BOTTOM LINE UPFRONT
In this episode, Adam Silverman joins Kyle Roemer to unpack whether AI is fundamentally disrupting the SaaS model, and what that means for private equity investors and their portfolio companies. The takeaway: SaaS isn’t going away, but the rules around defensibility, pricing, and competitive advantage are being rewritten in real time.
Here are five takeaways shaping how PE firms should be driving value creation across their software portfolios today:
1. SaaS isn’t dead, but a split in the SaaS market is happening now
AI isn’t eliminating SaaS, it’s accelerating a clear divide. Winners are leaning into accessibility: agent-ready APIs, machine-readable documentation, and open data connectivity. Laggards are still operating closed systems that limit integration.
For PE-backed software businesses, the question is this: can customers bring best-in-class AI tools directly to the data sitting in your platform?
2. Data accessibility is becoming the moat
Data lock-in used to drive retention. That dynamic is reversing. If customers can’t easily query and activate their own data using AI, that friction is increasingly a reason to leave, not stay. We’re already seeing buyers push for AI access in contracts.
The advantage is shifting to platforms that make data accessible and integration seamless.
3. Regulated verticals offer near-term durability
Horizontal SaaS is more exposed to AI-native disruption. In contrast, regulated industries(legal, healthcare, financial services) have built-in protection through compliance, governance, and security requirements.
For investors, this creates opportunity: companies with established infrastructure and trusted data positions in regulated markets have structural advantages that won’t be easily replicated, even as AI accelerates.
4. Pricing models are evolving alongside usage
Seat-based pricing isn’t going away — but it’s no longer the whole story.
While no one has landed on a definitive answer yet, the experimentation is underway, including usage-based pricing, outcome-based models, and hybrid structures layered on top of seats.
The companies that figure out how to price the value AI creates — efficiency gains, automation, decision support — will have a real advantage. That playbook is still being written.
5. AI adoption requires active enablement
Access to AI isn’t the constraint. Adoption is.
Portfolio companies that aren’t embedding AI into daily workflows across finance, operations, and product are taking on real risk.
For sponsors, this is an execution question: ensure companies have a clear enablement plan, focused on the highest-impact use cases. Start with the tools employees already use every day and identify where an agent layer can drive step-change improvement. The organizations that move early, and deliberately, will be best positioned to capture value.
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