Mark Zuckerberg has moved on from spending huge sums on the metaverse and a pair of controversial smart glasses. Now he is working on a new plan to reduce one persistent hassle of being a tech CEO: actual human interaction. According to reporting in the Wall Street Journal, Meta is building an AI agent to help Zuckerberg carry out CEO duties, starting with tasks that normally require asking other people for details.

What this AI co-CEO is meant to do

The current focus is practical and straightforward. The AI is being trained to pull up information, parse documents, and answer questions that would otherwise force a manager to track down teammates and sit through meetings. Think of it as a smart assistant that reads project notes, chat logs, and files so Zuckerberg does not have to.

Tools and features inside Meta

  • My Claw: An internal tool that can communicate with coworkers and their agents while pulling in relevant employee files and chat history.
  • Second Brain: Built by a Meta staffer to act like an AI chief of staff, scanning project documentation and summarizing the essentials.
  • Internal agent chat groups where employees let their AI agents talk to one another, extending the social dynamic into the machine realm.

Meta has also acquired Moltbook and hired its founders. Moltbook was notable for having a large amount of AI-driven content, although some viral posts were later found to be produced by humans manipulating the AI output.

Where this fits in Meta's strategy

Meta's leadership says the company is shifting to "AI-native" tooling so individual contributors can be more productive and teams can be flattened. As Zuckerberg put it during Meta's January earnings call, "We're investing in AI-native tooling so individuals at Meta can get more done. We're elevating individual contributors and flattening teams. If we do this, then I think that we're going to get a lot more done and I think it'll be a lot more fun."

Part of that reorganization includes a new AI engineering division. One described structure puts as many as 50 employees reporting to a single manager, with the idea that AI tools will prevent organizational breakdowns.

Risks, context, and the human cost

There are open questions about whether an internal AI advisor will offer better guidance than widely available models. Public examples show that AI-driven advice can lead to costly mistakes and legal troubles in the real world.

Meanwhile, Meta is reported to be planning large staff reductions. Management has discussed cutting up to 20 percent of the workforce as AI projects expand and costs mount. That combination of automation and layoffs shows how quickly companies can shift from experimenting with tools to restructuring around them.

In short, Meta is betting that an ecosystem of internal agents, acquisitions, and new tools can make work more automated and more centered on AI. The practical outcome may be fewer meetings for executives and fewer employees doing the daily work that those tools are meant to replace.