There’s ONLY 5 Ways to Use AI in SaaS (Prove Me Wrong)
•October 12, 2025
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Why It Matters
The framework helps SaaS leaders prioritize where AI adds genuine strategic value versus where it’s a short-lived or risky enhancement, shaping product roadmaps, go-to-market strategy, and engineering investments. Understanding these trade-offs can prevent wasted spend, vendor lock-in, and competitive surprises as AI capabilities rapidly evolve.
Summary
The presenter argues founders should focus on using AI the right way, not just using more of it, and outlines a framework of five distinct AI use cases for SaaS. He details three categories—AI as the core product, AI as a feature, and AI to speed product development—using concrete examples and enumerating upside (market leadership, pricing power, faster velocity) and primary risks (commoditization, platform dependency, quality, cost, security, and technical debt). Practical trade-offs are highlighted: AI-core businesses face capital and platform risks, feature-driven AI can boost retention but is easily copied, and developer-facing AI can accelerate shipping while introducing subtle bugs and over-reliance. The talk is aimed at helping founders map their AI efforts to appropriate risk-reward profiles and avoid common pitfalls.
Original Description
Every founder is asking the same question: “Am I falling behind on AI?”
In this video, Rob Walling breaks down the five ways startups are using AI and which ones actually work. He covers everything from using AI as your core product to leveraging it for growth and operations, including real-world examples from SaaS founders.
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