Greg Isenberg interprets emerging crawler controls, machine-readable resources and payment-aware web standards as a shift from monetizing human attention toward charging software agents for useful access. In this model, a valuable page or endpoint becomes a resource that an agent can discover, evaluate and purchase directly.
The first opportunity Greg Isenberg proposes is a niche data refinery. A founder can manually collect and structure difficult local or industry-specific information, sell recurring reports to a narrow professional audience, then turn the repeated work into an API or agent-accessible product.
A second opportunity is an agent-readiness service. Greg Isenberg suggests auditing what AI systems say about a business category, improving structured content and documentation, then measuring whether the business becomes easier for agents to understand and recommend. Repeated service work can later become a monitoring product.
The third idea is to convert an expert archive into one job-specific tool rather than a generic search box. Greg Isenberg emphasizes careful structure, tagging and a narrow workflow so the agent can perform a concrete task and justify a per-request or subscription price.
Watch on YouTube
