As part of its 14% layoff, Coinbase is restructuring to eliminate pure people managers. Leaders are now expected to be individual contributors with 15+ direct reports, a span of control made possible by AI tooling. This signals a shift away from traditional corporate ladders toward flatter, more productive organizational structures.

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.

Don't think of AI as replacing roles. Instead, envision a new organizational structure where every human employee manages a team of their own specialized AI agents. This model enhances individual capabilities without eliminating the human team, making everyone more effective.

Leading in an AI era is less about managing people and more about designing systems of agents, workflows, and data. The focus shifts from interpersonal skills to architectural thinking, making leadership a builder role again. People who enjoy 'doing the thing' will thrive.

Brian Chesky predicts that in an AI-driven world, managers who only manage people without being involved in the actual work will become obsolete. To provide value, every leader must be a practitioner in their domain and manage people *through the work* rather than acting as a therapist.

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.

As AI agents begin to run entire business departments like finance or sales, the role of human leadership will pivot. Instead of managing people's day-to-day tasks, leaders will become "directors of the AI," focusing on high-level strategy, sequencing, and handling exceptions.

AI tools serve as an "antidote to the managerial revolution" by empowering individual contributors to build and deploy solutions directly. This bypasses bureaucratic layers of middle management, accelerates innovation, and shifts the power balance within organizations back to frontline workers.