Traditional SaaS switching costs were based on painful data migrations, which LLMs may now automate. The new moat for AI companies is creating deep, customized integrations into a customer's unique operational workflows. This is achieved through long, hands-on pilot periods that make the AI solution indispensable and hard to replace.

Historically, software did ~10% of the work (tracking, organizing). AI will invert this, with software actively performing 70-80% of tasks. This fundamental shift means customers will refuse to buy legacy software that doesn't do the majority of the work for them, massively expanding the total addressable market.

Workday itself was born from a platform shift, creating a cloud-native version of on-premise software like PeopleSoft. The current AI platform shift is creating the exact same opportunity for a new generation of startups to displace today's cloud incumbents, demonstrating a recurring cycle of technological disruption.

Legacy enterprise software like Workday holds critical company data but offers a terrible user experience. This paradox—being indispensable yet frustrating—creates a massive vulnerability for AI-native challengers who can solve the same problems with a superior, user-centric interface.

The most durable moat for enterprise software is established user workflows. The current AI platform shift is powerful because it actively drives new behaviors, creating a rare opportunity to displace incumbents. The core disruption isn't just the tech, but its ability to change how people work.

The explosive AI revenue growth stems from corporations re-categorizing the spending. It's no longer a line item in a constrained IT budget but a strategic investment in labor augmentation and replacement. This unlocks a vastly larger pool of capital from operational budgets, fueling hypergrowth.

Incumbent software like Workday creates immense stickiness, not through love, but through deep integration and high switching costs. This creates a 'Hotel California' effect where customers 'can check out any time they like, but they can never leave,' a moat that only a 10x better alternative can breach.

AI coding agents will make migrating between complex enterprise systems like SAP and Oracle dramatically easier and cheaper. This erodes the moat of high switching costs, forcing incumbents to compete on product value rather than customer lock-in, where they once held customers as "hostages."

Incumbent software vendors face a crisis: customers aren't churning, but all new enterprise budget is directed at AI. This traps legacy platforms as stagnant 'systems of record' while AI applications built on top capture all future growth.