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Chronicles

The story behind the story

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Bain says it uses AI coding tools to recreate pieces of target companies' software, making hundreds of rough prototypes in recent years as part of due diligence

Private equity groups swiftly recreate software products to gauge their competitive advantages  —  Private equity investors …

Financial Times Ryan McMorrow

Context & Ripple Effects

Related coverage shows investors already using AI to identify acquisition targets, while software-focused private equity firms are applying it to internal work such as presentations and data aggregation. Bain’s reported use extends that pattern into the technical assessment of a target’s product itself.

This matters against growing concern that AI can weaken the defensibility of SaaS businesses, a major private-equity investment category. Recreating parts of a product gives buyers a more concrete way to test whether apparent software differentiation is durable.

First-order effects

  • Bain’s deal teams can use rough AI-built replicas to assess a target’s features, implementation difficulty, and likely product differentiation during due diligence.
  • Target software companies face more technically informed scrutiny from prospective buyers, beyond conventional financial and market analysis.

Second-order effects

  • Private-equity rivals and advisory firms may need comparable technical-diligence capabilities to avoid evaluating software assets at a disadvantage.
  • SaaS valuations and deal terms may increasingly reflect whether a product’s advantage lies in reproducible features or in harder-to-copy assets such as customer relationships, data, and operating execution.

Third-order effects

  • If this practice spreads, AI could make software underwriting more continuous and product-centric, raising the premium on demonstrable, durable differentiation rather than feature breadth alone.
  • The same tools that lower the cost of evaluating software can underscore AI-driven disruption risk for software portfolios, potentially reshaping which kinds of SaaS assets attract buyout capital.

The trend: AI is moving from a general productivity aid in finance and consulting into core investment judgment, changing how software businesses are screened, valued, and defended.

Discussion

  • @carnage4life Dare Obasanjo on bluesky
    PE firms now have Bain vibe code a software company's product during diligence to see how easy it is to clone.  —  I expect this is useful but only to a point.  Features often aren't the moat.  —  I could vibe code a better product than MyChart.  That doesn't mean I can break int…
  • @pumpcapitalllc @pumpcapitalllc on x
    This is the equivalent of vibe coding a Chase log in screen and claiming you built a bank
  • @chamath Chamath Palihapitiya on x
    Do you think vibing the UI of Google search would even scratch the surface of helping you understand the complexity that sits beneath it?? For what important app would vibe coding a simulation help? Just seems like yet another case of busy work masquerading as tokenmaxxing.
  • Michael Nielsen Michael Nielsen on linkedin
    If vibe-coding consultants can easily reproduce your product/service, where is your moat?  —  Patents can protect the functionality of your software and registered designs can protect the UI. …