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.

To adapt to AI-driven productivity, Block abandoned large, static feature teams for small squads of 1-6 people that can flexibly move between products. This structure, combined with cutting management layers by over 50%, allows for faster information flow and rapid, AI-powered development cycles.

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.

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.

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.

As individual engineers become hyper-productive with AI tools, the need for management layers to orchestrate work diminishes. Stripe is responding by flattening its organization and empowering smaller, more autonomous teams with founder-like agency.

True AI adoption isn't about tools; it's a fundamental shift in organizational design. Traditional companies operate like Roman legions with layers of management. AI-native businesses are flat, allowing a single leader to manage thousands of AI-augmented workers directly, eliminating middle management and radically increasing efficiency.

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.

By empowering individuals with AI tools, Freshworks has seen a dramatic shift in team composition. The ratio of product managers to engineers has collapsed from a traditional 1:20 to nearly 1:1, enabling smaller, faster, and more autonomous teams.