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.

Traditional management suggests a span of control around 8. By leveraging AI and fostering high agency, ElevenLabs builds a much flatter organization where leaders, including the co-founders, manage over 15 direct reports each. This structure increases speed and reduces bureaucracy.

AI empowers C-level leaders to regain direct operational visibility across their companies. Rather than filtering questions through layers of middle management, executives can query company-wide data systems directly or deploy autonomous agent swarms to analyze issues and build prototypes, fundamentally expanding executive span of control and accelerating decision-making.

AI makes individual workers so productive that companies no longer need to build large middle-management teams to oversee frontline workers. The new organizational model is a thin leadership layer managing highly autonomous "doers" who can deploy AI to achieve more on their own.

By using AI tools to help managers surface issues and track team performance, Cloudflare found it could increase the average number of direct reports per manager from ~6 to ~12. This reduces the need for middle management layers, directly leading to a flatter, faster, and more nimble organizational structure.

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.

AI's primary impact isn't eliminating individual contributors but the layers of middle management. Tasks like monitoring, data collection, and reporting—traditionally done by managers in a hierarchy—can now be automated. This forces a flatter organizational structure where managers must evolve beyond simple oversight.

Historically, organizational structures existed to manage information flow. AI can now encode that institutional knowledge into agents that democratize data and decision-making. This enables small, autonomous teams to execute faster without the need for traditional management layers for communication.

Middle management traditionally existed to manage information flow. Identic AI makes information direct and contextual for everyone, removing the need for this "signal booster" role. Middle managers must transition from supervising work to exercising judgment, ensuring accountability, and governing AI systems to create value.