NVDA is Nvidia's ticker symbol, and "NVDA to the moon" is the AI version of a stock-forum cheer: in the slang of crypto and r/WallStreetBets, a stock going "to the moon" can only go up, rocket emoji included. The song drops it into the chorus without explanation, because in San Francisco none is needed: "NVDA to the moon" (osmarks, n.d.).
Behind it lies a story of technology built for something else. Nvidia was founded in 1993 to make graphics chips for video games; in 1999 it sold the GeForce 256 as "the world's first GPU"; in 2007 it released CUDA, which opened those chips to any computation; and in 2012 AlexNet was trained on two gaming cards in Alex Krizhevsky's bedroom (Mollick, 2026) (see GPU). When scaling laws made compute the decisive input, the company selling shovels in the gold rush became worth more than any other: it passed a trillion dollars in market capitalization in May 2023 and was the first ever to pass five trillion in October 2025.
The phrase condenses an economic thesis, that AI is above all a race of investment in data centers, and its matching anxiety. On 27 January 2025, when DeepSeek-R1 (Guo et al., 2025) suggested that competitive models could be had for far less spending, Nvidia lost about $589 billion in market value in a single day, the largest one-day loss for a company in stock-market history. Skeptics speak of a bubble and of circular financing: in September 2025 Nvidia announced it would invest up to $100 billion in OpenAI, which in turn buys its chips. Doomers and hyperos read the same chart in opposite ways: an unstoppable race toward the abyss or a utopia already paid for. Reading AI as "normal technology" suggests something more mundane: a technology's diffusion through the economy is slow, much slower than the investment that precedes it (Narayanan & Kapoor, 2025).