Ship-Learn-Next Plan: The Great AI-SaaS Reset¶
Source: 美股 AI 量化分析工具 (YouTube) Theme: Investment Strategy & Market Analysis (SaaS vs. AI)
💡 Core Concept: "The Seat Contraction"¶
The traditional SaaS business model ("Per-Seat Licensing") is breaking. As AI agents replace human roles, companies need fewer software licenses ("seats"). This triggers a "Seat Contraction" where software revenue growth decouples from company growth.
The New Reality: - Old Model: Hire more people → Buy more software seats → SaaS revenue grows. - New Model: Deploy AI Agents → Hire fewer people → Reduce seats → SaaS revenue flatlines/drops.
🔑 Key Insights¶
- The "AI Tax" vs. Real Growth: Much of the projected software spending is just "AI Tax" (price hikes for AI features), not organic growth from new users.
- Pricing Pivot: The only way out for SaaS is shifting from "Per-Seat" to "Per-Outcome" or "Per-Action" billing (e.g., charge per ticket resolved, not per agent logged in).
- The 3 Risk Categories:
- Seat Contraction: (Salesforce, Workday) - Fewer humans needed.
- Moat Erosion: (Adobe, Figma, DocuSign) - AI lowers the barrier to entry or commoditizes the output.
- Efficiency Paradox: (Snowflake, Datadog) - AI makes data/coding so efficient that usage volumes (billing) decrease.
- Hardware Safety: In this transition, hardware/infrastructure ("shovels") is a safer bet than application layer software.
🗺️ The Quest: Build an "AI-Proof" Investment Thesis¶
Goal: Rebalance your investment/product strategy to account for the "Seat Contraction" phenomenon by 2026.
📍 Rep 1: The "Seat Audit" (This Week)¶
Goal: Analyze your current exposure (investment portfolio or company software stack) to "Per-Seat" risks. - [ ] Action: List the top 5 SaaS tools you use or invest in (e.g., Salesforce, Jira, Zoom). - [ ] Action: For each, ask: "If I replaced 50% of my staff with AI agents tomorrow, would I pay this vendor less?" - If YES: It's a "Seat Risk" stock. - If NO: It might be usage-based or outcome-based (Safe). - [ ] Deliverable: A simple "Risk Exposure Table" categorizing your top 5 holdings/tools.
📍 Rep 2: The "Pricing Pivot" Deep Dive¶
Goal: Identify which companies are successfully navigating the transition. - [ ] Action: Research how one "At Risk" company from Rep 1 is changing its pricing. - [ ] Action: Look for keywords like "consumption-based," "tokens," "credits," or "outcome-based pricing" in their latest earnings call or pricing page. - [ ] Deliverable: A one-page memo: "Is [Company X] escaping the Seat Trap?"
📍 Rep 3: "Shovels vs. Gold" Analysis¶
Goal: Compare the value capture between Infrastructure (Hardware) and Application layers. - [ ] Action: Compare the P/E and growth rates of a top hardware stock (e.g., NVIDIA, TSM) vs. a top SaaS stock (e.g., Salesforce, Adobe). - [ ] Action: Map out the "AI Value Chain": Compute → Model → App → Outcome. Identify where the margin is currently sitting. - [ ] Deliverable: A "Capital Allocation Strategy" shifting weight towards the layer capturing the most value.
📍 Rep 4: The "Value Trap" Screen¶
Goal: Identify companies where AI completely commoditizes the core value proposition. - [ ] Action: Screen for companies whose primary value is "manual digital labor" (e.g., manual data entry, manual document signing, basic graphic design). - [ ] Action: Test an AI alternative for one of these tasks (e.g., use Midjourney instead of Stock Photos, or AI contract review instead of a legal SaaS). - [ ] Deliverable: A "Do Not Buy / Sell" list of companies that are essentially "features" in an AI world.
📍 Rep 5: The 2026 Portfolio Strategy¶
Goal: Finalize a forward-looking investment thesis. - [ ] Action: Construct a hypothetical "Long/Short" portfolio. - Long: Hardware, Infrastructure, "Outcome-Based" Platforms, Proprietary Data Owners. - Short/Avoid: Pure "Per-Seat" SaaS, Commoditized Tools, "Wrapper" startups. - [ ] Deliverable: Your personal "2026 AI Investment Thesis" document.
🚀 Commitment¶
Are you betting on the "Landlords of the Past" (Seat Sellers) or the "Builders of the Future" (Outcome Generators)? Start with Rep 1 to find out.