Meta and Mark Zuckerberg Are Training an AI Assistant to Handle Part of the CEO's Job

Mark Zuckerberg is making himself the first user of Meta's new AI strategy: the company is training a personal AI agent to take over some of the CEO's functions. The system is meant to pull answers from different teams across the corporation faster, bypassing long chains of management. With an AI budget of $115–135 billion in 2026, Meta is testing whether it can compress management and speed up decision-making. *Meta is designated an extremist organization and banned in Russia.

AI-processed from Bloomberg Tech; edited by Hamidun News
Meta and Mark Zuckerberg Are Training an AI Assistant to Handle Part of the CEO's Job
Source: Bloomberg Tech. Collage: Hamidun News.
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Mark Zuckerberg is turning himself into Meta's main testing ground for AI experiments: the company is training a personal AI assistant meant to take over some of the CEO's functions. This is not a public chatbot for users but an internal work tool that helps him reach information faster, pull together data from different teams and cut the routine that eats the time of the head of a huge company. The project is at an early stage, but its logic is already clear.

The agent is being built as a digital helper at the chief-of-staff level: it is supposed to find answers to questions that used to require a long chain of messages, approvals and handoffs between departments. For Meta, with its tens of thousands of employees, this is not a minor optimization but an attempt to reduce managerial friction. The less time goes into hunting for statuses, figures and context, the sooner top management can move on to decisions that cannot simply be delegated to an algorithm.

The experiment fits into a broader reorganization of Meta around AI. Back in January 2026, Zuckerberg told investors that this year should radically change how work is organized at the company. Meta is already rolling out AI-native tools internally, and the organization itself is getting flatter: the company is betting that individual strong specialists, amplified by agents, can handle tasks that once required large teams. CFO Susan Li said that since the start of 2025, output per engineer has risen by roughly 30%, and among the most active users of internal AI tools the year-over-year gain has reached about 80%.

The scale of the bet matters too. According to Meta's official forecast, capital expenditures in 2026 will be between $115 billion and $135 billion, versus $72.2 billion in 2025. That money goes not only into models and products for the external market but also into internal infrastructure, without which the company cannot make AI the base layer of its everyday work. The idea is simple: if Meta wants to compete with more compact AI-native players, it needs not just to ship models but to change the mechanics of running a large corporation.

Inside the company, several classes of tools are already being tested. Some help search documents, correspondence and internal knowledge; others act as personal assistants for employees and can interact with each other. Against this backdrop, a "CEO agent" looks less like an exotic idea than a logical continuation of the strategy: first Meta teaches AI to support the everyday work of teams, then it applies the same approach at the executive level.

In parallel, Western media have reported on another project: a more public AI version of Zuckerberg for communicating with employees, trained on his manner of speaking and public statements. But the working assistant for managerial tasks looks more practical and closer to a real effect.

It is important not to overestimate the autonomy of such a tool. For now it is more a system that speeds up information gathering and context preparation than a machine making strategic decisions for the head of the company. Choosing between competing priorities, assessing political risks inside the organization, personnel matters and accountability to shareholders remain human functions. But even if AI takes over only the layer of coordination, fact-finding and first-pass analytics, that is enough to noticeably change the role of mid- and senior-level managers.

The main takeaway is not that Meta intends to replace the CEO with an algorithm. What matters more is that one of the world's largest technology groups is testing whether agentic AI can be built directly into the management hierarchy, removing some bureaucracy without losing speed or control. If the experiment works, corporations will get a new standard for executive tools, and with it pressure on all the management that for now runs on status updates, calls and manual handoff of context. If it fails, the market will see sooner the boundary at which even the most expensive AI runs into human judgment.

*Meta is designated an extremist organization and banned in Russia.

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Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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