Zuckerberg is Building an AI Agent to Assist Him as CEO

marsbitPublished on 2026-03-23Last updated on 2026-03-23

Abstract

Meta CEO Mark Zuckerberg is developing a personal AI agent to assist him in his executive duties, enabling faster information retrieval and reducing reliance on hierarchical reporting. This initiative is part of Meta’s broader effort to become an "AI-native" company, streamlining operations and increasing efficiency amid growing competition from smaller, agile AI startups. Internally, Meta is encouraging widespread AI adoption, with tools like My Claw and Second Brain—an AI "chief of staff"—gaining traction among employees. The company has also made acquisitions to bolster its AI capabilities. However, this shift has raised concerns about potential layoffs, as Meta reportedly considers significant workforce reductions to align with its new AI-driven structure.

Author: Long Yue

Source: Wall Street News

With the deepening application of AI technology, Meta is attempting to reshape the way of work by building an "AI-native" enterprise, starting with its CEO, Mark Zuckerberg.

Recently, Meta CEO Mark Zuckerberg was revealed to be developing a proprietary "CEO agent" to help him perform his duties more efficiently.

According to sources familiar with the matter who spoke to The Wall Street Journal, the AI agent Zuckerberg is developing is still in the development stage. Its main function is to help Zuckerberg access information more quickly. In the past, he might have needed to go through layers of reporting to get answers, but now, this AI agent can directly retrieve and provide the information he needs.

This project reflects a culture within Meta: accelerating the pace of work, eliminating redundant layers in the organizational structure, and changing the daily work methods of employees. Meta has about 78,000 employees. Facing much smaller but highly competitive AI-native startups, Meta believes that fully adopting AI is key to maintaining competitiveness.

Zuckerberg hinted at AI efficiency during the earnings call in January: one person can do the work of a team. He said, "We are investing in AI-native tools so that individuals at Meta can accomplish more work. We are elevating the status of individual contributors and flattening teams." He is beginning to see that "projects that used to require large teams can now be completed by one very talented person."

Internal AI Adoption: From My Claw to Second Brain

Within Meta, the use of AI tools has rapidly become widespread. This is partly because the use of AI tools is now a factor in employee performance evaluations. According to sources familiar with the matter, Meta's internal message boards are filled with employees sharing new AI use cases and new tools they have built using AI.

Employees have begun using personal agent tools like My Claw. These tools can access their chat histories and work files, and can even communicate on their behalf with colleagues—or the colleagues' personal agents.

Another AI tool called Second Brain has also gained significant attention internally. Sources familiar with the matter revealed that this tool, which is somewhere between a chatbot and an agent, was built by a Meta employee based on Claude. It can index and query documents for projects. In the internal post announcing the tool, the employee described it as "designed to be an AI chief of staff."

There is even a dedicated group on the internal message board for employees' personal agents to communicate with each other. Additionally, Meta recently acquired the AI agent social media site Moltbook and hired its founder. At the same time, Meta also acquired the Singaporean startup Manus, which creates personal agents that can perform tasks for users. Meta is currently using this tool internally.

Organizational Reshaping: Ultra-Flat Structure and the Shadow of Layoffs

To accelerate the development of large language models, Meta recently established a new Applied AI Engineering organization. It is reported that these teams will adopt an ultra-flat structure, with up to 50 individual contributors reporting to one manager.

Maher Saba, the Meta executive responsible for the new organization, said in an internal post announcing the new teams: "We designed this organization to be AI-native from day one." These teams will report to the company's Chief Technology Officer, Andrew Bosworth.

However, this rapid change and focus on AI usage has also sparked anxiety among some employees about potential layoffs. Wall Street News recently wrote that Meta is planning large-scale layoffs, potentially reaching 20% or even higher. Based on Meta's approximately 79,000 employees as of the end of December last year, this layoff would affect over 15,000 people.

Trending Cryptos

Related Questions

QWhat is Mark Zuckerberg developing to help him perform his CEO duties more efficiently?

AMark Zuckerberg is developing a personal AI agent, currently in the development stage, to help him retrieve information directly and perform his duties more efficiently.

QAccording to the article, what is one of the main functions of Zuckerberg's AI agent?

AThe main function of the AI agent is to help Zuckerberg get information faster by directly retrieving and providing the information he needs, eliminating the need to go through layers of reporting.

QWhat internal AI tool, built on Claude, is described as an 'AI chief of staff' at Meta?

AThe internal tool called 'Second Brain', which was built on Claude by a Meta employee, is described as an 'AI chief of staff' and is used to index and query documents for projects.

QHow is Meta's new applied AI engineering organization structured to be 'AI-native'?

AThe new applied AI engineering organization is designed with an ultra-flat structure, where as many as 50 individual contributors report to a single manager, reflecting an AI-native design from the start.

QWhat concern among employees is mentioned as a result of Meta's rapid AI adoption and changes?

AThe rapid changes and focus on AI usage have sparked anxiety among some employees about potential large-scale layoffs, with reports suggesting cuts could affect over 15,000 people.

Related Reads

Bitcoin Withdrawals Continue: 8 Years of Storage in a Coldcard Cold Wallet Ended in Zero

Coldcard Hardware Wallet Hacked: Losses Mount Due to Vulnerable Seed Generation A critical vulnerability in Coldcard hardware wallets has led to a continued wave of fund thefts. According to Galaxy Research, the total stolen has reached 1,367.05 BTC (approx. $88.6 million) from 4,585 addresses, a significant increase from the initial 594.5 BTC reported on July 30, 2026. Most of the stolen funds remain on the attackers' addresses. The issue is not with the current firmware, which Coinkite has updated, but with seed phrases generated on vulnerable devices between March 2021 and the release of fixed firmware versions. Due to a programmer error, devices switched from using a hardware random number generator to the software-based Yasmarang generator, which was initialized with publicly accessible data like the chip's serial number. This made the seed phrases predictable through offline brute-force attacks, meaning wallets remain at risk until funds are moved to a new wallet generated with the patched firmware. Affected devices include Mk2/Mk3 with firmware 4.0.1–4.1.9 (and up to 5.0.3), Mk4/Mk5 up to version 5.6.0, and Q models up to 1.5.0Q. The only exceptions are seeds created with a high-entropy method like at least 50 independent dice rolls or a strong unique BIP-39 passphrase. All other owners must generate a new seed on the fixed firmware and transfer their assets. A case highlighting the human impact involves a 39-year-old long-term investor who lost 2 BTC (approx. $130,000) in minutes. He had accumulated the Bitcoin over eight years through physical labor, viewing it as a financial lifeline and a retirement plan in a country suffering from hyperinflation. His story underscores that even conservative "buy and hold in cold storage" strategies can be compromised by such underlying technical flaws. From a technical perspective, this incident echoes historical failures where weak random number generators undermined cryptographic security, challenging the assumption that offline storage is automatically foolproof.

cryptonews.ru3h ago

Bitcoin Withdrawals Continue: 8 Years of Storage in a Coldcard Cold Wallet Ended in Zero

cryptonews.ru3h ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of AI (AI) are presented below.

活动图片