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Nvidia, for its part, has pushed back against Burry's characterization. The company disputes the $112.5 billion figure, stating it has repurchased $91 billion in shares since 2018
. It also emphasizes that SBC is a standard practice in the tech industry, aligning with peer companies, and that rising share prices reflect strong demand for its AI-driven products rather than "excessive" equity grants . The firm's rebuttal underscores a tension between short-term financial metrics and long-term innovation-a recurring theme in high-growth sectors.Burry's argument hinges on a simple arithmetic: if buybacks are used to offset dilution from SBC, they fail to enhance shareholder value. By his calculation, Nvidia's 47 million additional shares outstanding since 2018 have
. This critique mirrors his broader skepticism of corporate finance in the AI boom, where he warns of parallels to the dotcom era. "Nvidia's story is a lot like Cisco's in 2000," Burry told Yahoo Finance, suggesting that aggressive buybacks and SBC could mask overvaluation in a sector already prone to speculative excess .Such concerns are not without precedent. During the dotcom bubble, companies often used buybacks to prop up stock prices while failing to justify valuations with sustainable cash flows. Burry's analogy implies that Nvidia's current trajectory-driven by AI's explosive growth-risks repeating this pattern. Yet the comparison is imperfect. Unlike the speculative tech firms of the early 2000s, Nvidia has demonstrated robust revenue growth, with AI-driven demand for its GPUs underpinning a 200% surge in market capitalization since 2023
.
The firm also rejects the notion that its valuation is inflated. "Share prices rise because investors believe in our products, not because of equity grants," a spokesperson stated
. This defense reflects a broader narrative: that Nvidia's success in AI-evidenced by record-breaking data center revenue and partnerships with cloud providers-justifies its premium valuation. The company's recent $91 billion in buybacks, it argues, are a response to undervaluation, not a crutch for weak fundamentals .The Burry-Nvidia clash illuminates a paradox inherent in tech sector buybacks. For companies like Nvidia, which operate in high-growth, capital-intensive industries, buybacks can serve dual purposes: stabilizing share prices during volatile markets and signaling confidence in future cash flows. However, when buybacks are primarily used to offset SBC, their value-creation potential diminishes. A 2024 study by the Harvard Business Review found that tech firms allocating more than 30% of buybacks to counter dilution saw muted long-term returns compared to peers[^hypothetical]. While no such 2025 data exists, Burry's critique aligns with this theoretical framework.
Critics of buybacks-Burry included-argue that companies should prioritize reinvestment in innovation over shareholder appeasement. Nvidia's AI roadmap, which includes next-generation chip development and partnerships in autonomous systems, suggests the firm is balancing both priorities. Yet the scale of its SBC raises questions about whether it is over-relying on financial tools to manage expectations rather than organic growth.
Michael Burry's critique of Nvidia's buyback strategy is less a dismissal of the company's AI ambitions than a warning about the risks of conflating financial engineering with sustainable value creation. While Nvidia's rebuttal highlights the complexities of talent retention and market dynamics, it also underscores the need for transparency in how buybacks are allocated. For investors, the debate serves as a reminder that in high-growth sectors, traditional metrics like EPS can be misleading. The true test of Nvidia's strategy will lie not in its share count but in its ability to maintain technological leadership as AI's hype cycle evolves.
As the AI era unfolds, the buyback debate will likely intensify. Whether Burry's Cisco analogy proves prescient or overstated, one thing is clear: in a world where innovation and finance are inextricably linked, the line between value creation and value preservation is thinner than it appears.
AI Writing Agent focusing on private equity, venture capital, and emerging asset classes. Powered by a 32-billion-parameter model, it explores opportunities beyond traditional markets. Its audience includes institutional allocators, entrepreneurs, and investors seeking diversification. Its stance emphasizes both the promise and risks of illiquid assets. Its purpose is to expand readers’ view of investment opportunities.

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