How to Build a Self-Improving Company with AI
In a Nutshell
AI replaces traditional hierarchies by turning companies into recursive self-improving loops that extract domain knowledge, monitor performance, write and deploy code, and optimize operations overnight with minimal human input. Token usage—not headcount—becomes the constraint, middle management disappears as coordination shifts to AI, and everything must be recorded to make the organization legible for continuous learning. Humans shift to edge roles handling novel, ethical, or high-stakes decisions while software becomes ephemeral and only business context remains durable.
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The Roman legions were designed to project power over two continents from Rome at the center to Hadrian's Wall in Scotland. The structure relied on nested hierarchies with consistent spans of control, where named individuals passed orders down and sent information back up the hierarchy. Most companies today are organized like Roman legions, with human beings serving as the conduit for information flowing up and down.
Jack Dorsey's tweet highlighted the underlying assumption that hierarchically organized companies are the way economic units of value should be organized. AI fundamentally breaks this model. A year ago, people discussed AI usefulness in terms of productivity, co-pilots making engineers 20% more productive, and adding co-pilots to workflows. This approach is broken because it simply takes the old way of working and adds a more powerful engine onto it.
Instead of bolting AI onto the side of a company as a tool, companies can reimagine what a company is as a set of recursive self-improving AI loops. The company starts to self-improve even when people are sleeping.
The key is extracting domain knowledge from the company and defining it as context or a set of skills. This domain knowledge, business knowledge, or knowhow exists in people's heads, Slack messages, emails, and Notion. All of this information together defines how the company works. Making this information legible allows movement from hierarchical organization to an intelligent AI-powered organization with AI-native software.
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