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An emerging value stack defines the agent-driven internet: messy content is refined into structured data, exposed via agent-readable APIs, monetized with payment rules, and verified with trust and analytics layers. Entrepreneurs can build valuable companies by focusing on a single layer within this new stack.
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.
A new wave of startups, like ex-Twitter CEO's Parallel, is attracting significant investment to build web infrastructure specifically for AI agents. Instead of ranking links for humans, these systems deliver optimized data directly to AI models, signaling a fundamental shift in how the internet will be structured and consumed.
The effectiveness of AI agents is fundamentally limited by their data inputs. In the agent era, access to clean and structured web data is no longer a commodity but a critical piece of infrastructure, making tools that provide it immensely valuable. AI models have brains but are blind without this data.
A traditional, human-focused homepage with videos and marketing copy is invisible to AI agents. To engage this new class of user, companies must create dedicated, agent-readable entry points (e.g., a '/agents' page) that provide structured docs, schemas, policies, and API endpoints. Without this, you don't exist in the agent economy.
The traditional SaaS model of bundling data, logic, and UI is being challenged. To stay relevant, SaaS companies must unbundle their core assets—like semantic models and business logic—so they can be consumed by AI agents, not just humans via a UI. This creates new agent-driven usage and business models.
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.
Building a single AI tool is not enough. The real value lies in becoming the 'conductor,' creating a system that orchestrates multiple specialized AI agents to complete complex workflows. Whoever owns this coordination layer owns the entire value flow.
The internet's primary user is shifting from humans to AI agents, creating a new "machine-to-machine" economy. This presents an opportunity to create agent-native versions of every major SaaS category, from payments and communication (like Notion or Slack) to memory and project management, built specifically for non-human customers.
Cloudflare's new tools, like 'Pay per Crawl' and X402 payment codes, are creating a native payment layer for the web. This infrastructure allows any digital resource—an API, dataset, or webpage—to be monetized via microtransactions where the agent's request itself becomes the transaction, bypassing traditional checkout flows.
To succeed in an agentic web, content must be structured for machine understanding. This involves using explicit schemas like JSON-LD, publishing raw datasets, and providing clear provenance. AI agents prioritize atomic, verifiable facts over flowing prose, making data structure a new SEO pillar.