Z.AI's culture mandates that technical leaders, including the founder, remain hands-on practitioners. The AI field evolves too quickly for a delegated, hands-off management style to be effective. Leaders must personally run experiments and engage with research to make sound, timely decisions.

Companies mistakenly bundle management with authority, forcing top performers onto a management track to gain influence. Separate them. Define management's role as coordination and context-sharing, allowing senior individual contributors to drive decisions without managing people.

Coinbase is eliminating pure people-manager roles, citing AI-driven productivity gains. Leaders are now expected to manage 15 or more direct reports—up from a previous cap of six—while also functioning as individual contributors, signaling a major shift in corporate structure.

Cash App is moving beyond siloed roles like "designer" or "PM." They see three fluid archetypes: DRIs who set vision, ICs who build with high craft, and Player-Coaches who lead teams while remaining accountable for output, eliminating pure "people managers."

Inspired by new AI capabilities, Jack Dorsey is restructuring Block to eliminate traditional middle management. The new model uses 'directly responsible individuals' for outcomes and hands-on 'player coaches,' suggesting a new organizational paradigm driven by AI-augmented efficiency and accountability.

A Coinbase engineering director reports that after scaling AI adoption, his calendar is "almost empty." The massive reduction in coordination overhead—fewer prioritization meetings, status updates, and roadmap discussions—is a primary benefit, allowing leaders to spend more time writing code themselves.

To prevent management from becoming a detached layer, Arista ensures its leaders are "coach players." This means even senior executives, like the CTO and founder, still contribute by coding. This "leading by example" approach proves to employees that management is connected to the core work, reinforcing a strong, authentic engineering culture.

In an AI-centric company, traditional management layers are replaced by three durable roles: Individual Contributors (builders), Directly Responsible Individuals (owners of outcomes), and Player Coaches (mentors who also build and show, rather than just tell).

The exponential increase in individual output from AI tools negates the need for traditional, multi-layered management structures. Cash App flattened its design org to just three layers from the CEO, enabling faster decision-making and adaptation to rapid technological change.