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DoorDash is building its own AI agent while allowing third-party agents like Muse to operate on its platform. This dual strategy exposes a core conflict for businesses: build a proprietary agent to own the customer relationship and data, or risk being disintermediated by more universal, external agents.

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The primary threat AI agents pose to platforms like DoorDash or Uber isn't that they can "vibe-code" a replacement app. It's that they can eliminate the friction of price shopping, thereby commoditizing the demand side of the marketplace and destroying the customer lock-in that constitutes the company's core value.

The threat to companies like DoorDash isn't a new AI delivery service. It's an AI agent that optimizes consumer choice between DoorDash, Uber Eats, and direct ordering. The brand that "owns the agent" wins by commoditizing the underlying service providers, even if their operations remain superior.

The rise of AI agents is forcing a strategic choice. Aggregators like Expedia partner to avoid disintermediation, while inventory owners like Amazon block agents to protect lucrative ad businesses and direct customer relationships, creating a clear market divide.

Platforms like Amazon and DoorDash thrive on consumer habits and the friction of comparison shopping. AI agents eliminate this friction, automatically finding the best price or option across all vendors, thus threatening to become the new trusted gateway for commerce and shifting power away from incumbents.

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 agents can perform complex tasks like ordering food by interacting directly with restaurants and drivers, bypassing aggregator platforms like DoorDash. This disintermediation removes the "middleman tax," returning margin and power to the original creators, fulfilling the internet's early promise of direct, open access without powerful gatekeepers.

While Linear started by creating a platform for third-party agents, they found they couldn't control or improve the end-to-end user experience. This limitation prompted them to build their own coding agent to create a smoother, more integrated workflow where context is automatically injected.

DoorDash recognizes that web traffic is now majority non-human agents. Their strategy is shifting to be "agentic first," creating interfaces like a CLI that allow other AI agents to programmatically use their service, unlocking new use cases like automated pantry restocking.

Internet aggregators like Expedia and DoorDash built businesses by helping users navigate a complex web. AI agents can now perform that same search, comparison, and transaction function directly, disintermediating the aggregators and capturing their value.

The rise of personal AI agents represents a new layer of aggregation that threatens established platforms like Amazon. These agents can compare services and route purchases to the best option, turning dominant platforms into interchangeable suppliers. This forces incumbents to either block agents, ceding ground to competitors, or lose control over the customer relationship.