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Saved February 14, 2026
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The article examines how AI might disrupt established software companies, particularly in the SaaS sector, by analyzing the transition from product-focused businesses to those resembling stable financial instruments. It discusses the implications of lower entry costs and increased competition, highlighting the risks of maintaining profitability in a rapidly evolving market.
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The article examines the impact of AI on established software companies, particularly within the SaaS (Software as a Service) sector. The author shares insights from a recent opportunity to acquire a mature SaaS business with a strong market presence, emphasizing the importance of long-term viability over short-term market trends. The typical SaaS investment trajectory moves from aggressive growth to a phase resembling a financial instrument, where companies aim for high margins with limited reinvestment. The "rule of 40" serves as a benchmark for balancing growth and profitability, suggesting that a company should combine revenue growth and operating margin to total around 40%.
Vertical Market Software (VMS) exemplifies this model, as it focuses on niche industries and integrates deeply into customer workflows, creating significant switching costs. VMS businesses tend to have predictable revenues, allowing them to operate like annuities. Constellation Software has effectively executed this strategy by acquiring mature VMS firms and optimizing cash flow through disciplined pricing and cost management. However, the landscape is shifting as lower entry costs for new competitors and alternative solutions make it feasible for challengers to enter the market. The author warns that as companies face demands for modernization and enhanced features, the stability of their revenue streams could be jeopardized, leading to more significant reinvestment needs.
The piece also touches on the dynamic nature of industries, using local newspapers as an example of once-stable businesses that faced disruption as the internet changed consumer behavior and advertising dynamics. The author argues that the current discourse on AI's potential to disrupt software is overly simplistic. Instead of asking if customers can replace existing systems with new AI-driven options, the focus should be on whether software can maintain its bond-like characteristics or if it will require more investment and faster operational tempos to sustain profitability.
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