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Home»Blockchain»AI agents that trade crypto autonomously are the next big shift in blockchain
Blockchain

AI agents that trade crypto autonomously are the next big shift in blockchain

NBTCBy NBTC23/04/2026No Comments4 Mins Read
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The next major development in cryptocurrency is centered on autonomous financial agents rather than merely new currencies or trading platforms.

These are computer programs that can manage finances and complete transactions without human guidance.

This week’s Hong Kong Web3 Festival’s central thesis was that a significant shift in the industry is imminent.

Authorities and leaders discussed a future where AI bots manage and complete cryptocurrency transactions independently.

These agents are able to assess a situation, make a decision, and act without any assistance.

In the realm of cryptocurrency, people live on blockchains and engage in day-and-night trading, token purchases, and money loans.

The industry figures at the festival believe that these programs could soon be running large portions of the digital economy under no single person’s control, only the rules written into the code.

Banks are not ready for what is coming

The numbers behind AI spending paint a picture of just how fast this is moving.

Global investment in artificial intelligence is expected to hit $2.52 trillion in 2026, and in the first quarter of this year alone, AI drew in 80% of all venture capital funding worldwide.

On Binance Ai Pro, a trading platform, nearly half of all activity now happens without any input from users, the system makes the calls itself.

OKX Global’s chief commercial officer, Lennix Lai, told the conference that the way people interact with blockchain “will probably change indefinitely.” Fan Wenzhong, a leader in the finance world, agreed that an economy run by automated agents is coming.

However, he said that the true power of AI is still held back by a “glass cover.” He explained that this is because today’s banks were not made for this kind of technology.

Traditional money systems depend on physical accounts, people checking things by hand, and middlemen.

These systems were designed for big transactions that happen every once in a while and need humans to watch over them.

They are not built to handle the very fast, small, and automatic tasks that AI agents perform.

Blockchain, supporters argue, solves that problem. Its code runs automatically and cannot be changed once set, removing the need for any go-between.

McKinsey, the consulting firm, has estimated that by 2030, AI agents could move between $3 trillion and $5 trillion in consumer commerce around the world each year.

To put that in context, the entire crypto market today is valued at around $2 trillion.

From person-to-person deals to machine-to-machine transactions

A report released at the festival by Dr. Xiao Feng, chairman and CEO of HashKey Group, laid out how this shift might work.

The report argued that AI agents are already moving into production, trade, and collaboration, and that economic activity is gradually moving away from person-to-person interaction toward deals struck between humans and machines, or between machines alone.

The report also introduced what it calls a Dual-Token Architecture: AI Tokens, which measure computing power used, and Blockchain Tokens, which track the flow of value.

Blockchain also solves a trust problem.

Every agent action is permanently recorded on the blockchain, creating a clear trail. As the market for agentic AI is projected to grow from $5.25 billion in 2024 to nearly $200 billion by 2034, tracking these programs becomes critical.

JPMorgan Chase chief Jamie Dimon has recently acknowledged that blockchain is no longer experimental, pointing to tokenization and smart contracts as signs that finance is moving on-chain.

Some projects are already live.

Fetch.ai and SingularityNET let agents trade services with each other. Autonolas helps agents run strategies in decentralized finance.

Obstacles like speed, safety, and regulation remain. Layer-2 networks such as Optimism and Arbitrum are working on faster processing, and zero-knowledge proofs are being used to improve privacy.

By the end of the decade, analysts believe AI agents could be as routine as smartphone apps, handling tasks that people currently do themselves and opening the door to a far larger crypto economy.

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