Briefing #24: When Robots Are Your New Direct Reports
How the rise of AI agents is poised to become management's most significant evolution in decades.
Note: This briefing was originally published on LinkedIn on January 16, 2026. It has been migrated to our new home on Substack to create a complete archive. Multi-format features like video and audio commentary are available for all new briefings published from April 2026 onwards.
For the better part of a century, the blueprint to becoming a successful leader was clear: you excelled at managing people. From the industrial-era supervisor ensuring tasks were completed to the corporate-era manager facilitating team success, the core function was always human-centric.
With AI on every leader’s mind, the end of that era of leadership could well be at hand.
AI systems are now capable of handling the very tasks that once defined management: tracking performance, monitoring workflows, and optimizing output. This automation of oversight doesn’t necessarily make leaders obsolete though. It liberates them to do more important work.
The challenge is that this new work requires a radically different skill set.
The old model was about getting things done through others. The new model that’s emerging is about achieving outcomes by orchestrating a complex ecosystem that includes both human talent and “AI talent.”
Leaders in this AI era are more like symphony conductors. Conductors don’t play a single instrument, but they have the ability to understand the unique capabilities of every section – the strings, the woodwinds, the percussion – orchestrating them to produce transcendent music that no single section could create alone.
Your human team might be your string section, unmatched in creativity, empathy, and strategic judgment. Your AI agents might be your percussion, capable of immense scale, speed, and pattern recognition. Your job is to write the score that allows them to play in harmony and manage the full orchestra as it performs live.
Successfully navigating this new landscape requires mastering a new set of core competencies:
Human-AI Collaboration Design: Blending the strengths of humans and AI.
Agent Management: Prompting, evaluating, and coordinating AI outputs.
Strategic Sense-Making: Interpreting complexity and maintaining focus amidst a sea of AI-generated data.
Leaders who insist on defining their value by the number of people they manage will quickly realize AI brings with it not just one, two, or ten direct reports – but the challenge of simultaneously managing dozens or hundreds of team contributors.
At that scale, the very notion of what it means to provide leadership must evolve. It’s in this way that the future belongs to leaders who see themselves as orchestrators of outcome.