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Black Mirror come to life? Zuckerberg is exposed for creating AI digital avatars, so future interactions with employees won't require real-person attendance
Meta CEO Mark Zuckerberg is developing hyper-realistic AI avatars aimed at achieving cross-time-space interaction. Meta is investing hundreds of billions of dollars to promote the Personal Superintelligence project.
Hyper-realistic AI avatars appear at Meta, Zuckerberg invests in training digital doubles
Meta CEO Mark Zuckerberg is leading the company in an experiment to “digitize” himself through artificial intelligence technology. According to the Financial Times, Meta is developing an AI-driven version of Zuckerberg with a sense of realism and 3D visual effects, designed to enable the CEO to interact with employees worldwide in real time without being physically present. This project is led by Meta’s newly established Superintelligence Labs and is currently in initial testing stages.
This digital avatar features a highly realistic appearance and deeply integrates Zuckerberg’s language style, facial expressions, voice tone, and public speaking mannerisms. To ensure the AI’s responses align with his strategic thinking, the development team trained it using Zuckerberg’s recent internal viewpoints and public statements about company development. Zuckerberg himself shows strong interest in this project, even participating in fine-tuning the technology, so that employees interacting with the AI avatar feel as if they are speaking face-to-face with the founder.
Compared to the virtual avatars criticized in the metaverse platform in 2022, this time Meta pursues extreme realism. This 3D character can provide feedback, participate in conversations, and simulate natural video calls within virtual spaces. To improve the naturalness of AI speech and eliminate interaction delays, Meta has acquired two speech technology companies to strengthen its technical foundation.
Shifting to the superintelligence industry, Meta invests heavily to promote the Personal Superintelligence project
As Meta shifts its development focus to generative AI, the company’s capital expenditure budget has surged. Market data shows that Meta’s capital spending is projected to reach between $115 billion and $135 billion by 2026, nearly doubling from the previous year. This funding mainly aims to expand computing power to support the vision of “Personal Superintelligence.” Meta recently released the Muse Spark model, a specialized model with reasoning and visual understanding capabilities, which caused the company’s stock price to rise on the day of its announcement.
Meta’s internal AI transformation is reflected in the CEO’s avatar and is also being promoted across all employees. Currently, Meta requires employees to incorporate proxy tools into their daily workflows and encourages the use of open-source software to design automation agents for efficiency. Product managers are also participating in a technical assessment called “Skill Benchmark Exercises,” which includes system design tests and the trending “Vibe Coding.” Some employees worry this may pave the way for future layoffs, indicating internal unease caused by technological change.
Additionally, Meta is extending these AI virtual technologies into the creator ecosystem. Through the AI Studio platform, influencers and creators in the future will be able to develop their own AI digital doubles to respond to fans and handle business interactions. In social commerce, Meta has promoted new features in multiple countries, allowing merchants to link product catalogs to Reels, turning content creation directly into digital storefronts with shopping functions.
Digital legacy management patent, Meta envisions users continuing to post after death
Meta’s application of digital doubles extends into the realm of life rights. A recent patent document shows that Meta is exploring the possibility of using AI to imitate the behavior patterns of deceased users. This technology analyzes users’ posts, comments, likes, and private messages made during their lifetime to train a robot that can mimic their personality and tone, keeping the account active after the user’s death.
This “AI clone” can automatically post updates, reply to friends’ messages, and even communicate via voice or video calls with the living. Meta states in the patent that when influential users or loved ones disappear, it can impact the social network experience, so AI clones could fill this emotional void. This concept is similar to a previous Microsoft patent involving AI chatbots that simulate interactions with deceased individuals. Both involve mimicking interactions with the departed.
This technology has sparked fierce criticism on social platforms. Users compare it to plotlines from the sci-fi series “Black Mirror,” expressing concerns about commercialization of the deceased and potential use by scam groups. Scholars point out that the human experience of grief relies on facing genuine loss; superficial resurrection via AI clones could cause psychological confusion or hinder normal mourning. Meta clarifies that patent applications are for protecting the technology concept and do not necessarily mean the feature will be implemented.
Related news: Black Mirror come true? Meta’s new patent “AI Clone” allows posting after death, sparking major ethical debates
Ethical and privacy challenges, the double-edged sword of digital doubles
As virtual avatar technology moves toward implementation, issues of rights and legality are emerging. Meta’s internal development of Zuckerberg’s AI avatar faces blurred boundaries of authority, as employees might treat AI responses as official directives during conversations with the AI CEO. If the AI offers incorrect advice, accountability and legal responsibility remain in a gray area.
Privacy and data security are another major concern. Training hyper-realistic doubles requires vast amounts of personal biometric data, including facial capture and voice samples. For ordinary users, this involves rights over digital legacy after death; for companies, it risks leaking confidential strategic information. Meta has previously faced regulatory scrutiny over inappropriate comments made by AI chatbots, highlighting how AI agents without proper governance can cause social conflicts.
Despite ongoing controversy, Meta remains committed to developing AI agency. From testing stablecoin payments with Japanese financial institutions to developing 3D virtual avatars, the integration of blockchain and AI technologies is attempting to redefine the boundaries between the physical and digital worlds. In the future, information received on social media may come from real people or perfectly trained AI doubles. This technology shortens human distance but also challenges the value of authenticity.