Meta Platforms is overhauling executive compensation with a high-risk, performance-driven equity package, introducing stock options as it intensifies efforts to retain top leadership amid a costly and escalating race in artificial intelligence.
Regulatory filings show the company has extended the new option grants to a core group of senior executives, including chief financial officer Susan Li, chief technology officer Andrew Bosworth, chief product officer Chris Cox, chief operating officer Javier Olivan, president Dina Powell McCormick, and chief legal officer Curtis Mahoney. Chief accounting officer Aaron Anderson will receive only restricted stock.
The move marks a notable shift for Meta, which has historically relied heavily on restricted stock units rather than options. The new structure ties a significant portion of executive compensation to long-term share price performance, effectively aligning leadership rewards with the company’s ability to translate its AI investments into sustained market value.
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The scale of the targets underscores the ambition and the risk as executives must see Meta’s stock climb at least 88% from current levels to unlock the lowest tranche of options, implying a share price of about $1,116. The most aggressive tier requires a more than sixfold increase, pushing the stock toward $3,700. Shares closed at $592.92 on Tuesday.
The options are structured with a long-dated horizon. Meta must meet the performance thresholds by February 2028 for full vesting, though unvested awards may continue to vest in instalments through 2030. Any options not exercised by March 2031 will expire. The extended timeline is designed to anchor senior leadership through a period when competitive pressures in AI are expected to intensify.
A Meta spokesperson described the package as a “big bet,” noting that payouts depend entirely on substantial future gains in shareholder value. The structure effectively defers compensation while increasing its potential scale, a trade-off that reflects the company’s strategic priorities.
The equity overhaul comes as chief executive Mark Zuckerberg pushes the company deeper into generative AI and so-called superintelligence research, areas that require sustained capital investment and scarce technical expertise. Meta has already offered compensation packages worth hundreds of millions of dollars to recruit leading AI researchers, signaling how competition for talent has become as critical as competition for products.
Other technology firms are making similar moves, but Meta’s approach stands out for its reliance on extreme performance thresholds. By linking rewards to share price multiples rather than incremental gains, the company is effectively asking executives to deliver outsized growth in a market where expectations are already elevated.
The compensation shift follows the pattern of large technology companies incentivizing leadership during the AI transition. With spending on data centers, chips, and model development accelerating, investors are increasingly focused on returns from those investments. Meta is attempting to bridge that gap by tying executive pay to long-term equity performance, showing confidence that its AI strategy can deliver meaningful financial upside.
At the same time, the structure introduces clear execution pressure. The share price targets imply not only strong revenue growth but also sustained margins and market leadership in a field where competition from rivals continues to intensify.
The inclusion of newly appointed executives such as Powell McCormick and Mahoney suggests Meta is also using compensation to stabilize a leadership team that has seen periodic reshuffling in recent years. Ensuring continuity at the top is likely to be critical as the company navigates both technological shifts and investor scrutiny.
The plan offers a straightforward proposition of executive rewards, which will scale only if the company’s valuation expands dramatically. But for Meta’s leadership, it raises the bar considerably. The company is no longer just competing to build advanced AI systems—it is tying the fortunes of its top executives to the market’s verdict. The market will judge whether those systems can redefine its growth trajectory.