AI Redefines SaaS: A Technological Revolution in Progress

A Declining Model

In the past, investing in the SaaS (Software as a Service) model was synonymous with security and profitability. This subscription-based business model offered revenue predictability due to its ability to adapt and grow based on the number of users. Companies like Salesforce and Workday thrived, generating billions for their investors. However, the advent of artificial intelligence (AI) has disrupted this model. AI agents, which are gradually replacing human users, have introduced so-called "headless" models, thereby disrupting market predictability. In January, a loss of $300 billion in a single session signaled that the traditional SaaS model had reached its peak.

A New Era of Software Innovation

In light of this evolution, investors are retreating from traditional SaaS and seeking to anticipate the next big trend. The three major AI companies are going public with valuations reaching several trillion dollars, paving the way for a new wave of software innovation. These infrastructure platforms are the source of AI-native software that automates and optimizes the $2 trillion office services market. These AI-native software solutions target a much larger opportunity than SaaS has ever claimed. They focus on specialized vertical markets, leveraging proprietary data to deliver unprecedented productivity gains and value creation opportunities. The target markets are centered on highly specialized vertical industries, with varying pricing structures built on proprietary data moats that did not exist five years ago.

The End of User-Based Pricing

Historically, SaaS has always been priced per user. However, this model is collapsing as AI agents take over the majority of tasks. For example, a company that previously required 100 CRM licenses may only need 50 with AI automation. Therefore, tech companies must rethink their pricing strategies, basing them on actual usage or outcomes achieved. For instance, a legal AI platform might charge per contract drafted, while an expense management app could take a percentage of the savings realized. Similarly, a chargeback application might take a commission on the value of the chargebacks it successfully recovers.

A Vulnerability of Horizontal Solutions

Horizontal and generic SaaS solutions are particularly vulnerable in this transformative context. If a product is merely a wrapper around a workflow that AI can manage autonomously, its perceived value diminishes significantly. Categories like form builders, project management platforms, or CRMs for SMEs are at risk of collapsing. In contrast, companies specializing in vertical niches, with strong distribution, domain expertise, and proprietary data, are better positioned to withstand these changes.

Defensible positions now belong to specialists in vertical niches—companies that have built what we call the three "D's": Distribution through a long-standing and recurring customer base, Specialized domain expertise to operate in regulated or complex industries, and Proprietary data that guides decision-making and is closely held by customers, inaccessible to cutting-edge models.

The Importance of Human Relationships

The emerging model for B2B software in the next decade combines software and services, integrating what is known as the "Human-in-the-Loop" (HITL) model. This model pairs artificial intelligence with human expertise in sectors where judgment is crucial, such as law, healthcare, cybersecurity, construction, and financial services. These sectors are characterized by high stakes, regulatory complexity, and contextual judgment. While automation can handle repetitive tasks, certain decisions still require human intervention due to the high risks of errors.

A Market Larger than SaaS

Even by capturing a fraction of the projected $6 trillion annual productivity opportunity identified by McKinsey through AI transformation, the potential far exceeds that of the traditional enterprise software market. AI-native vertical platforms are no longer just targeting technology budgets; they are also addressing workforce, compliance, and risk budgets. This approach significantly expands the potential market and transforms the nature of business partnerships. The true winners will not be the companies that add AI to existing SaaS products or layer on services as an afterthought. They will be those that integrate AI natively into their products, erasing the boundary between software and services, and accumulating value with each customer relationship and data asset.