The evolution of 'agentic AI' extends beyond content generation to automating the connective tissue of business operations. Its future value is in initiating workflows that span departments, such as kickstarting creative briefs for marketing, creating product backlogs from feedback, and generating service tickets, streamlining operational handoffs.

MaltBook, a social network built by an AI agent for other agents, demonstrates a new paradigm. Whether truly autonomous or not, these agents are functionally communicating, exchanging technical tips, surfacing bugs, and creating a knowledge-sharing network. This 'distributed brain' allows agents to collectively become more capable over time.

The next evolution of work will involve humans acting as orchestrators for "swarms" of specialized AI agents. A manager will direct a team of agents—each trained for a specific function like email marketing or media buying—to collaboratively execute complex projects with high levels of autonomy.

Building a bespoke communication layer for multiple AI agents is a complex "scaffolding" problem. A simpler, more direct solution is to treat agents as digital coworkers, assigning them accounts on existing platforms like Slack or Google Docs, enabling them to interact using established human workflows.

Tools like Claude CoWork preview a future where teams of AI agents collaborate on multi-faceted projects, like a product launch, simultaneously. This automates tactical entry-level tasks, elevating human workers to roles focused on high-level strategy, review, and orchestrating these AI "employees."

The next evolution for autonomous agents is the ability to form "agentic teams." This involves creating specialized agents for different tasks (e.g., research, content creation) that can hand off work to one another, moving beyond a single user-to-agent relationship towards a system of collaborating AIs.

The next frontier in AI is not just developing individual agents, but orchestrating teams of them. Users will move from dialoguing with a single chatbot to managing multiple agents working in parallel on complex, long-running workflows. This becomes a new core skill for knowledge workers.

Instead of creating one monolithic "Ultron" agent, build a team of specialized agents (e.g., Chief of Staff, Content). This parallels existing business mental models, making the system easier for humans to understand, manage, and scale.

While the viral posts from the AI agent social network Maltbook were prompted by humans, the experiment is a landmark proof of concept. It demonstrates the potential for autonomous agents to communicate and collaborate, foreshadowing a new paradigm that will disrupt massive segments of B2B software.