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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.

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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.

The value in software is shifting from SaaS platforms (like CRMs) to the AI agent layer that automates work on top of them. This will turn established SaaS companies into simple data repositories, or "hooks," diminishing their stickiness and pricing power as agents can easily migrate data.

Historically, a deep library of integrations (like MuleSoft's or Rippling's) created a powerful defensive moat. Now, AI coding agents like Devin can replicate hundreds of integrations in a month at a very low cost, making this form of defensibility obsolete.

Middlemen like retailers exist because of information asymmetry. Personal AI agents, with deep knowledge of individual needs, will aggregate demand and purchase goods directly from producers like farmers and manufacturers. This will eliminate the need for advertisers and retailers and enable hyper-efficient supply chains.

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.

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."

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.

AI's biggest impact on incumbent SaaS won't be replacement, but the erosion of moats built on high switching costs. AI coding agents will make complex migrations (e.g., from SAP to Oracle) faster and less risky, forcing vendors to compete on product value rather than relying on customer lock-in.