Key Takeaways
- • Private equity investors are systematically shifting capital away from asset-light, software-driven businesses toward companies with physical infrastructure, operational complexity, and embedded demand—a fundamental reallocation driven by AI's ability to rapidly compress competitive differentiation in technology-enabled models.
- • HALO-type businesses (heavy assets, low obsolescence) are commanding a new premium in the lower middle market, as PE buyers recognize that the speed and flexibility that once defined attractive software investments now expose those companies to faster replication and competitive displacement via AI tools.
- • AI tools have dramatically shortened product development cycles in technology sectors, reducing barriers to entry from years of development to months or weeks, forcing PE firms to reassess long-held assumptions about which business models offer durable competitive advantage and resilience.
- • According to Align Business Advisory Services CEO Dena Jalbert, the trend reflects a broad recalibration across dealmaking where rapid AI advancement is compelling investors to pivot from growth-at-scale narratives toward businesses harder to replicate through technological means.
- • PE exit activity has slowed in early 2026 as AI-driven volatility, geopolitical tensions, and valuation uncertainty weigh on traditional exit routes including IPOs and strategic sales, compounding pressure on fund performance and LP distributions.
Summary
Private equity firms are executing a significant strategic pivot away from the asset-light, software-centric investment thesis that dominated dealmaking for the past decade. The shift is particularly pronounced in the lower middle market, where buyers are reassessing portfolio durability in light of artificial intelligence's accelerating impact on competitive advantage. Rather than chasing rapid scaling through software and technology-enabled business models, PE investors are increasingly targeting companies anchored by physical infrastructure, operational depth, and embedded customer demand—characteristics that prove harder to disrupt or replicate through AI-driven competition.
The fundamental driver of this reallocation is the dramatic compression of technological barriers that once protected software and tech-enabled businesses from competitive threats. Where product development once required years of investment and specialized talent, AI tools now enable competitors to build functionally equivalent offerings in months or even weeks. This acceleration has eroded the moat that made asset-light, high-growth software companies attractive to PE buyers. Dena Jalbert, Chief Executive of Align Business Advisory Services, characterized the shift as "a reaction to the uncertainty around how quickly AI is compressing differentiation in software and tech-enabled models," noting that HALO-type businesses—defined by heavy assets and low obsolescence—now command a premium valuation relative to traditional growth plays.
The macroeconomic backdrop reinforces this strategic realignment. Private equity exit volumes have contracted sharply in early 2026 as AI-driven volatility and geopolitical tensions create headwinds for traditional liquidity events. IPOs and strategic sales—historically the primary exit mechanisms for PE portfolios—face significant bottlenecks. This combination of heightened valuation uncertainty and constrained exit pathways has intensified focus on portfolio resilience, making businesses with predictable cash flows and structural competitive advantages increasingly attractive relative to high-growth, high-risk technology investments.
The broader message to limited partners and portfolio managers is clear: the age of software-driven, capital-light scaling within private equity is giving way to a renewed emphasis on operational resilience and technological defensibility. Investors who built positions in technology-enabled and data-driven firms now face the dual challenge of compressed time-to-replication in their portfolios and constrained exit opportunities. For GPs seeking fresh capital deployment, the investment case increasingly revolves around businesses where physical assets, regulatory requirements, embedded customer relationships, and operational complexity create durable competitive moats that AI disruption cannot easily penetrate.
The fundamental driver of this reallocation is the dramatic compression of technological barriers that once protected software and tech-enabled businesses from competitive threats. Where product development once required years of investment and specialized talent, AI tools now enable competitors to build functionally equivalent offerings in months or even weeks. This acceleration has eroded the moat that made asset-light, high-growth software companies attractive to PE buyers. Dena Jalbert, Chief Executive of Align Business Advisory Services, characterized the shift as "a reaction to the uncertainty around how quickly AI is compressing differentiation in software and tech-enabled models," noting that HALO-type businesses—defined by heavy assets and low obsolescence—now command a premium valuation relative to traditional growth plays.
The macroeconomic backdrop reinforces this strategic realignment. Private equity exit volumes have contracted sharply in early 2026 as AI-driven volatility and geopolitical tensions create headwinds for traditional liquidity events. IPOs and strategic sales—historically the primary exit mechanisms for PE portfolios—face significant bottlenecks. This combination of heightened valuation uncertainty and constrained exit pathways has intensified focus on portfolio resilience, making businesses with predictable cash flows and structural competitive advantages increasingly attractive relative to high-growth, high-risk technology investments.
The broader message to limited partners and portfolio managers is clear: the age of software-driven, capital-light scaling within private equity is giving way to a renewed emphasis on operational resilience and technological defensibility. Investors who built positions in technology-enabled and data-driven firms now face the dual challenge of compressed time-to-replication in their portfolios and constrained exit opportunities. For GPs seeking fresh capital deployment, the investment case increasingly revolves around businesses where physical assets, regulatory requirements, embedded customer relationships, and operational complexity create durable competitive moats that AI disruption cannot easily penetrate.
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