Key Takeaways
- • HarbourVest managing director Jeff Keay warns that software secondaries markets are encountering increased difficulty in closing transactions, signaling headwinds in a traditionally active segment of secondary deal flow.
- • The software sector faces bifurcated outcomes: AI-driven innovation will strengthen certain businesses while rendering others obsolete or materially weakened, creating divergent risk profiles for secondary investors.
- • Deal closure challenges in software secondaries reflect broader market dynamics where differentiation between AI-beneficiaries and AI-disrupted companies is becoming critical for pricing and investor appetite.
- • Secondary investors must conduct deeper due diligence on software assets to distinguish sustainable competitive advantages from commoditized or vulnerable business models in an AI-inflected landscape.
Summary
HarbourVest, a leading secondaries-focused investment firm, has identified a significant shift in market conditions for software secondaries, with managing director Jeff Keay noting that deals are becoming materially harder to close. This development marks a notable transition in a market segment that has historically benefited from strong demand and relatively straightforward transaction execution.
The primary driver behind this closure difficulty stems from fundamental divergence in software business trajectories following the acceleration of artificial intelligence innovation. According to Keay's analysis, while certain software businesses positioned to capitalize on AI advances will strengthen their competitive positions and cash generation profiles, others face material obsolescence risk or deteriorating performance as AI-native competitors emerge or existing functionality becomes commoditized through automation.
This bifurcation creates substantial complexity for secondary buyers assessing entry valuations and forward-looking earnings potential. Traditional software secondaries benefited from relatively predictable business models and stable cash flows; the AI inflection point has introduced material uncertainty regarding which categories of software will remain defensible and which will face structural margin compression or customer attrition. Consequently, secondary investors are encountering either elevated price expectations from sellers anchored to pre-AI valuations or reduced buyer appetite for assets without clear AI-adoption narratives or defensible moats.
The commentary from HarbourVest reflects broader institutional skepticism regarding indiscriminate software investments in 2026, suggesting that secondary deal flow will increasingly require granular technical and competitive analysis rather than relying on historical software industry patterns. This environment likely favors secondaries buyers with deep software expertise and willingness to pass on deals lacking compelling differentiation or AI-integration strategies.
The primary driver behind this closure difficulty stems from fundamental divergence in software business trajectories following the acceleration of artificial intelligence innovation. According to Keay's analysis, while certain software businesses positioned to capitalize on AI advances will strengthen their competitive positions and cash generation profiles, others face material obsolescence risk or deteriorating performance as AI-native competitors emerge or existing functionality becomes commoditized through automation.
This bifurcation creates substantial complexity for secondary buyers assessing entry valuations and forward-looking earnings potential. Traditional software secondaries benefited from relatively predictable business models and stable cash flows; the AI inflection point has introduced material uncertainty regarding which categories of software will remain defensible and which will face structural margin compression or customer attrition. Consequently, secondary investors are encountering either elevated price expectations from sellers anchored to pre-AI valuations or reduced buyer appetite for assets without clear AI-adoption narratives or defensible moats.
The commentary from HarbourVest reflects broader institutional skepticism regarding indiscriminate software investments in 2026, suggesting that secondary deal flow will increasingly require granular technical and competitive analysis rather than relying on historical software industry patterns. This environment likely favors secondaries buyers with deep software expertise and willingness to pass on deals lacking compelling differentiation or AI-integration strategies.
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