Best of LinkedIn: Private Equity Insights CW 18/19 2026

Private equity discussion over the selected two weeks centered on a clear shift from leverage-led returns to execution-led value creation. AI remained the dominant transformation theme, but the strongest signals focused less on experimentation and more on deployment discipline, leadership quality, exit readiness, liquidity pressure, and portfolio operating infrastructure.

Date

May 12, 2026

Private Equity Insights

Thomas Allgeyer

Methodology: Every two weeks we collect most relevant posts on LinkedIn for selected topics and create an overall summary only based on these posts. If you´re interested in the single posts behind, you can find them here: https://linktr.ee/thomasallgeyer. Have a great read!

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PE Operating Shift

Private equity discussion centered on a clear move from leverage-led returns toward execution-led value creation
Operating discipline, leadership quality, and measurable transformation emerged as the core differentiators
AI remained the strongest transformation theme, but the emphasis shifted from experimentation to deployment quality
Liquidity pressure continued to shape the market, driving stronger focus on exits, secondaries, continuation funds, and structured capital

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AI Deployment

AI moved from concept to portfolio priority, with use cases across diligence, pricing, revenue acceleration, workflow automation, and deal sourcing
The strongest signal was pragmatic execution, where AI only creates value with clean data, redesigned workflows, and clear EBITDA linkage
OpenAI’s DeployCo was framed as a practical response to the AI deployment gap in PE portfolio companies
Anthropic and Goldman Sachs highlighted a hands-on deployment model by embedding AI engineers directly into portfolio company workflows

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Value Creation

Value creation shifted from broad cost-cutting toward stronger operating models, better sequencing, and sharper management accountability
Go-to-market improvement was framed as a sequencing challenge, where too many initiatives can weaken execution quality
Portfolio visibility remained a recurring pain point, especially when firms pay premium multiples without sufficient post-close transparency
Culture, talent, leadership, and organizational design were treated as measurable drivers of exit readiness

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Liquidity & Exits

Exit pressure remained a defining market constraint, with mature assets requiring alternative liquidity routes
Continuation funds, secondaries, NAV lending, and structured SPVs gained relevance as traditional exit channels stayed constrained
Ardian was highlighted as an active secondary-market liquidity provider to Canadian pension plans
Allegro’s shareholder structure showed continued exit progression as Cinven advanced through a multi-year divestment path

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Deal Themes

DACH mid-market activity remained visible across energy, certification, cybersecurity, marketing, and manufacturing
TIC and certification assets stood out due to regulation-driven recurring revenue and resilient demand
Accounting firms were framed as entering a new PE ownership cycle, suggesting structural change in professional services
Growth software attracted more caution, with AI disruption, weaker customer growth, and aggressive cost-cutting pressure affecting asset quality

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Leadership & Talent

CFO quality emerged as a critical post-close value driver, especially in mid-market companies with limited finance maturity
PE-backed companies need leaders who convert data into board-ready decisions, not only dashboards and reporting packs
CHROs were positioned as direct value creation contributors through leadership alignment, incentive design, and execution discipline
Founder teams entering PE deals need early clarity on equity rollovers, governance rights, and good-leaver terms

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Capital Allocation

Wealthy investors showed more caution toward PE funds amid valuation pressure and credit quality concerns
Co-investments continued to broaden access to institutional-grade private markets
European private capital was positioned as a real-economy growth engine through company support, investment, and job creation
European and Asian mid-market assets remained attractive due to fragmented markets and operational value creation potential

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Partnerships & Platforms

Le Comptoir du Private Equity partnered with GP-Score to strengthen PE manager selection and portfolio assessment
Tikehau Capital expanded its energy transition strategy in Asia-Pacific through a Japanese joint venture
KKR Academy in Hong Kong served as a private markets learning platform across PE, private credit, infrastructure, and macro themes
AI Pathfinder’s Private AI Strategy Breakfast positioned agentic AI as a workflow redesign topic rather than a tooling upgrade

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Strategic Takeaways

Private equity’s current narrative is less about capital availability and more about credible operating proof
AI is becoming central to PE strategy, but value depends on implementation quality, diligence depth, and measurable financial impact
Liquidity pressure is forcing earlier exit preparation and stronger use of secondary and structured capital solutions
The winning PE playbook is shifting from buying well to operating deeply, building capabilities, and proving value before exit processes begin

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Frequently asked questions

How are private equity returns being generated now?

Through execution, not leverage. Operating discipline, leadership quality and measurable transformation are the core differentiators. AI remains the main transformation theme, but the focus has shifted to deployment quality with clean data, redesigned workflows and clear EBITDA linkage. The playbook is moving from buying well to operating deeply.

How are PE firms finding liquidity when exits stall?

Through alternative routes. Continuation funds, secondaries, NAV lending and structured SPVs gain relevance while traditional exits stay constrained. Ardian was active as a secondary-market liquidity provider to Canadian pension plans, and Cinven continued a multi-year divestment path in Allegro. Wealthy investors are more cautious toward PE funds.

How are AI labs helping PE portfolio companies deploy AI?

By embedding engineers in the business. OpenAI's DeployCo was framed as a response to the AI deployment gap in portfolio companies. Anthropic and Goldman Sachs highlighted a hands-on model with AI engineers placed directly into portfolio workflows. Use cases span diligence, pricing, revenue acceleration, workflow automation and deal sourcing.