Mark Zuckerberg is reportedly building an AI agent to help him run Meta, and it tells us more about where enterprise AI is heading than any product launch this quarter.
The Wall Street Journal reported on March 22, 2026, citing a person familiar with the project, that Zuckerberg's "CEO agent" is currently helping him "get information faster -- for instance, by retrieving answers for him that he would typically have to go through layers of people to get." The agent is still in development.
That quote is the whole story, and it's worth slowing down on. The richest use case for a CEO of a $1.5 trillion company isn't generating strategy memos or writing emails. It's bypassing the human telephone game that happens when an executive asks a question and it bounces through four layers of management before someone pulls the actual data.
What we know (and don't know)
The WSJ report is thin on technical details, which is expected for something this early. We don't know what models power the agent, whether it's built on Meta's own Llama infrastructure or something else, or what internal systems it can access. We don't know if it queries databases directly, reads internal documents, or talks to other Meta employees on Zuckerberg's behalf.
What we do know: this fits neatly into Meta's broader AI agent push. On Meta's Q4 2025 earnings call in January 2026, Zuckerberg said the company is working toward "personal superintelligence" and that "a lot of what makes agents valuable is the unique context that they can see." Meta acquired Singapore-based AI agent startup Manus for a reported $2 billion in December 2025. It launched Meta Superintelligence Labs in June 2025, led by former Scale AI CEO Alexandr Wang. And it plans to spend $115 billion to $135 billion on AI infrastructure in 2026 alone.
Zuckerberg building himself an AI agent isn't a vanity project. It's a test bed. If the CEO agent works well enough for the person running a 70,000-employee company, the playbook scales down to every VP, director, and team lead.
How this compares to what everyone else is selling
I spend a lot of time testing enterprise AI tools, and the honest assessment is that most "AI executive assistants" on the market right now are glorified search bars bolted onto existing software.
Microsoft Copilot ($30/user/month for M365 Copilot) does a decent job summarizing meetings, drafting emails, and pulling data from Office documents. But it's a copilot, not an agent. It waits for you to ask. Salesforce's Agentforce ($2/conversation for standard) gets closer to autonomy, handling customer-facing workflows without constant human input. Neither one is doing what the WSJ describes: acting as a proxy for a specific executive's information-gathering patterns across an entire organization.
