Author: Gracy Chen, CEO of Bitget
Cryptocurrency traders are drowning in information. Real-time prices flash in microseconds, wallet trackers alert to new whale movements, and sentiments on X change every minute. For the average retail investor, keeping up means decoding all of this through professional-grade dashboards—often after a full day of work. This is the real pressure point shaping the next evolution of cryptocurrency—not another institutional product like BlackRock's ETH staking application.
AI trading agents provide a practical solution to this challenge. They compress the torrent of market data into a single, actionable suggestion, requiring only simple input from the user. For example, someone sets a command: "If BTC drops 5% while I sleep, lock in profits." The AI agent pulls the trigger for them and re-hedges before the user's alarm goes off.
While recent moves by Wall Street heavyweights like BlackRock and Standard Chartered have brought welcome validation to the cryptocurrency spot market, their role is primarily infrastructural, helping funds move in and out. What will truly keep users engaged are AI agents, which make staying in the market easier, smarter, and more sustainable.
The landscape is rapidly becoming commoditized. JPMorgan's 2025 electronic trading survey of 4,200 buy-side and sell-side traders found that 61% believe AI will impact the market more than any other technology in the next three years—surpassing API integration and even blockchain itself.
The retail side tells the same story. One in seven cryptocurrency users is willing to hand over their entire portfolio to an algorithm. Participants want systems that can detect patterns before a human can blink.
It is important to distinguish between AI agents and trading bots. Trading bots still dominate the order book, executing grid or momentum scripts. They are automated but not intelligent.
AI agents operate differently. They rewrite the script in real-time, integrating sentiment scores, wallet forensics, and individual risk budgets.
Traders can shift from simple "buy/sell" orders to detailed inputs like "reduce my portfolio's risk exposure next month" or "identify early narrative rotations in meme coins." The agents then synthesize market data and recalibrate strategies in real-time.
Some critics argue that delegating execution to software robs users of agency and that if multiple agents chase the same signal simultaneously, it could amplify tail risk events.
Others warn that black-box decision-making will clash with upcoming algorithmic accountability regulations. Past cycles have shown that once safeguards like circuit breakers, termination switch permissions, and transparent audit logs are embedded, productivity gains will prevail.
Exchanges lacking agent orchestration within the next year risk seeing trading volume migrate to platforms where trading feels as effortless as Spotify recommendations. Venture capital and mergers and acquisitions may flood into agent infrastructure, compressing click trading fees and rewarding markets that expose agent-friendly APIs.
As AI agents begin trading across different platforms in an instant, more activity will shift to exchanges capable of keeping up with this speed. Market maker spreads will tighten, price discovery may accelerate, until human reaction times become irrelevant.
Institutional trading desks will not be exempt. Once agents can prove deterministic logging, CFOs will route traffic to any venue offering the lowest "latency to insight" pipeline. In equities, latency wars have reshaped exchange rankings; latency to intelligence will do the same in cryptocurrency.
Legislators are unlikely to ban agent trading, just as they did not ban algorithmic trading in stocks. Instead, they will require that every inference and action has a verifiable audit trail.
Platforms that integrate crypto logging into their agent frameworks will turn compliance from a headache into a moat.
The upcoming competition is not banks versus exchanges. From the user's perspective, it's "equip me" versus "overwhelm me." Platforms embedding personal trading agents will open up professional-grade strategies to the masses, even as others handle their fiat on-ramps.
The industry should stop releasing dashboards built for Bloomberg terminals and start launching co-pilots that listen, learn, and act in the interests of everyday users. Putting this stack together requires real-time data ingestion, fine-tuning language models, and governance layers that allow humans to set guardrails without hovering over every decision.
Regulatory access may open the door, but agent execution decides who walks in and who waits outside.
Author: Gracy Chen, CEO of Bitget
Related: What factors could hinder Strategy's entry into the S&P 500
This article is for general informational purposes only and is not intended to be, nor should it be construed as, legal or investment advice. The views, thoughts, and opinions expressed here are solely those of the author and do not necessarily reflect or represent the views and opinions of Cointelegraph.
Original: Opinion: Forget Wall Street, because the real disruption in cryptocurrency is AI agents
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