The rise of agentic coding is creating a "SaaSpocalypse." These agents can migrate data, learn different workflows, and handle integrations, which undermines the core moats of SaaS companies: data switching costs, workflow lock-in, and integration complexity. This makes the high gross margins of SaaS businesses a prime target for disruption.

Generative AI primarily changes an app's user interface, but agentic AI can bypass UIs entirely to complete tasks. This makes transaction-fulfillment apps, which constitute a huge portion of the market, vulnerable to being replaced by agents that act directly on a user's behalf.

Companies like Uber and DoorDash build moats on customer lock-in. AI agents will eliminate this by automatically price-shopping for users, commoditizing demand. This shifts the competitive battleground to supply-side aggregation, lowering barriers to entry for new players.

The primary moat for many SaaS companies was the complexity and high cost of migrating away from their product. AI agents can now automate this process, eroding that advantage, increasing competition, and giving buyers significant leverage to renegotiate contracts.

The true threat to SaaS isn't just cheap software creation, but AI agents that automate data migration between platforms. This destroys the lock-in effect of proprietary data models, turning SaaS into a low-multiple utility business where switching costs approach zero.

The "DoorDash Problem" posits that AI agents could reduce service platforms like Uber and Airbnb to mere commodity providers. By abstracting away the user interface, agents eliminate crucial revenue streams like ads, loyalty programs, and upsells. This shifts the customer relationship to the AI, eroding the core business model of the App Store economy's biggest winners.

Service company CEOs believe strong brand loyalty is their primary defense against the "DoorDash Problem." Lyft's CEO argues that users are more likely to ask an AI specifically for "a Lyft" rather than a generic "ride." They are investing in brand to ensure they are requested by name, preventing them from being disintermediated and reduced to the cheapest commodity option.

SaaS products like Salesforce won't be easily ripped out. The real danger is that new AI agents will operate across all SaaS tools, becoming the primary user interface and capturing the next wave of value. This relegates existing SaaS platforms to a lower, less valuable infrastructure layer.

If AI agents are delegated to choose the optimal software for a task, they will constantly evaluate and switch between vendors based on performance and cost. This dynamic breaks the long-term customer relationships and enterprise lock-in that SaaS companies rely on, effectively commoditizing the software market and destroying brand loyalty.