減倉半導體,換倉到 SAAS(今天大跌)。Gemini 給出下列受 AI 影響不大的SAAS

來源: 2026-05-13 12:26:20 [博客] [舊帖] [給我悄悄話] 本文已被閱讀:

1. Systems of Record & High-Governance Verticals

Products that serve as a company’s "Single Source of Truth" are historically difficult to displace because they involve deep workflow ownership, legal compliance, and data integrity.

  • Healthcare & Clinical Trials: SaaS like Medidata (clinical trial randomization) or Epic (Electronic Health Records) are protected by massive regulatory and certification barriers.

  • Critical Infrastructure & Security: Companies like Qualys (vulnerability management) are resilient because remediation requires a level of accountability and "trust" that generic AI agents cannot yet assume.

  • Construction & Engineering: Platforms like Procore manage complex, physical-world project accounting and on-site logistics where human judgment and physical verification remain central.

2. Proprietary Data "Moats"

SaaS companies that own unique, continuously refreshed datasets that aren't available in the public LLM training sets are effectively shielded.

  • Vertical SaaS: Industry-specific software (e.g., Guidewire for insurance claims) often uses proprietary rules and historical data to automate workflows.

  • Observability & Monitoring: Dynatrace and Cloudflare are seen as enablers rather than victims. As AI workloads increase, the need for infrastructure monitoring and security actually grows.

3. Collaboration & Multi-Player Workspaces

Software that functions as a "trusted environment" for human collaboration is less likely to be replaced by a solo AI agent.

  • Core Productivity: Microsoft Office and Google Workspace are not just editors; they are governance and review layers. While AI can draft the content, the platform remains the indispensable space for human review and final decision-making.

  • Communication Platforms: Tools like Zoom and Slack facilitate real-time human connection. AI may summarize a meeting, but it doesn't replace the need for the live call itself.

4. Characteristics of "AI-Resilient" Software

When evaluating companies, look for these three protective traits:

Trait Why it resists AI Examples
High Liability Errors result in massive financial or physical harm. Payroll (ADP), Medical (Doximity)
Workflow Friction Deeply embedded in an organization's specific, messy ops. ERP systems, Specialized Logistics
Complex Integrations Acts as the "glue" between dozens of other apps. Salesforce (CRM), ServiceNow