In the past two days, several seemingly unrelated messages have appeared in the market: high-level meetings between China and the U.S., continued contact between the U.S. and Iran, new AI model launches, and U.S. stock assets beginning to move onto the blockchain.
Looking at each item individually, none are particularly new.
However, combined, they are pointing towards the same change: the variables influencing the Crypto market are expanding from purely liquidity and market trends to geopolitical factors, the AI industry, and the blockchainization of traditional assets.
On September 23, Chinese President Xi Jinping arrived in Washington for a state visit to the U.S. and is set to meet with U.S. President Trump. Previously, China and the U.S. had engaged on topics such as trade, artificial intelligence, and rare earths, and the market is watching whether this meeting will provide further signals in the trade and technology sectors.
At the same time, contact between the U.S. and Iran is ongoing.
Previously, U.S. officials engaged with Iranian representatives through intermediary channels, but there are still divergences on key issues. On September 24, Iran's statement regarding the Strait of Hormuz pushed geopolitical risk premiums higher, causing Brent crude oil to spike by nearly 4%, returning to around $103.
This indicates that oil prices remain an important variable connecting geopolitical factors with global markets.
If the situation in the Middle East eases, energy prices may face downward pressure; if negotiations become stalled again, oil supply risk might re-enter market pricing.
Another line comes from AI.
On September 22, Anthropic launched Claude Opus 5.5. The new model focuses on long-cycle programming agents, scientific research, and professional knowledge tasks, while significantly reducing API overall costs. At the same time, OpenAI also introduced a new model, indicating that competition among AI companies is evolving from merely pursuing model capability to also competing on pricing and commercialization efficiency.
This is equally important for Crypto.
In the past, discussions about AI and Crypto focused more on AI agents, computing power, and AI tokens.
However, now, the foundational AI models are rapidly iterating, and what deserves real attention is the cost to which AI capabilities can descend and which blockchain applications these capabilities will ultimately enter.
Meanwhile, traditional financial assets continue to move onto the blockchain.
On September 22, NEAR announced a collaboration with Ondo Finance to tokenize U.S. stocks and ETFs on near.com. Eligible users can use assets like USDC and BTC to purchase tokenized stocks of Nvidia, Tesla, Apple, and ETFs like QQQ within the same account, without the need for a traditional brokerage account. Ondo’s current tokenized asset platform has a total value locked (TVL) exceeding $1 billion, with cumulative trading volume exceeding $26 billion.
Previously, Ondo also joined DTCC's Fund/SERV platform, becoming the first tokenized platform to enter the traditional fund trading and distribution network. This platform currently covers more than 85% of mutual fund trading activities in the U.S.
From the China-U.S. meeting to U.S.-Iran contact, from AI model price reductions to U.S. stock assets entering the blockchain, the market is undergoing multiple changes simultaneously.
Geopolitics determines the fluctuations in energy and risk preference, AI determines the direction of the new round of technological capital, and tokenization attempts to directly bring traditional financial assets into the Crypto trading system.
These lines have not yet converged into a complete story.
But they have already begun to collectively alter the external environment of the Crypto market.
What is truly worth observing next is whether geopolitical risks will cool down, whether AI competition will continue to lower prices, and how far the boundaries of Crypto will expand with the entry of more traditional assets onto the blockchain.
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