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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.
Demis Hassabis envisions a future internet where users' AI assistants negotiate directly with service providers' agents to book flights, make payments, and handle other tasks. This shift to an 'agent-to-agent' economic model will automate mundane work and fundamentally disrupt the current web's structure.
Google is moving beyond theoretical competition by extending its AI agent capabilities directly into lodging and travel planning. This development represents a materializing risk for Online Travel Agencies (OTAs), as Google can leverage its search dominance to disintermediate them and capture more of the value chain.
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.
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 "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.
Businesses with moats based on network effects or consumer friction are vulnerable to "agentic commerce." AI agents, tasked with finding the absolute best price without experiencing the tedium of comparison shopping, will bypass brand loyalty and platform stickiness. This threatens any business model that relies on being the default or convenient choice.
The success of AI agents in disintermediating existing platforms depends on the platform's control over its supply. Agents can easily bypass booking sites like Expedia by going directly to hotels. However, they can't replicate the real-time, controlled driver networks of services like Uber or DoorDash.
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.