Palo Alto CEO: AI Will Restructure SaaS Value Layers
Nikesh Arora, CEO of Palo Alto Networks, pointed out that the market has not effectively differentiated the various types of SaaS in the face of AI impacts, categorizing them into three types: analytical and creative types will be directly impacted and need restructuring; system recording and workflow types need to evolve; infrastructure and cybersecurity types will benefit from AI.
He believes that the current market response to SaaS still shows a "uniform risk pricing," lacking structural differentiation, and this irrational volatility continues to create mismatched opportunities. Related views have sparked discussions in the English investment and technology community.
Several analysis firms have recently reported that the impact of AI on the software industry is not evenly distributed, especially after improvements in automation capabilities, where the moats of some application-layer SaaS are being weakened, while the value of underlying infrastructure is rising.
Source: Public Information
ABAB AI Insight
This definition essentially reconstructs the "profit source structure" of SaaS. Previously, the core value of SaaS came from "software encapsulation processes," but AI is deconstructing this logic—when models can directly perform analysis, generation, and decision-making, the functions of some application-layer software are compressed, leading to a decline in their pricing power.
Arora's three classifications correspond to different replacement risks and pricing power positions. Analytical and creative types are at the forefront, directly exposed to model capabilities, and are the easiest to replace; system recording types possess data and processes, have some stickiness, but need to embed AI to maintain value; infrastructure and security are at the bottom of the tech stack, essential for AI operation, thus demand is amplified.
This reflects the "value sinking" in the technology cycle. When upper-layer applications are standardized or automated, value concentrates towards the underlying infrastructure. This pattern has already emerged in the cloud computing era, and AI is further reinforcing this trend, making computing power, data, and security the new core pricing layers.
The current "uniform decline" in the market indicates that the pricing system has not yet completed its restructuring. Historically, during the early stages of each technological paradigm shift, capital markets first apply an overall discount, then gradually differentiate winners from losers. SaaS is undergoing this phase, ultimately shifting from a "business model premium" to a "technology and data control premium."