Wilkinson argues that the traditional moat for software—the high cost and difficulty of hiring programmers—has vanished. He compares it to a machine that makes perfect pizza cheaply: consumer quality rises, but business margins plummet. Lasting value must now come from other sources like brand or distribution.

With AI commoditizing the tech stack, traditional technical moats are disappearing. The only sustainable differentiator at the application layer is having a unique insight into a problem and assembling a team that can out-iterate everyone else. Your long-term defensibility becomes customer love built through relentless execution.

The historical advantage of being first to market has evaporated. It once took years for large companies to clone a successful startup, but AI development tools now enable clones to be built in weeks. This accelerates commoditization, meaning a company's competitive edge is now measured in months, not years, demanding a much faster pace of innovation.

When asked if AI commoditizes software, Bravo argues that durable moats aren't just code, which can be replicated. They are the deep understanding of customer processes and the ability to service them. This involves re-engineering organizations, not just deploying a product.

As AI and better tools commoditize software creation, traditional technology moats are shrinking. The new defensible advantages are forms of liquidity: aggregated data, marketplace activity, or social interactions. These network effects are harder for competitors to replicate than code or features.

The long-held belief that a complex codebase provides a durable competitive advantage is becoming obsolete due to AI. As software becomes easier to replicate, defensibility shifts away from the technology itself and back toward classic business moats like network effects, brand reputation, and deep industry integration.

AI doesn't kill all software; it bifurcates the market. Companies with strong moats like distribution, proprietary data, and enterprise lock-in will thrive by integrating AI. However, companies whose only advantage was their software code will be wiped out as AI makes the code itself a commodity. The moat is no longer the software.

The lucrative maintenance and migration revenue streams for enterprise SaaS, which constitute up to 90% of software dollars, are under threat. AI agents and new systems are poised to aggressively shrink this market, severely impacting public SaaS companies' incremental revenue.

Advanced AI tools have made writing software trivially easy, erasing the traditional moat of technical execution. The new differentiators for businesses are non-technical assets like brand trust, distribution networks, and community, as the software itself has become instantly replicable.