Meta Acquires Moltbook to Revolutionize Agentic Web

The announcement of Meta's acquisition of Moltbook has surprised many observers in the tech industry. Moltbook, a social network designed for AI agents, does not seem like an obvious choice for a company like Meta, whose business model primarily relies on advertising. Indeed, the bots, which make up the majority of Moltbook's users, are not the preferred target for advertisers.

Meta has been stingy with details regarding this acquisition. The only official statement indicates that the Moltbook team will join the Meta Superintelligence Labs. This integration aims to explore "new ways for AI agents to collaborate with people and businesses." Reading between the lines, it appears that this operation is an acqui-hire, meaning an acquisition motivated by the talent of the employees rather than the product itself.

Meta's true interest lies in the expertise of the Moltbook team in developing AI agent ecosystems. These skills could prove valuable for Meta's advertising business, even if that may seem paradoxical. As Mark Zuckerberg, CEO of Meta, pointed out, the future could see every company owning a commercial AI, just as they currently have an email address or a website.

In an agentic web, AI agents could autonomously interact to perform tasks such as purchasing ads, managing bookings, or responding to customers. AI is already being used to create ads and tailor their content based on user profiles. AI systems can also adjust product prices or generate personalized offers.

On the consumer side, AI agents could facilitate the search for the best deals, manage reservations, and even finalize purchases. Although agentic commerce is still in its infancy, rapid improvements in this area suggest considerable potential. In some cases, these agents can already make purchases and payments on behalf of consumers, although these systems are not yet perfectly reliable.

Towards an "agent graph"

Just as Facebook built the "friend graph," a network based on social connections between individuals, an agentic web could benefit from an "agent graph." This system would map the connections between different agents and the actions they can undertake on behalf of users.

For an agentic web to function effectively, agents from businesses and consumers must be able to find each other, connect, and coordinate their activities. This could include areas such as travel, online shopping, media, research, and productivity tools.

Advertising could also find its place in this new paradigm. Currently, humans see and click on ads when they are interested in a product. In an agentic web, where agents purchase on behalf of users, ads could take on a different form. Instead of influencing a human, a business's agent might need to negotiate directly with a consumer's agent to close a sale.

For example, a consumer might want to buy a shirt or lipstick, but only in a certain color and at a certain price. The systems could become so complex that these considerations would go beyond the product and price. A consumer might prefer to support small businesses or only buy from environmentally friendly companies. They might also choose to purchase items only when they are on sale or opt for generic versions if the ingredients are the same.

In this context, it is not just about connecting AI agents, but also about categorizing products based on their suitability for each customer's specific needs. If Meta can capitalize on this market by orchestrating interactions between AI agents, it could potentially expand its advertising business into a whole new territory.

Challenges and opportunities

However, the success of this vision will depend on consumer adoption of the agentic web and their trust in AI agents to act on their behalf. The existence of OpenClaw, an AI personal assistant on Moltbook, indicates that some users are already inclined to use autonomous agents.

Finally, the acquisition of Moltbook may also be motivated by Meta's desire to compensate for the loss of Peter Steinberger, the creator of OpenClaw, to OpenAI. By integrating Moltbook, Meta maintains its position in the development of AI agents while staying in the spotlight.