10 Stocks That Will Make You Rich In 3 Years

3. NVIDIA Corporation (NASDAQ:NVDA)

Number of Hedge Fund Holders: 223

Analysts Upside Potential: 39.74%

NVIDIA Corporation (NASDAQ:NVDA) is an international technology company known for its graphics processing units, which are powering the AI technology. The company also engages in developing sophisticated computer infrastructure and software that allows effective AI applications.

On May 6, NVIDIA Corporation (NASDAQ:NVDA) reported that it, along with ServiceNow, has introduced a powerful new AI coworker for service teams. AI is designed to work alongside human employees, bringing advanced reasoning, automation, and productivity enhancements to enterprise workflows. Earlier in March, the company had reported that it is also building a quantum research center in Boston to advance its research in quantum computing.

Financially speaking, NVIDIA Corporation (NASDAQ:NVDA) has been making strides in growing its revenue. During the fiscal fourth quarter of 2024, the company grew its revenue by 78% year-over-year, driven by its Data Center segment, which has been consistently posting record quarters. It is one of the best stocks that will make you rich in 3 years.

Ithaka US Growth Strategy stated the following regarding NVIDIA Corporation (NASDAQ:NVDA) in its Q1 2025 investor letter:

“NVIDIA Corporation (NASDAQ:NVDA) is the undisputed leader in accelerated computing, with dominant market share in Graphics Processing Units (GPUs) powering AI workloads across data centers, edge devices, and emerging platforms. Its end-to-end ecosystem—from silicon to software (CUDA, networking, and AI frameworks)—creates high switching costs and a widening competitive moat. With secular demand for AI infrastructure still in its early innings, Nvidia stands to benefit from sustained topline growth and strong operating leverage. In early January, a little known Chinese AI company, DeepSeek, released its large language model (LLM), DeepSeek-R1, to an unexpecting world. This model was purportedly trained on very few high-end Nvidia chips and was highly efficient when compared to other leading models. This release set off a chain reaction where investors have had to grapple with the idea that the world may not need as many GPUs as previously thought, which hampered the Nvidia buy case and sent the P/E multiple down to its cheapest level in the past 5 years.”