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We asked DeepSeek AI what will be Nvidia stock price at end of 2025

We asked DeepSeek AI what will be Nvidia stock price at end of 2025

So far 2025 has been rather unfavorable for Nvidia (NASDAQ: NVDA). While it was one of the best-performing stocks in the S&P 500 index last year, Nvidia shares have struggled to meaningfully move to the upside since January.

Three key catalysts led to the stock’s price stalling out or moving downward. After a series of standout quarterly reports, it has become increasingly difficult for the company to impress investors

The unexpected overnight success of the Chinese artificial intelligence (AI) model DeepSeek, which reportedly cost much less to train when compared to other models, brought doubts regarding the necessity of high spending when it comes to AI.

Meanwhile, Donald Trump’s imposition of tariffs, which likely won’t have a direct impact on Nvidia stock, has nevertheless injected even more uncertainty into markets — and tech companies with high valuations tend to suffer from such circumstances.

With that being said, by press time on February 14, the price of NVDA shares had recovered somewhat to $135.65 apiece — bringing year-to-date (YTD) returns up to 1.01%.

NVDA stock price year-to-date (YTD) chart. Source: Finbold
NVDA stock price year-to-date (YTD) chart. Source: Finbold

Given the heightened volatility around the chipmaker, Finbold consulted DeepSeek, also available via Finbold’s own AI price prediction tool, for additional insight into what price the stock could be trading at by the end of the year.

DeepSeek identifies key Nvidia stock price drivers

When prompted, the Chinese AI model first outlined several key drivers behind Nvidia’s price action. It started off by highlighting the strong revenue growth that the company’s Blackwell platform is expected to provide going forward.

Next up, DeepSeek noted Nvidia’s dominant position in the wider AI GPU market and cited demand from major tech companies and emerging industries as a source of sustainable revenue growth that could drive further capital appreciation for Nvidia stock.

Finally, the AI model reflected on Nvidia’s history of operational excellence and focus on innovation as bullish catalysts.

Key drivers behind DeepSeek's Nvidia stock price forecast. Source: DeepSeek
Key drivers behind DeepSeek’s Nvidia stock price forecast. Source: DeepSeek

On top of the aforementioned factors, the large language model (LLM) noted that the chipmaker enjoys a first-mover advantage over competitors and that its ability to develop tailored solutions for restricted markets gives it a degree of protection regarding geopolitical risks.

DeepSeek predicts NVDA stock price for December 31, 2025 

With the key drivers behind Nvidia’s price action taken care of, DeepSeek went on to outline the valuation methodology it used to set a price forecast. The AI model employed a forward-looking earnings growth approach and applied a healthy premium to the semiconductor company’s estimated earnings per share (EPS) in 2025.

Valuation methodology employed by DeepSeek to arrive at an NVDA price target. Source: DeepSeek
Valuation methodology employed by DeepSeek to arrive at an NVDA price target. Source: DeepSeek

Once all was said and done, at an EPS estimate of $4.51 and using the 55x multiple, DeepSeek arrived at a $248 price target for Nvidia stock. This forecast, which is higher than the Street high $220 price target for NVDA stock set by Tigress Financial Partners, implies an 82.82% upside from the current price of an NVDA share.

DeepSeek's NVDA stock price target. Source: DeepSeek
DeepSeek’s NVDA stock price target. Source: DeepSeek

Finally, the AI model noted that potential market saturation, plateauing chip demand, and macroeconomic risks were the key reasons why it did not set an even higher price target.

Despite a sluggish start to the year and a temporary dip, Nvidia appears to remain a relatively safe bet — with healthy demand from a variety of robust industries set to drive further growth in 2025.

Featured image via Shutterstock

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