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Business
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Meta Trims Employee Share Awards Again, With Equity Pay Reduced for a Second Year Running

By
Distilled Post Editorial Team

Meta to Cut Employee Stock Awards for Second Consecutive Year to Fund AI and Infrastructure

Meta Platforms Inc., the technology giant overseeing Facebook, Instagram, and Threads, has announced a significant adjustment to its employee compensation structure for the second consecutive year, primarily targeting a reduction in annual stock-based awards. For 2026, the company plans to decrease stock-based compensation for the majority of its workforce by approximately 5%. This follows a more substantial cut of about 10 % that was implemented for the 2025 compensation cycle. This repeated strategic move, widely reported as being driven by the operational and financial directives of CEO Mark Zuckerberg, represents a deliberate effort to reallocate substantial financial capital away from employee equity and towards the company's most aggressive and capital-intensive priorities: advanced artificial intelligence (AI) development and the expansion of its core large-scale infrastructure projects.

Details of the Compensation Shift

The mechanism for this compensation shift primarily involves equity awards, which are conventionally granted to employees in the form of Restricted Stock Units (RSUs). RSUs are a cornerstone of the typical Silicon Valley compensation package, as they are designed to align employees' long-term financial interests with the sustained performance and valuation of the company. The 2026 reduction means that whilst the majority of Meta employees will see a decrease of around 5 %  in the volume of stock allocations they receive, their base salaries and the discretionary bonus components of their pay packages are set to remain stable, or 'unchanged' as per company announcements. Concurrently, however, Meta is undertaking a major overhaul of its internal performance review and reward systems. This restructuring is intended to create a more direct and impactful linkage between exceptional performance and increased financial reward, potentially through mechanisms such as the issuance of larger cash bonuses or the application of enhanced stock multipliers specifically for the highest-tier performers. Despite these potential increases for top talent, for a vast segment of the employee base, this reduction in the frequency and volume of 'equity refreshers'—the periodic grants of new stock—is expected to have a noticeable and material impact on their total annual compensation. This is due to the established reality in the tech sector that equity traditionally constitutes a substantial, and often the largest, portion of overall employee earnings, particularly for tenured staff.

Massive Capital Investment in AI and Infrastructure

This decision to curb the allocation of new stock awards is directly linked to and supports Meta's exceptionally ambitious capital expenditure plans for 2026. These plans project a massive investment in infrastructure and AI development, with a financial range estimated to be between $115 billion and $135 billion. These colossal funds have been explicitly earmarked for several key initiatives. Primarily, they are dedicated to the construction and commissioning of gigawatt-scale data centres across various locations in the United States, which are essential for housing the processing power required for AI. Secondly, a significant portion is dedicated to fuelling the intensive research and development necessary for building and deploying next-generation AI systems, including powerful large language models and other generative AI technologies. This aggressive financial prioritisation unequivocally underscores the fiercely competitive landscape in which Meta operates, directly challenging major industry rivals such as OpenAI, Google, and Microsoft, all of whom are vying for dominance in the rapidly evolving generative AI space. The financial realignment represents a key component of Meta’s broader corporate transformation. This transformation involves a strategic streamlining of costly, non-essential, or speculative ventures. A prime example of this streamlining is the Reality Labs division, which is focused on the Metaverse and has recently experienced a 10 per cent staff reduction and has accumulated staggering losses exceeding $70 billion. The reallocation of capital from these areas and from employee equity serves to sharpen the company's focus almost entirely on commercially viable and high-potential AI development.

Employee Reactions and Industry Context

The implementation of successive cuts to employee equity awards has predictably generated a spectrum of reactions amongst the company's extensive global staff. On one hand, many employees maintain a pragmatic perspective, acknowledging that Meta continues to offer highly competitive base salaries compared to industry standards. On the other hand, a significant number of employees express serious concerns that the continual shrinking of equity allocations fundamentally erodes the sense of personal ownership and diminishes the visibility of the long-term financial rewards that have historically been deeply valued by technology workers. The deeper 10 %  reduction applied in 2025 reportedly caused a considerable degree of internal unease and concern amongst the workforce, particularly because it occurred during a period when Meta’s corporate shares were trading near, or even at, all-time historic highs. Equity compensation is not merely a component of pay; it serves as a critical tool for employee retention, acts as a powerful financial incentive, and is essential for fostering a genuine ownership culture within a technology company. Therefore, two consecutive years of reductions signal a distinct and noticeable tightening of compensation generosity. This tightening comes at a time of intense global competition for the world’s most elite AI engineering talent. Meta’s strategic compensation shift is a clear reflection of a broader industry-wide trend where major technology companies are attempting to find a delicate balance. This balance involves managing the extraordinary high capital expenditure requirements needed for building advanced AI and cloud infrastructure whilst simultaneously evolving their compensation models. The typical outcome of this evolution is an emphasis on enhancing immediate cash incentives and bonuses for the most elite, high-demand talent, coupled with a simultaneous moderation or reduction of equity grants for the wider general workforce.