Nvidia is preparing the largest share buyback in US corporate history at a time when global investment in artificial intelligence continues to accelerate. The chipmaker’s board has approved a $150bn increase to its repurchase programme, surpassing Apple’s previous record of $110bn announced in 2024.
The decision brings Nvidia’s total authorised buybacks to as much as $235bn before January 2028. It also highlights an unusual combination: Nvidia is returning enormous amounts of capital to shareholders while its revenues and profits are still forecast to expand rapidly.
A $150bn Signal from the AI Market Leader
Share buybacks of this scale are typically associated with mature companies generating more cash than they can efficiently reinvest. Nvidia presents a different case. Its revenues are forecast to increase by approximately 90% this year as technology companies continue to invest heavily in computing infrastructure for artificial intelligence.
Goldman Sachs expects AI investment to exceed $1tn this year. Nvidia occupies a central position in this spending cycle because its processors provide much of the computing capacity used to train and operate large language models and other advanced AI systems.
The company’s customer base reflects the scale of this infrastructure race. OpenAI, Anthropic and SpaceX are among major buyers, while Google purchases Nvidia products through its cloud computing business despite developing its own AI processors.
Cash Generation Reaches a New Scale
The financial figures behind the buyback demonstrate how quickly AI infrastructure spending has transformed Nvidia. The company generated almost $100bn in free cash flow during its most recent financial year ending in January. Consensus estimates from S&P Global’s Visible Alpha forecast that annual free cash flow could more than triple to $329bn in fiscal 2028.
Profit expectations are similarly substantial. Nvidia’s net income is forecast to more than double to $245bn in the current financial year and then rise to $387bn in the following fiscal year ending in January 2028.
If these forecasts materialise, Nvidia would have significant capacity to finance research, product development and expansion while simultaneously returning capital to shareholders. CEO Jensen Huang said the new programme reflected confidence in the long-term opportunity created by the shift towards AI and accelerated computing.
Growth Remains Strong, but Share Momentum Is Slowing
Nvidia’s market performance since the emergence of generative AI has been exceptional. Its shares have gained more than 1,200% since OpenAI launched ChatGPT in late 2022, helping Nvidia become the world’s most valuable company.
However, the pace of share-price growth has moderated. Nvidia shares have risen about 20% in 2026, considerably slower than during the earlier stages of the AI investment boom. The stock gained another 1.7% following the latest announcement.
The slowdown comes as investors increasingly examine whether current levels of AI infrastructure spending can be sustained. The question is becoming more important as technology companies commit increasingly large amounts of capital to data centres, computing capacity and AI model development.
Buybacks and the Next Stage of AI Growth
Large repurchase programmes can send several signals. Companies may use them when management considers the stock undervalued, when cash generation exceeds immediate investment requirements or when a business reaches a more mature stage of development. Apple’s $110bn programme in 2024, for example, came as iPhone growth was slowing while the company continued to generate substantial profits.
Nvidia’s situation is different because its core business is still expanding rapidly. A forecast 90% increase in annual revenue alongside a record buyback suggests that the company’s cash generation is growing faster than even its substantial investment requirements.
This creates an important test for the broader AI economy. Nvidia’s financial performance currently reflects enormous capital expenditure across the technology sector. Continued growth will therefore depend not only on demand for chips, but also on whether customers can generate sufficient economic value from the AI infrastructure they are building.
What Businesses and Investors Should Watch
The next phase of the AI investment cycle will increasingly be measured through financial returns rather than infrastructure spending alone. Capital expenditure by cloud providers, demand for advanced processors and Nvidia’s free cash flow will remain important indicators of the sector’s direction.
Competition will also matter. Major technology groups are developing proprietary processors and alternative computing architectures, even while many remain significant Nvidia customers. Changes in this balance could influence pricing, margins and the distribution of value across the AI supply chain.
Nvidia’s $150bn buyback therefore represents more than a historic capital return. It illustrates the extraordinary amount of cash being generated at the centre of the AI infrastructure boom. With up to $235bn authorised for repurchases and free cash flow forecast to reach $329bn in fiscal 2028, the company’s capital allocation decisions provide another indicator of how rapidly the economics of artificial intelligence are evolving.