Meta Unveils New Non-Voting Shares to Fund AI Expansion

Meta Platforms is restructuring its financial toolkit to finance its aggressive pivot toward artificial intelligence, announcing the creation of a new class of non-voting stock on Wednesday. During the company’s third-quarter earnings call, Chief Financial Officer Susan Li confirmed that the firm will distribute this new equity to all existing shareholders via a stock dividend. This strategic move allows Meta to raise capital for AI development, employee compensation, and acquisitions without diluting the voting power of its current Class A and B shareholders.

Li explained that the new shares are designed to preserve the company’s founder-led governance structure. By separating economic interest from voting rights, Meta gains flexibility to invest in what she described as the unprecedented momentum driving every part of its business. The new instrument effectively creates a publicly traded non-voting stock that can be used for general corporate purposes, providing a dedicated funding tool for the company’s massive AI buildout.

The announcement comes alongside a strong financial performance that exceeded Wall Street forecasts. Meta reported quarterly revenue of $64 billion, marking a 26% increase from the same period last year. However, the cost of fueling this growth is visible, with expenses and costs surging by 68% year-over-year. Despite the strong top-line numbers, the company’s Reality Labs division, which handles augmented reality glasses and virtual reality headsets, remains a financial drag, though the bleeding is slowing.

In its earnings report, Meta projected that Reality Labs losses will shrink from their 2025 levels to a range of $18 billion to $19 billion. This improvement reflects the company’s broader strategy to balance its long-term hardware bets with its high-growth software and AI initiatives. The financial strength in the core business provides the cushion necessary to sustain the heavy investment required for its latest technological pushes.

Over the past year, Meta has accelerated its AI release cycle, launching several distinct models to capture market share. Earlier this year, the company debuted Muse Spark and Muse Glimmer. In recent weeks, it introduced Muse Wonder and Muse Spark Open, the latter being an open-weight model with publicly available parameters that allow external developers to build upon its foundation. Meta also rolled out Muse Code, a specialized agent designed to assist software developers in writing code more efficiently.

At its Meta Connect event earlier this year, the company unveiled a new line of avatars for its AI assistant, Meta Muse. These cute, cuddly digital characters are intended to make the AI services more relatable and shareable, aiming to boost user engagement through personality and meme-ability. This humanizing approach is part of a broader effort to make complex AI technology accessible to a mainstream audience.

The market response to these AI products has been robust, according to leadership. CEO Mark Zuckerberg noted that more than 10 million people in the U.S. and Canada have set up Muse personal agents in just a month and a half. He stated that the product has achieved clear product-market fit, with the company maintaining the number one spot in the App Store almost every day. Zuckerberg added that Meta is now entering a more operational phase focused on scaling the product to eventually serve billions of people.

Despite the optimistic growth narrative, the company acknowledged that regulatory and legal challenges remain on the horizon. Li stated that Meta continues to monitor active legal matters that could significantly impact its financial results. Specifically, the company is facing increased scrutiny regarding youth-related issues in several markets, with multiple trials scheduled in the United States over the coming months.

The introduction of the new stock class signals a shift in how Meta manages its balance sheet to support its AI ambitions. By creating a separate vehicle for capital raising, the company aims to maintain its aggressive growth trajectory while protecting the voting dynamics that have defined its corporate structure. Investors will now watch how this new equity class performs in the market and how effectively it funds the next generation of AI infrastructure.