Permira's analysis suggests AI can replicate software features, eroding the value of high switching costs and recurring revenue. The new moat is whether a company owns critical data or is deeply embedded in workflows.

AI can easily clone a product's user interface. However, a mature product's real defensibility lies in its "dark matter"—the vast, invisible knowledge of countless edge cases, regulatory nuances, and failure modes accumulated over years. This makes true replacement much harder than it appears.

The most defensible AI companies don't just have superior models; they embed themselves deeply into customer workflows. The primary barrier to adoption is change management, so overcoming that hurdle creates a durable competitive advantage that is difficult to displace.

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.

In the AI era, defensibility comes from building a complex system of record, not just a thin wrapper on an LLM. Companies with a 'thick application layer' that offers standalone value are unattractive for model providers to replicate, whereas thin wrappers risk being absorbed by the platform they are built on.

Alex Rubalcava argues that businesses won't replace software integral to their operations—systems of record or platforms touching money, regulation, or physical assets. The high cost and risk of failure create a strong moat against AI-driven replacements, protecting companies like Shopify and Viva.

With AI commoditizing code creation, the sustainable value for software companies shifts. Customers pay for reliability, support, compliance, and security patches—the 'never ending maintenance commitment'—which becomes the key differentiator when anyone can build an initial app quickly.

Gokul presents a framework of eight moats—data, workflow, regulatory, distribution, ecosystem, network, physical, and scale—to evaluate a software company's durability. He argues that companies with a score of four or more are highly defensible against threats like AI.

Defensible companies build systems of record (like an ERP) that are so integral to a customer's operations that switching is prohibitively difficult. This creates a 'hostage' dynamic, providing a powerful moat against competitors, even those with better AI features.