Jack Dorsey and Sequoia Capital's Roelof Botha have published a manifesto arguing that artificial intelligence can fundamentally restructure how companies organize themselves by replacing traditional hierarchical information-routing functions with distributed intelligence systems. In their essay published on Block's platform, the two propose a model where AI agents handle coordination and decision-making that traditionally required managers and organizational layers, potentially flattening corporate structures while improving efficiency.
The concept, framed as a shift "from hierarchy to intelligence," is already being tested in practice. At Every, a media company, autonomous agents are organically forming shadow organizational structures that operate alongside—and sometimes counter to—formal reporting lines. This emerging reality reveals both the promise and complexity of AI-driven organizational redesign, showing that the transition from traditional hierarchy to agent-based coordination is messier and more nuanced than theoretical frameworks might suggest.
The proposal carries significant implications for corporate workforce structure and management philosophy. If successful, such models could reshape how companies scale operations, make decisions, and allocate human talent, though implementation challenges around control, accountability, and coordination remain substantial.
Key Points
Dorsey and Botha argue AI can replace hierarchical information-routing functions, fundamentally restructuring corporate organization
Block is betting the company on implementing these principles in practice
Real-world examples at Every show AI agents forming organic shadow org charts that diverge from formal structures
The shift from hierarchy to intelligence-based organization presents both efficiency gains and coordination challenges