TLDR: With the rise of multi-agent systems, AI is quickly stepping into its age of organizations, just like we human did about a century ago. This time, unlike managing a traditional company, human managers are taksed to build an operating system for a much powerful new type of intellignece. ## /1. Peter Drucker & The Age of Organization Peter Drucker saw the 20th century as the age of the organization. The corporation, the university, the hospital—these became the fundamental units of society. A single person, no matter how skilled, had a ceiling on their impact. The organization was the machine for getting things done at scale. It was a profound shift in how humanity achieved its goals. ## /2. The Age of Organizations for AI We are at the same point with AI. Our obsession has been with creating a single, more powerful model that will someday reach the level of AGI. However, in fact, once intelligence reaches a threshold, **multi-agent systems** are the vital way to scale performance. It's hard for intelligence to be effective without the right system to channel it. A lone genius can only write so many lines of code or answer so many questions. To build something complex and durable, a system with multiple specialized and collaborative AI agents is required. ## /3. From Computing Power to Operating System This pattern is old. In the 1980s, the raw compute of semiconductor chips became a commodity. You could buy processing power from dozens of companies. The great wealth wasn't captured by the best chip fab, but by those who built the operating systems. Microsoft and Apple didn’t make the silicon; they made it useful. They created the environment where the raw power of individual components could be orchestrated to create powerful applications. Same with today -- We are leaving the chip era of AI and entering its era of operating systems. ## /4. Shifting Values When raw intelligence is the new commodity cheaply available via API, the scarcity, and therefore the value, is shifting upward. It lies in system architecture, workflow design, and orchestration. The most valuable work is becoming that of the systems architect. The person who can design a team of specialized AI agents, give them the right incentives, and build a workflow that multiplies their collective output. Again, we are talking about management as a computer skill.