1d • General discussion
The Five Layers of the Web AI Can't Replace
The future of the web organizes itself around five durable verticals of value that AI fundamentally cannot replicate on its own, making them highly defensible spaces to build businesses. As AI drastically lowers the cost of production, surviving companies will be those that own structural layers that large model makers (like OpenAI or Anthropic) cannot easily disrupt or replace.
1. Trust The internet is currently facing an overwhelming flood of AI-generated apps, content, and storefronts, many of which are indistinguishable from one another, low quality, or actively malicious. Because anyone can spin up a legitimate-looking checkout page in seconds, companies that serve as the verification layer will capture immense value. These "trust providers" will assure users that an app won't steal their data or credit card information. In an emerging "agentic economy," where AI agents make purchases or book services autonomously on your behalf, this trust layer becomes an essential routing mechanism; an agent will only transact with services that have verified trust signals.
2. Context General AI models lack the most valuable asset on the internet: specific situational data, such as your company's proprietary data, customer relationships, or meeting notes. Companies that become the authoritative store and permissioning layer for this context own the choke point of the internet, because every AI agent and workflow must run through them to be genuinely useful. An agent without context is merely a chatbot, but an agent integrated with your specific data acts as a dependable junior employee. Platforms like Notion, Salesforce, and Snowflake thrive because they hold the structural data gravity that AI models must access to function effectively.
3. Distribution While AI allows developers to generate an app in seconds, acquiring users is a much harder challenge. When the supply of digital products becomes essentially infinite, curation and distribution become the world's scarcest resources. Existing distribution gatekeepers (like Google, Apple, and YouTube) become stronger because they direct user attention in a flooded market. Furthermore, a massive new opportunity exists in "agent discovery". As the web becomes agent-centric, there will be a need for agent-native app stores or discovery mechanisms that help autonomous agents find the tools and businesses they need to successfully interact and transact with.
4. Taste When the cost of producing software drops to zero, the entire game shifts to what you choose to build. Taste is the human editorial judgment, design sensibility, and conviction about what should exist in the world. It represents the ability to craft a clear value proposition that deeply resonates with human needs. On the agentic web, taste manifests as "orchestration quality"—meaning the careful tuning of prompts, the design of workflows, and the curated editorial decisions that direct how an agent behaves and achieves its goals.
5. Liability When an AI-generated contract loses a lawsuit, or an AI medical app gives harmful advice, a human or corporation must be legally accountable. Regulated industries require liability and accountability, effectively creating a governance layer for the future web. Companies and professionals that position themselves as liability guarantors, AI assurance providers, or safety auditors will thrive by defining boundaries, auditing actions, and making autonomous agents safer to run.
Ultimately, these five areas have always mattered on the web, but AI is a forcing function that makes them significantly more critical. If your product's value increases as AI models get better—because you own a piece of the trust layer, context layer, or liability layer—you are building in a safe and durable niche where you do not have to worry about being instantly replaced by the next major model release.
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The Five Layers of the Web AI Can't Replace
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