AI turns code into a utility but moats into the new battleground.

Public markets are torching SaaS valuations on the fear that AI makes software free and interchangeable. That panic overlooks how durability was always uneven. The eight-mode framework—proprietary data, workflow embedding, regulatory moats, exclusive distribution, ecosystems, network effects, physical infrastructure, scale economies—separates survivors from casualties. Score four or higher and a company stays secure; anything lower invites clones as data portability collapses switching costs in one to two years.

Pure-play software sits on the shakiest ground. It must shift from UI and features to agentic workflows that embed deeper, fine-tune on exclusive data, and commoditize complements while charging for outcomes instead. Salesforce scraping by on three modes needs this pivot now. Atlassian at three looks stronger but still has work. Fintech survives through actual money movement, physical AI through atoms that models cant instantly replicate.

This mirrors past rotations: asset-light SaaS in the 2010s gave way to capex-heavy compute, now bleeding into robotics and infrastructure. Capital flees overstretched software for labor-scarce verticals where integration across enterprise systems resists easy replication. Historical parallels like early DoorDash or Spotify prove margins improve when proprietary density compounds faster than AI can copy it.

Brand barely registers in rational B2B buying; founder-level buybacks signal real conviction where corporate ones look performative. The overreaction paints every vendor red, yet winners simply compound data and deepen workflows while laggards get pixel-perfect imitations.

**Bottomline**: AI doesnt kill software; it forces an explicit scorecard where everything below four modes becomes infrastructure for someone elses moat.

kenoodl.com | @kenoodl on X