AI Agents Will Autonomously Trade Crypto, Industry Says

Speakers at the Hong Kong Web3 Festival this week described a near-term future in which software agents autonomously trade cryptocurrencies and carry out blockchain transactions without human intervention.

Delegates explained that these programs can assess situations, make decisions and execute payments or trades according to code. The technology would allow transactions to run automatically around the clock.

Panelists cited rapid growth in AI investment as a signal of the trend. Global AI spending is forecast to reach $2.52 trillion by 2026, and AI accounted for 80% of venture capital funding in the first quarter of the year. Presenters noted that on the Binance Ai Pro platform nearly half of activity now occurs without direct user input.

OKX Global’s chief commercial officer, Lennix Lai, told the conference the way people interact with blockchains “will probably change indefinitely.”

Finance leader Fan Wenzhong described a “glass cover” that limits AI’s impact today. He explained that many banks rely on physical accounts, manual checks and intermediaries, systems not designed for thousands of fast, small automated transactions.

A report presented by Dr. Xiao Feng, chairman and CEO of HashKey Group, proposed a Dual-Token Architecture to support machine-driven commerce. The model separates AI Tokens, which measure computing resources used by agents, from Blockchain Tokens, which record transfers of value. The report projected the market for agentic AI rising from $5.25 billion in 2024 to nearly $200 billion by 2034.

Consultants cited McKinsey estimates that AI agents could move between $3 trillion and $5 trillion in consumer commerce annually by 2030. For comparison, the total cryptocurrency market is currently valued at roughly $2 trillion. Speakers added that blockchain’s automatic execution and permanent records create an auditable trail for agent actions.

Several projects are already testing agent-to-agent interactions. Fetch.ai and SingularityNET allow agents to trade services with each other, and Autonolas helps agents run strategies in decentralized finance. JPMorgan Chase chief Jamie Dimon said blockchain is “no longer experimental,” pointing to tokenization and smart contracts as examples of on-chain activity in finance.

Panelists identified speed, safety and regulation as key obstacles to scale. Layer-2 networks such as Optimism and Arbitrum are working to increase transaction throughput, and cryptographic tools like zero-knowledge proofs are being used to protect privacy. Speakers said regulators and banks will need to adapt rules and infrastructure to manage autonomous programs on distributed ledgers.

Speakers forecast that by the end of the decade AI agents could become as common as smartphone apps, handling routine tasks people perform today and enabling a larger automated crypto economy. They also noted technical, legal and institutional barriers that must be addressed before autonomous crypto trading becomes widespread.