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.

AI will automate the flow of information and context, a traditional management function. This frees managers to focus on higher-level work: designing how work gets done and coordinating the roles and responsibilities between human team members and AI agents.

The conversation around AI has evolved from adding simple features to existing processes. Companies are now grappling with fundamental organizational redesign, questioning the long-term need for roles like SDRs, junior developers, and large finance teams.

AI automation is collapsing traditional corporate hierarchies. Instead of a manager overseeing a team of people, the new model will be a single team leader who directs and manages an AI that performs the team's entire function. The human role shifts from people management to AI-driven strategy and oversight.

Evan Spiegel believes AI will soon automate most day-to-day managerial work like performance tracking, career planning, and feedback collection. This will free up managers to focus purely on leadership and could dramatically increase their span of control, potentially allowing them to oversee double the traditional number of direct reports.

Evan Spiegel believes AI will automate most managerial work, such as performance tracking, feedback gathering, and career planning. This will free up managers from administrative tasks to focus purely on leadership and could allow them to double their number of direct reports, fundamentally flattening organizational hierarchy.

We currently see AI as an assistant that performs tasks. The emerging paradigm, however, is the "company brain" where AI is the central decision-maker. Humans will shift to roles that feed the AI high-quality, real-world information and then execute its strategic commands.

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 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.