; 49% profit stake	Aranca
Meta	N/A (Self-build)	Structured finance (SPV) for data center buildout	~$30B "Hyperion" SPV (Blue Owl Capital led)	SoftwareSeni
Google/Anthropic	SpaceX	Compute infrastructure delivery contracts	Potentially >$70B over multi-year term	AA

As seen with Meta’s "Hyperion" transaction, hyperscalers are increasingly utilizing Special Purpose Vehicles (SPVs) and partnerships with private credit firms (e.g., Blue Owl Capital) to fund massive data center buildouts. This allows the companies to offload the capital intensity of the physical build while retaining operational control and capacity priority.

In many of these deals, "compute" has become a literal form of payment. The Google-Anthropic and Amazon-Anthropic deals are not merely cash-for-equity; they are deeply intertwined with multi-gigawatt (GW) capacity commitments and customized hardware access (such as Google’s TPUs).

Financing is no longer focused just on chips. The capital is increasingly directed toward the "AI Triad"—the integration of compute, dedicated energy infrastructure, and data center physical shells. This is evidenced by the trend of co-locating data centers with renewable energy sources and the invocation of national defense acts (as seen in the U.S. in early 2026) to prioritize grid expansion for AI.