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Business · AI

Meta Engineers New Non-Voting Equity to Fund AI Expansion

The tech giant will issue a new class of shares to raise capital for AI without diluting the voting control of current stakeholders.

By Xiaoyu Wang ·

Meta Platforms is restructuring its equity architecture to finance an aggressive expansion into artificial intelligence, a move that pits the need for massive capital against the company’s desire to retain centralized decision-making authority. By creating a new category of shares that lack voting rights, the company aims to tap into public markets for funding while keeping the strategic levers firmly in the hands of existing Class A and Class B holders.

The financial details emerged during the company’s third-quarter earnings report released this week. CFO Susan Li confirmed the issuance of a new class of non-voting capital stock, which will be distributed to current shareholders as a stock dividend. Li explained that this instrument is designed specifically for capital raising, employee compensation, and acquisitions, all while preserving the voting power of the incumbent shareholder base. This structure allows Meta to expand its funding tools and invest in what Li described as the "unprecedented momentum" driven by AI across its business units.

The timing of this financial maneuver coincides with a quarter of strong top-line performance, though costs have surged. Meta reported $64 billion in revenue, a 26% increase from the same period last year. However, the company’s costs and expenses climbed 68% year-over-year, reflecting the heavy investment required to support its new initiatives. Despite the revenue beat, the company continues to grapple with significant losses in its Reality Labs division, which manages augmented reality glasses and virtual reality headsets. Management expects these losses to narrow from 2025 levels to a range of $18 billion to $19 billion.

CEO Mark Zuckerberg detailed the progress of Meta’s AI portfolio, which has seen rapid development over the past year. The company recently released several models, including Muse Spark, Muse Glimmer, and Muse Wonder, alongside Muse Spark Open, an open-weight model whose parameters are available to outside developers. Meta also introduced Muse Code, a coding agent for software developers. At its recent Meta Connect event, the company unveiled a new line of avatars for its AI assistant, Meta Muse, aiming to make the technology more relatable and shareable.

Zuckerberg cited strong adoption metrics to justify the continued investment. He noted that in just six weeks, more than 10 million users in the U.S. and Canada have set up Muse personal agents. The product has maintained the number one position in the App Store on nearly every day of that period. Zuckerberg stated that with clear product-market fit established, the company is entering an operational phase focused on scaling the service to eventually serve billions of people.

The new share structure is intended to protect Meta’s founder-led governance model. By issuing non-voting shares, the company can raise funds for its AI buildout without altering the balance of power among its primary stakeholders. This approach provides the flexibility to allocate resources to high-growth areas without the administrative complexity of traditional voting stock issuances.

However, the company’s financial outlook is not without external pressures. Li acknowledged that ongoing regulatory and legal matters could significantly impact business results. The firm is currently facing scrutiny regarding youth-related issues in several markets, with multiple trials scheduled in the coming months in the United States. These legal challenges represent a persistent risk factor as Meta balances its ambitious growth strategy against its compliance obligations.

The issuance of non-voting stock signals a strategic shift in how Meta manages its balance sheet. By separating capital raising from voting rights, the company creates a more efficient mechanism for funding its AI infrastructure. This move underscores the increasing complexity of corporate finance in the tech sector, where rapid technological shifts require flexible capital structures that traditional equity models may not adequately support.

Source: TechCrunch

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