---
title: The internet taught companies to design information for humans.
type: post
date: 2026-09-04
source: linkedin
original_url: "https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A7501492866704195584"
topics: ["ai", "agentic-ai"]
summary: The internet taught companies to design information for humans. AI may force companies to redesign information for machines. For decades, the content pipeline was simple. A company created information. A human found it, read it, interpreted it and acted on…
draft: false
---

The internet taught companies to design information for humans.  
AI may force companies to redesign information for machines.

For decades, the content pipeline was simple.  
A company created information.

A human found it, read it, interpreted it and acted on it.

That shaped everything:  
Websites.  
Reports.  
Dashboards.  
Documentation.  
Product pages.  
Knowledge bases.

But the pipeline is changing.

AI is now used to:  
Ideate → Design → Code → Develop → Test → Deploy → Document

Then the product reaches the customer.  
And increasingly, the customer does not consume all of that information directly.  
Their AI agent does.

The agent:  
Searches → Reads → Summarizes → Compares → Recommends → Plans → Acts

Which creates a strange new loop:  
AI creates the information.  
Another AI consumes the information.  
Yet the artifact in the middle is still designed for a human.

AI writes a 30-page report so another AI can summarize it.  
AI creates documentation so another agent can extract the relevant steps.  
AI builds dashboards so another AI can interpret the underlying metrics.  
AI generates product pages so a customer agent can compare the products.

At some point, we should ask:  
Why are we still generating the intermediate artifact at all?

The next content architecture may look very different:  
Intent → Structured Intelligence → Agent → Action → Outcome → Learning

The unit of information may no longer be the page, report or dashboard.

It may be a machine-consumable intelligence object containing:  
Facts.  
Claims.  
Evidence.  
Constraints.  
Capabilities.  
Actions.  
Dependencies.  
Freshness.  
Something an agent can directly discover, reason over and act upon.

This changes more than content creation.  
A website could become an agent interface.  
A report could become a decision object.  
Documentation could become executable knowledge.  
A dashboard could become an intervention layer, surfaced only when something requires attention.

And SEO may eventually be joined by something very different:  
Agent Experience Optimization.

Not simply:  
Can people find our information?  
But:  
Can an AI agent correctly discover, understand, trust and act on our intelligence?

We spent the last 30 years building the internet for human attention.  
We may spend the next decade rebuilding enterprise information for machine consumption.