The traditional internet model—websites provide content to crawlers in exchange for human traffic monetized via ads—is failing. AI agents consume content and provide answers directly to users, bypassing the website visit entirely. This necessitates a new model where agents pay directly for data access.

The internet was built for human interaction. The rise of autonomous agents shopping for products and services on our behalf signals the dawn of an 'agentic web.' This will force a fundamental shift in marketing and sales, requiring businesses to learn how to effectively market to and be discovered by AI agents, not just humans.

Instead of replacing services like Uber Eats, an agent drastically reduces purchase friction (e.g., proactive ordering). This could paradoxically increase the total transaction volume for the incumbent service, even while bypassing its attention-based app interface and associated ad revenue. This creates a complex co-opetition dynamic.

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.

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 next phase of AI will involve autonomous agents communicating and transacting with each other online. This requires a strategic shift in marketing, sales, and e-commerce away from purely human-centric interaction models toward agent-to-agent commerce.

The primary financial risk of agentic commerce to e-commerce companies is not the transaction fee but the potential loss of high-margin retail media advertising revenue. Since many retailers derive most or all of their profit from on-site ads, agents threaten their core business model.

As AI agents become the primary consumers of web content for tasks like shopping or research, the traditional advertising model collapses because agents don't see or click ads. This necessitates a new monetization system to compensate content creators.

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.