Nvidia (NASDAQ: NVDA), the most profitable is artificial intelligence boom, closed the session on Friday with a market capitalization of about $4.663 trillion.
As investors consider which company could be the first to reach the $10 trillion mark, Finbold asked. ChatGPT to estimate how long Nvidia can achieve the event.
Based on his current calculations, a semiconductor the giant would need to grow its market capitalization by about 114.5% to reach $10 trillion.

After analyzing the company’s growth, Wall Street predictions, how AI is being used, and product development strategies, ChatGPT suggests that Nvidia could hit $10 trillion between 2029 and 2031.
Nvidia Stock Basics
Of course, Nvidia’s growth continues to grow money in AI architecture. The company reported revenue of $81.6 billion, up 85% year over year, and its data business remained the main driver of growth.
Meanwhile, Microsoft, Amazon, Meta Platforms, and Alphabet continue to invest billions in AI infrastructure, continuing the demand for Nvidia products.
Analysts are increasingly speculating that this spending trend is long-term, while the high demand for Blackwell’s platform and the growing interest in Vera Rubin’s upcoming design offer additional incentives.
According to ChatGPT’s analysis, the best-looking scenario could see Nvidia reach a $10 trillion valuation in late 2027 or 2028, supported by continued growth, successful Blackwell deployments, strong margins, and continued AI-driven demand.
Future forecasts expect Nvidia’s annual revenue to increase from $216 billion in its last fiscal year to about $392 billion in fiscal 2027 and about $552 billion in fiscal 2028.
Good time for Nvidia to hit $10 trillion in market cap
However, ChatGPT sees 2029 to 2031 as the most likely time frame, estimating that reaching the $10 trillion market cap would require annual investments of $700 billion to $1 trillion along with continued leadership in AI chips, networks, and Enterprise AI.
This period also depends on the size of the tree. At a market growth rate of 20% per year, Nvidia will 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 saw a number of risks, including US restrictions on China, increased competition from AMD and AI processing chips, and the possibility of reduced use of AI infrastructure, all of which could slow Nvidia’s path to $10 trillion.





