Nvidia’s market capitalisation surpassing $5 trillion is directly affecting the cryptocurrency market as investment in artificial intelligence (AI) infrastructure expands. AI-related cryptocurrencies such as Bittensor (TAO), Render (RNDR) and Fetch.ai (FET) are watching Nvidia’s results and the trend in AI equipment investment as key variables.

On May 20, blockchain media outlet The Crypto Basic reported that the market is treating Nvidia’s share price moves not as a simple issue for a semiconductor company, but as a leading indicator for decentralised AI infrastructure and on-chain compute demand.

Nvidia shares have recently traded around $222 to $230 and on May 14 posted a record close of $236.74. Its market capitalisation also expanded to about $5.3 trillion.

Market attention has focused on Nvidia’s fiscal 2026 first-quarter earnings release. Nvidia announced that revenue from February to April came to $81.6 billion (about 122 trillion won), up 69 percent from a year earlier.

Behind the revenue record is an expansion in AI investment by big tech companies. Major cloud companies such as Microsoft, Amazon, Google and Meta are expected to spend a total of $660 billion on AI infrastructure in 2026. Nvidia GPUs are at the centre of that AI investment demand. Dan Ives, an analyst at Wedbush, said 2026 would be an inflection point for AI buildouts and that Wall Street was still underestimating demand for Nvidia.

That trend is also linked to the AI cryptocurrency market. Bittensor aims to build decentralised AI infrastructure, while Render operates a distributed network for GPU compute. Fetch.ai is focusing on an ecosystem of autonomous AI agents. The market sees a high likelihood that as the scale of centralised AI investment grows, demand will also expand for decentralised compute, AI agents and on-chain data networks.

There are also assessments that a structure is forming in which Nvidia supplies the AI hardware layer and AI crypto projects build decentralised compute and software layers on top of it. As a result, expectations are rising that prices of AI-related tokens such as TAO and RNDR could move in tandem based on Nvidia’s strong results and product roadmap.

Wall Street’s outlook for Nvidia is broadly optimistic. Morgan Stanley raised its price target to $285 from $260, while Wedbush and Bank of America set $275. Cantor Fitzgerald put forward a projection as high as $300.

The next-generation Rubin GPU architecture unveiled by Nvidia CEO Jensen Huang (젠슨 황) is also a factor adding to market expectations. Rubin is a next-generation AI chip expected to improve performance and efficiency compared with the current Blackwell generation, and is expected to be optimised for large language model (LLM) training and real-time inference work.

Nvidia also said the number of developers for its CUDA platform, cited as a core strength of its AI ecosystem, has surpassed 6 million. The industry assesses that the structure of bundling hardware and software together serves as a strong barrier to entry for Nvidia.

Risk factors also exist. Google is expanding development of its own AI chips such as TPU v6, Amazon is doing so with Trainium2, and Meta with MTIA v2. Some analysts project that customised AI chips could account for about 45 percent of the overall AI chip market in 2028. Another variable is that open-source AI tools such as vLLM and SGLang are evolving in a direction that reduces dependence on specific hardware.

Even so, the market is placing weight on the possibility that the expansion in AI infrastructure investment will continue for the time being. Nvidia’s results are emerging as a key variable that could influence investment sentiment across the broader AI cryptocurrency market, beyond being a simple event for a semiconductor company.