Stop Trying to Replace Your SaaS Products with AI (2024) (staysaasy.com)

AI hype is making some CTOs attempt to replace mature SaaS products with in‑house systems “built with AI,” but this cautionary piece shows why that’s usually a bad bet. Through a telling “CTO Bob” example, it shows the math and operational pitfalls: dedicating $400k+ of headcount to replace a $200k SaaS contract, spinning up databases, hosting, auth and business logic, and relying on two mid-level engineers who can prototype features but can’t shoulder 24/7 on‑call, debug complex Postgres incidents, or keep pace with vendor feature roadmaps. The result is long cycles to reach parity, frequent outages, churn on the tiny support team, and eventual higher total cost of ownership — compounded when the vendor optimizes pricing and releases new features faster because they have scale and many customers. Technically, the article argues AI is great for demos and accelerating internal product dev, but not a substitute for the full lifecycle of production software: observability, incident response, scalability, security, and continuous feature development. The practical rule: only consider replacing SaaS if you’re FAANG‑sized or the task truly is trivial (e.g., replaceable by a spreadsheet). A related warning: chasing cheaper, lower‑quality vendors to save 30–40% often costs far more in migration, time, and lost competitive momentum than the headline savings. Use AI to enhance your core product and procurement strategy — don’t let it justify rebuilding mature SaaS stacks.