Nvidia authorizes record $150 billion share repurchase program as it expands AI safety initiatives
Nvidia announced a $150 billion share-repurchase authorization, increasing its remaining buyback capacity to $235 billion and marking the largest stock-buyback program increase in U.S. corporate history, surpassing Apple's prior $110 billion program. The company plans to execute the repurchases through fiscal 2028 while pledging to return 50% of free cash flow to shareholders and maintaining substantial investments across the AI ecosystem. Nvidia paired the capital-return announcement with the launch of its Open Agent Safety Platform, emphasizing CEO Jensen Huang's argument that AI safety advancement should proceed alongside AI capabilities development.
Nvidia's decision to authorize an additional $150 billion in share repurchases reflects the company's substantial earnings capacity. With projected free cash flow of $183 billion this year, the chip manufacturer has committed to returning half of those earnings to shareholders through both dividends and stock buybacks. The company simultaneously raised its quarterly dividend significantly earlier in 2026 and maintains approximately $99 billion in active equity investments across the artificial intelligence sector, demonstrating a dual commitment to shareholder returns and continued technology development.
The buyback authorization exceeds any previous corporate repurchase program in U.S. history by a considerable margin. Apple's $110 billion program, announced in 2024, held the prior record. Nvidia expects to complete the remaining $235 billion in repurchases by the end of fiscal 2028, representing roughly 4.3 percent of its current market capitalization.
The announcement may signal market confidence in sustained artificial intelligence demand and Nvidia's competitive position, potentially influencing investor sentiment toward the semiconductor and AI sectors. Shareholders could benefit from reduced share counts and increased dividends, though long-term impacts depend on execution and market conditions. The company's simultaneous investments in AI safety infrastructure suggest efforts to address regulatory and ethical concerns that could affect industry policy. Broader implications may include effects on capital allocation priorities within technology companies and competitive dynamics in AI development.