Target price $250! Top Wall Street analysts claim: NVIDIA Corporation(NVDA.US) AI feast is only in its third year.

date
16:54 26/12/2025
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GMT Eight
Dan Ives, a senior technology analyst at Wade Bush Securities, recently set a target price as high as $250 for Nvidia.
In the field of technology stock investment, the rise of NVIDIA Corporation (NVDA.US) is undoubtedly a remarkable story. Dan Ives, an analyst at Wedbush Securities, recently gave a target price of up to $250 for NVIDIA Corporation, a bold prediction that has attracted widespread attention in the market. Ives believes that Wall Street has yet to fully appreciate the huge profit potential of NVIDIA Corporation in the field of artificial intelligence, especially its critical role in the AI technology system from training to reasoning to actual deployment. This article will delve into NVIDIA Corporation's transformation from a gaming graphics card company in the early days of the COVID-19 pandemic to becoming a core force in the computing new era, and its astonishing growth in market value to over $4 trillion in just a few years. It will also analyze the sources of Ives' confidence in the future development of NVIDIA Corporation, including its strategic positioning in the AI field, market positioning, and the long-term growth potential brought by the early adoption of AI by companies. How did NVIDIA Corporation become the king of AI infrastructure in three years, from gaming cards? In the years when the COVID-19 pandemic ravaged, the reports on NVIDIA Corporation in the market mostly focused on its gaming graphics card business. According to StatMuse statistics, by the end of November 2021, after stock splits adjustment, NVIDIA Corporation's stock price was around $32, which is almost equivalent to the cost of two meals at McDonald's Corporation. Of course, it was still considered a stable performing tech stock, with a market value of $81 billion, but it was far from being a core force in the field of artificial intelligence. Fast forward to the end of 2022, OpenAI released the omnipresent AI chatbot GPT, and suddenly, the development trajectory became clear. Almost overnight, NVIDIA Corporation went from being a niche tech investment target to becoming a key component of the computing new era. According to Standard Pool Corporation global company data, from 2024 to 2025, NVIDIA Corporation's market value surged to over $3 trillion, and then surpassed $4 trillion (worth 50 times that of the end of 2021). If an investor had put $10,000 into NVIDIA Corporation about three years ago, that investment might have now transformed into a staggering $123,000, with an increase of 1132%. In the past year, NVIDIA Corporation has brought about a return of about 40% for investors. Since then, the narrative has continued to expand, and NVIDIA Corporation has become a key player in the arms race of artificial intelligence. NVIDIA Corporation's AI dividend continues to generate, with Dan Ives shouting out a target price of $250 This background helps explain why Wedbush Securities analyst Dan Ives continues to strongly recommend it. Ives believes that the market still underestimates the scale and duration of the artificial intelligence building. He has set an eye-popping target price for NVIDIA Corporation, expecting its stock price to reach $250 by the end of 2026, which means a 32.5% increase from the current $188.61 (as of December 24th closing price). Ives is betting that some investors may have just missed the beginning of the AI story. Dan Ives is the Managing Director and Global Technology Research Director at Wedbush Securities, and one of the most commonly cited analysts in the technology sector on Wall Street. What sets him apart is his boldness in giving large numbers when discussing major themes and then explaining the logic behind them in simple language on TV. Ives has built an outstanding reputation in the industry by being early in the tech cycle. He is involved in a wide range of areas, including cloud computing, electric vehicles, and the current stock market boom driven by artificial intelligence. His investment strategy is characterized by seeking long-term and sustainable growth, focusing on catalyst-driven technologies, and maintaining keen insight and attention to major platform shifts. To provide a visual reference, on the TipRanks website, Ives is rated as a five-star analyst. Astonishingly, with over 500 ratings, his success rate is as high as 56%, and the average return per rating is about 16%. His past performance is remarkable, especially when he makes bold predictions, which adds credibility and persuasiveness to his analysis. Why does Dan Ives believe that NVIDIA Corporation can reach $250 by the end of 2026? In Ives' view, his prediction of NVIDIA Corporation reaching $250 is entirely based on the profit potential that Wall Street has yet to fully model. In an interview, he pointed out that the market still underestimates the critical role that NVIDIA Corporation plays in various parts of the artificial intelligence technology system, covering all aspects from training to reasoning to actual deployment. His incredible confidence in this stock mainly stems from NVIDIA Corporation's massive scale and market positioning. NVIDIA Corporation is upstream of giant cloud service providers, enterprises, and governments, which are all racing to advance artificial intelligence infrastructure. NVIDIA Corporation's timeline for reshaping financial performance within three years: January 2022: $9.8 billion, the benchmark year before artificial intelligence profits began to show. January 2023: $4.4 billion (a 55% decrease year-on-year), a year of declining performance as the demand from video game giants in gaming-related and data center declined before the AI boom. January 2024: $29.8 billion (a 581% increase year-on-year), a turning point for artificial intelligence. January 2025: $72.9 billion (a 145% increase year-on-year), the scale effect starts to take effect, profit margins increase significantly, and NVIDIA Corporation's dominant position in the AI field is reflected in profits. The past 12 months: $99.2 billion, an income level running on an annualized basis that was hard to imagine just two years ago. Ives further points out that given that the adoption of AI by companies is still in the early stages and the current complex and evolving geopolitical landscape, capital markets have not yet priced the rational evaluations. Therefore, even if the predicted numbers show only a slight increase, the related calculations will quickly tend to be rational. After all, the development of artificial intelligence is still in its nascent stage. According to Ives, the biggest mistake that investors continue to make is that they think the investment market in the field of artificial intelligence is already too crowded. In reality, he believes the situation is quite the opposite; the market is only in the third year of an eight to ten-year construction cycle, which is why the market's turmoil hasn't broken the underlying trend. To further clarify his point, he stated that currently only about 3% of companies in the U.S. are effectively using artificial intelligence, with most companies still in the evaluation or pilot stage. Therefore, Ives is less concerned about the hype cycle and pays more attention to companies' related spending. Companies are now budgeting rather than just experimenting as in the past. In fact, Goldman Sachs Group, Inc. stated that by 2026, AI companies may invest over $500 billion, noting that analysts have consistently underestimated the scale of capital expenditure. The growth rate of capital spending related to AI infrastructure has far exceeded expectations, surprising investors who were previously too worried about market corrections just a year ago. Moreover, Ives also points out that a major political shift is taking place and having an impact. He believes that for the first time in decades, the U.S. has regained a decisive lead over China in core technology areas, adding a new dimension to the AI story.