Kevin talks about artificial intelligence: AI is reshaping on-chain transactions.

Recently, the buzz generated by the Alpha Arena trading competition initiated by Nof1.AI seems to have become the AI Aha! moment in the investment field:

In this 17-day competition, traders frequently buying and selling various assets have been replaced by “AI”: Alibaba's Qwen 3 Max stood out with a 23% return rate to win the championship; Huansquare Quantitative DeepSeek V 3.1 took second place with a return rate of 4.9%. Meanwhile, well-known large models such as Claude Sonnet 4.5, Google Gemini 2.5 Pro, X Grok 4, and OpenAI GPT-5 experienced significant losses.

Despite the fact that some AI large models did not perform well in the short term during this round of on-chain trading competition, the UXUY team realizes that AI is redefining the way we trade and reshaping on-chain trading.

Alpha Arena Competition: Trend Chart of Total Value of Each AI Large Model Trading Account

Discussions about AI being able to make money are endless, which inevitably causes people to reconsider: will human traders be replaced by AI? What exactly does AIGM “AI Generate Money” mean? Today, we are welcoming the AIGM era together with AI Traders.

“AIGM” is about using AI to create Money.

AIGM is short for AI Generate Money, a concept first proposed by the UXUY Global AI R&D Center at Hong Kong Fintech Week. AIGM, as the name suggests, allows for direct trading and profit generation through AI Agents, meaning AI is no longer just a trading tool for humans and does not need to rely on humans to issue trading instructions. The team at UXUY has given this product a nice Chinese name: “7 x 24 Automated Money Making.”

In the era of AIGM, AI is the true trading entity.

“Teaching AI to trade” has always been a goal that people pursue tirelessly, as it truly embodies the ultimate human dream of “earning money while lying down”: top investment institutions such as Medallion Fund, Two Sigma, and Huansuan Quantitative are all engaged in this endeavor. In fact, this field is becoming one of the most favored tracks for investors, with scientists who have backgrounds in computer science and mathematics flocking in to continuously optimize their trading models in the vast amounts of trading data.

BNB Chain Transaction Volume Trend Chart

The increasing on-chain transaction data is facilitating the development of AI trading. Unlike traditional securities trading rules, on-chain trading has no opening and closing restrictions, allowing for 24-hour trading, and the trading data is publicly transparent on the blockchain. This provides an excellent scenario for UXUY to conduct AI trading based on the chain.

As cryptocurrency trading evolves from centralized exchanges (CEX) to decentralized exchanges (DEX), this trend is accelerating. Taking BNB Chain as an example, about 14 million on-chain transactions occur daily, and such a massive scale of transactions is providing AI with more training opportunities, making AI increasingly smarter.

The world's first 100% stablecoin-based native AI trading platform

While continuously promoting AI trading, UXUY has taken a step further: it has achieved 100% stablecoin-based on-chain trading. Users can not only implement one-click follow Smart Money and AI trading models, but all of this happens on the basis of stablecoins (USDT, USDC, USD 1…), significantly lowering the trading threshold.

Looking for “earlier Alpha opportunities”

The role of AI is not only reflected in trading but also in discovering profit opportunities earlier.

Every day, thousands of on-chain assets are created and traded. On October 8, the BNB Chain's meme fair launch platform Four.meme set a new record by issuing 47,875 tokens in a single day. With the ongoing prosperity of the on-chain ecosystem, this amount will continue to increase.

How can we effectively retrieve “promising on-chain assets” from such a massive amount of on-chain data and execute buy and sell operations? It may already be information overload for humans, but for AI, this is the best “nourishment.”

“Machine learning” is the key to the rapid development of AI: without human indicators or instructions, AI will explore the scale in complex data and conduct simulated trading on its own, repeatedly training to improve the success rate of the model. The focus of trading has long shifted from “manual monitoring” to “how to train your own AI Agent.”

The future world will be a “hunting ground” where humans and AI compete for money, and the era of AIGM has already begun. This is an opportunity for UXUY and also an adjustment for UXUY, as we are reshaping on-chain transactions by leveraging the opportunities presented by AIGM.