With agent loops automating execution, the highest-value human skill becomes designing the environment and rules for the AI. This involves writing the strategy document (like 'program.md'), defining success metrics, and constructing the evaluation function. Your job is no longer to do the work, but to architect the system in which the work gets done.

AI automates the entry-level "grunt work" that traditionally formed the base of the corporate pyramid. This transforms organizations into diamond shapes, with fewer junior roles. This poses a new challenge: junior hires may know AI tools but lack the wisdom and judgment gained from that foundational experience.

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.

As AI agents take over task execution, the primary role of human knowledge workers evolves. Instead of being the "doers," humans become the "architects" who design, model, and orchestrate the workflows that both human and AI teammates follow. This places a premium on systems thinking and process design skills.

The adoption of powerful AI agents will fundamentally shift knowledge work. Instead of executing tasks, humans will be responsible for directing agents, providing crucial context, managing escalations, and coordinating between different AI systems. The primary job will evolve from 'doing' to 'managing and guiding'.

AI empowers individuals to perform tasks outside their traditional roles, like PMs coding prototypes. This breaks down siloed, assembly-line workflows. Leaders must now redesign their org charts to support a more collaborative model where disciplines overlap significantly, like intermeshing gears.

The next frontier of leadership involves managing an organizational structure composed of both humans and AI agents. This requires a completely new skill set focused on orchestration, risk management, and envisioning new workflows, for which no traditional business school training exists.

The evolution of AI has shifted the required skill set from simply writing prompts to managing, educating, and delegating complex workflows to autonomous agents. This new role orchestrates teams of AI 'replicants' to achieve business outcomes with massive leverage.

Companies will move beyond simply giving employees AI tools by building organizational infrastructure to support agent-driven work. This will create entirely new job families focused on coordination, evaluation, and strategy, such as "Agent Ops Engineers," "Context Librarians," and "Experiment Portfolio Managers."