Saas Isn’t Coming Back. Something Much Bigger Is Replacing It

2026-06-22 · Source: Artificial intelligence - Crunchbase News · Field: Business & Management — Entrepreneurship & Start-ups, Corporate Strategy & Leadership, Consulting & Professional Services · Depth: Intermediate, short

Summary

The traditional Software-as-a-Service (SaaS) model, characterized by per-seat subscription pricing and horizontal cloud platforms, is declining due to the rise of AI. A \$300 billion market wipeout in January signals this shift, as AI agents increasingly replace human users in "headless" models, rendering per-seat pricing obsolete. This transition is paving the way for AI-native software, which targets the much larger \$2 trillion white-collar services market. These new solutions adopt usage-based or outcome-based pricing, focusing on performing actual work rather than connecting workflows. While generic horizontal SaaS is vulnerable, defensible positions are emerging for vertical niche specialists built on strong distribution, deep domain expertise, and proprietary data. This new paradigm often incorporates Human-in-the-Loop (HITL) models, integrating human judgment with AI in high-stakes industries like legal and healthcare, creating compounding value through embedded services and accumulated data. This approach taps into a \$6 trillion annual productivity opportunity, far exceeding traditional enterprise software markets.

Key takeaway

For investors evaluating software companies, recognize that the traditional SaaS model's predictability is gone. Your focus should shift from horizontal, per-seat platforms to AI-native vertical specialists. Prioritize firms building proprietary data moats and integrating Human-in-the-Loop services, as these create high switching costs and tap into larger labor and risk budgets. Seek companies that charge for outcomes or usage, not just seats, to capitalize on the significant productivity gains from AI automation.

Key insights

AI-native software, driven by automation and outcome-based pricing, is replacing traditional per-seat SaaS by targeting vertical markets with proprietary data.

Principles

• AI agents disrupt per-seat SaaS pricing.
• Vertical specialization creates defensible moats.
• Proprietary data and domain expertise are key.

Method

AI-native software combines agentic intelligence with human judgment (Human-in-the-Loop) for high-stakes workflows, charging based on work done or outcomes, not per-seat.

In practice

• Focus on vertical-specific solutions.
• Integrate services for deeper client embedding.
• Build proprietary data assets.

Topics

• AI-native Software
• SaaS Business Models
• Vertical AI Applications
• Human-in-the-Loop
• Usage-based Pricing
• Proprietary Data Moats

Best for: Executive, AI Product Manager, Product Manager, Investor, Entrepreneur, Director of AI/ML

Related on AIssential

• Rewriting Your Pitch: SaaS Isn’t Dead, But The Playbook For Founders Is Changing — The SaaS business model is evolving, demanding efficiency, defensibility, and outcome-based value in the AI era.
• The SaaS Value Chain Is Breaking — The human-centric SaaS value chain and its per-seat pricing model are breaking due to evolving operational paradigms.
• AI Applications and Vertical Integration — AI application companies are vertically integrating into either the model or service layer for full-stack operations.
• AI Is Coming For These Industries — AI's increasing usability is driving capital rotation from traditional software to AI-native industries.
• The SaaSpocalypse Continues — AI disruption is fundamentally altering software market valuations and business models, shifting focus from seat-based subscriptions to agent-driven services.
• What CIOs should know about AI-driven SaaS pricing changes — AI integration is driving a fundamental shift in SaaS pricing from subscriptions to usage- or outcome-based models.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial intelligence - Crunchbase News.