Nvidia (NASDAQ: NVDA), the biggest beneficiary of the artificial intelligence boom, closed the Friday session with a market capitalization of approximately $4.663 trillion.
As investors speculate about which company could become the first to reach a $10 trillion valuation, Finbold consulted ChatGPT to estimate when Nvidia might achieve the milestone.
Based on its current valuation, the semiconductor giant would need to increase its market capitalization by about 114.5% to reach $10 trillion.
After analyzing the company’s revenue growth, Wall Street forecasts, AI infrastructure spending trends, and product roadmap, ChatGPT projected that Nvidia is most likely to hit the $10 trillion mark between 2029 and 2031.
Nvidia stock fundamentals
Notably, Nvidia’s growth continues to be fueled by heavy investment in AI infrastructure. The company reported quarterly revenue of $81.6 billion, up roughly 85% year-over-year, with its data center business remaining the main growth driver.
Meanwhile, Microsoft, Amazon, Meta Platforms, and Alphabet continue investing billions in AI infrastructure, sustaining demand for Nvidia’s products.
Analysts increasingly view this spending cycle as a long-term trend, while strong demand for the Blackwell platform and growing interest in the upcoming Vera Rubin architecture provide additional growth catalysts.
According to ChatGPT’s analysis, the most bullish scenario would see Nvidia reach a $10 trillion valuation as early as late 2027 or 2028, supported by sustained growth, successful Blackwell deployment, strong margins, and continued AI-driven demand.
Analyst forecasts project Nvidia’s annual revenue to increase from about $216 billion in its last fiscal year to nearly $392 billion in fiscal 2027 and around $552 billion in fiscal 2028.
Ideal timeline for Nvidia hitting $10 trillion market cap
However, ChatGPT considers 2029 to 2031 the most likely timeframe, estimating that reaching a $10 trillion valuation would require annual revenue of $700 billion to $1 trillion alongside continued leadership in AI chips, networking infrastructure, and enterprise AI.
The timeline also depends on valuation growth. At 20% annual market cap growth, Nvidia would reach $10 trillion in about 4.2 years, compared to 3.4 years at 25%, 2.9 years at 30%, and 2.1 years at 40%.
However, ChatGPT noted several risks, including U.S. export restrictions on China, growing competition from AMD and custom AI chips, and the possibility of slowing AI infrastructure spending, all of which could delay Nvidia’s path to $10 trillion.
