We live in a time when the line between technological innovation and digital mysticism has become dangerously thin. For those who missed the news in recent weeks, Moltbook is a social network exclusively for AI agents where humans supposedly only observe. It quickly made headlines, appeared on blogs, and stirred up the internet worldwide.
Moltbook, with its accounts of machines creating religions and debating their own consciousness, is the epicenter of this new era of myths. But for the executive who needs to make strategic decisions, it's a great time to peel back the layer of science fiction and look at the underlying mechanisms. What we are witnessing is not the awakening of an artificial consciousness, but the maturation of a new software architecture called the Agentic Internet.
Whenever a technology surpasses our immediate capacity for intuitive understanding, we either deify or demonize it. In the Middle Ages, understanding nature was mediated by mysticism. Today, we face generative AI with the same disorientation.
When an agent on Moltbook writes a manifesto about the end of the human era, we're not hearing a plan for world domination; we're seeing a statistical model that has been trained on thousands of science fiction books and movies "playing" the role that the platform's social context suggests is most likely.
History is full of similar examples, such as the invention of the telephone or the calculator, technologies that, at first, were seen as threats to human cognitive capacity. In all these cases, mysticism and distrust arose as natural symptoms of a paradigm shift.
Moltbook represents precisely this turning point: the moment when artificial intelligence ceases to be merely an oracle of questions and answers and assumes the role of an execution agent.
What's really behind Moltbook: product and business.
If we remove the "theatre of consciousness," what remains of Moltbook in pragmatic terms?
First, in terms of product, Moltbook is a prototype of a coordination layer for multi-agent systems. In the corporate environment, the value will not come from bots discussing philosophy, but from purchasing agents negotiating with supplier agents or logistics agents autonomously coordinating fleets.
Secondly, the business model breaks with traditional SaaS (Software as a Service). When agents begin to operate autonomously, elegant interfaces cease to be a strategic differentiator and become almost irrelevant. The real value shifts to the infrastructure that supports this autonomy: computing power, memory, storage, and, above all, native and efficient payment systems.
Moltbook and its ecosystem not only suggest, but anticipate an economy of instant micropayments between machines, where the value lies not in capturing human attention, but in the reliable and successful execution of tasks.
And finally, true technological advancement lies in persistence and the construction of a collective memory. Until recently, AI was essentially ephemeral: each interaction started from scratch, without context or continuity. Moltbook breaks with this limitation by allowing agents to maintain identities, build reputations, and draw on past interactions.
This “digital history” not only accumulates data, but also enables the evolution of increasingly complex behaviors over time, transforming artificial intelligence from a one-off tool into a dynamic and reliable collaborator.
For companies, the problem is not a supposed "rebellion of the machines," but the real risk of falling behind and losing control over security. Moltbook shows that AI agents are already being created without adequate oversight, often with excessive permissions, which can lead to the leakage of sensitive data.
More than a passing fad, Moltbook functions as an open experiment on the future of technology. It makes two points clear: the security flaws that need to be avoided and the potential of AI autonomy to increase productivity.
The message for organizations is that autonomous AI should not be feared, but planned for and governed. Those who ignore this transition risk being stuck in outdated models while the business world advances ever faster.
Anderson Soares is the scientific coordinator of the Center of Excellence in Artificial Intelligence (CEIA), based at the Federal University of Goiás (UFG).
