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        "rendered": "Forget Wall Street, because crypto\u2019s true disruption is agentive"
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        "rendered": "<div data-v-43e640e6>\n<p><em><strong>Opinion by: Gracy Chen, CEO, Bitget<\/strong><\/em><\/p>\n<p>Crypto traders are drowning in information. Live prices flicker by the microsecond, wallet trackers ping fresh whale moves, and sentiment on X pivots by the minute. For the average retail investor, keeping up means decoding all this through pro-level dashboards \u2014 often after clocking out from a full-time job. That\u2019s the real pressure point shaping crypto\u2019s next evolution \u2014 not another institutional product like BlackRock&#8217;s <a data-ct-non-breakable=\"null\" href=\"https:\/\/cointelegraph.com\/news\/nasdaq-files-application-staked-ishares-eth-etf\" title=\"null\">ETH staking app<\/a>.<\/p>\n<p>AI trading agents offer a practical solution to that challenge. They compress the flood of market data into a single, actionable recommendation that only needs a simple input from the user. Say someone sets the instruction: \u201cLock in gains if BTC drops 5% while I\u2019m asleep.\u201d The AI agent pulls the trigger for them and re-hedges before the user\u2019s alarm goes off.<\/p>\n<p>While the recent initiatives from Wall Street heavyweights such as BlackRock and <a data-ct-non-breakable=\"null\" href=\"https:\/\/cointelegraph.com\/news\/standard-chartered-bitcoin-ether-trading-institutions\" title=\"null\">Standard Chartered<\/a> bring a welcome validation for crypto spot markets, their role is largely infrastructural, helping money move in and out. What will truly keep users engaged are AI agents that make staying in the market easier, smarter and more sustainable.\u00a0<\/p>\n<h2>Institutions chase access, traders crave intelligence<\/h2>\n<p>Rails are quickly becoming a commodity. JPMorgan\u2019s 2025 e-Trading Edit surveyed 4,200 buy- and sell-side traders: 61% <a data-ct-non-breakable=\"null\" href=\"https:\/\/www.jpmorgan.com\/markets\/etrading-trends\" rel=\"noopener nofollow\" target=\"_blank\" title=\"null\">said<\/a> AI will influence markets more than any other technology over the next three years \u2014 more than API integration, more than blockchain itself.<\/p>\n<p>The retail side tells the same story. One in seven crypto users is happy to hand their entire portfolio to an algorithm. Participants want systems that spot patterns before humans blink.\u00a0<\/p>\n<h2>Attention as a scarce asset<\/h2>\n<p>Drawing a clear line between <a data-ct-non-breakable=\"null\" href=\"https:\/\/cointelegraph.com\/explained\/what-are-ai-agents-and-how-do-they-work-in-crypto\" title=\"null\">AI agents<\/a> and trading bots matters here. Trading bots still dominate order books, grinding out grid or momentum scripts. They are automated, but they are not intelligent.<\/p>\n<p>AI agents operate differently. They rewrite their playbooks in real time, blending sentiment scores, wallet forensics and personal risk budgets.\u00a0<\/p>\n<p>A trader can move from simple \u201cbuy\/sell\u201d orders to detailed inputs like \u201creduce my portfolio\u2019s risk exposure over the next month\u201d or \u201cidentify early-stage narrative rotations in memecoins.\u201d The agent then synthesizes market data to recalibrate strategy on the fly.<\/p>\n<h2>The uneasy trade-off between autonomy and accountability<\/h2>\n<p>Some critics <a data-ct-non-breakable=\"null\" href=\"https:\/\/www.risk.net\/risk-management\/7961878\/academic-warns-of-systemic-risk-from-ai-powered-trading\" rel=\"noopener nofollow\" target=\"_blank\" title=\"null\">argue<\/a> that delegating execution to software strips users of agency and could magnify tail-risk events if multiple agents chase the same signal simultaneously.<\/p>\n<p>Others <a data-ct-non-breakable=\"null\" href=\"https:\/\/www.finance-watch.org\/policy-portal\/digital-finance\/report-artificial-intelligence-in-finance\/\" rel=\"noopener nofollow\" target=\"_blank\" title=\"null\">warn<\/a> that blackbox decision making will collide with forthcoming rules on algorithmic accountability. Past cycles show that productivity gains win once safeguards like circuit breakers, kill-switch permissions and transparent audit logs are embedded.<\/p>\n<div>\n<p>Exchanges that lack agent orchestration within the next year risk watching volumes migrate to platforms where trading feels as effortless as Spotify recommendations. Venture capital and M&#038;A will likely flood agent infrastructure, compressing click-to-trade fees and rewarding marketplaces that expose agent-friendly APIs instead.<\/p>\n<p><em><strong>Related: <\/strong><\/em><a href=\"https:\/\/cointelegraph.com\/news\/wall-street-3-0\" rel target=\"_self\" title=\"https:\/\/cointelegraph.com\/news\/wall-street-3-0\"><em><strong>Money never sleeps, and Wall Street is waking up<\/strong><\/em><\/a><\/p>\n<\/div>\n<p>As AI agents start trading across different platforms in a split second, more activity will shift to exchanges that can keep up with that speed. Market-maker spreads will tighten, and price discovery could accelerate until human reaction time becomes irrelevant.<\/p>\n<p>Institutional desks will not be exempt. After agents can prove deterministic logs, treasurers will route flow to whichever venue offers the lowest \u201clatency-to-insight\u201d pipeline. In equities, latency wars reshaped exchange league tables; latency-to-intelligence will do the same in crypto.<\/p>\n<p>Lawmakers are unlikely to ban agent trading any more than they banned algorithmic equities. Instead, they will demand verifiable audit trails for every inference and action.\u00a0<\/p>\n<p>Platforms that bake cryptographic logging into their agent frameworks will convert compliance from a headache into a moat.<\/p>\n<h2>Exchanges have two choices<\/h2>\n<p>The impending contest is not bank versus exchange. From the user\u2019s perspective, it\u2019s \u201cequip me\u201d versus \u201coverwhelm me.\u201d Platforms that embed personal trading agents will open professional-grade strategies for the masses, even if someone else handles their fiat on-ramp.\u00a0<\/p>\n<p>The industry should stop shipping dashboards built for Bloomberg terminals and start launching co-pilots that listen, learn, and act for the benefit of everyday users. Putting that stack together takes real-time data ingestion, fine-tuned language models, and governance layers that let humans set guardrails without hovering over every decision.<\/p>\n<p>Regulated access may open the door, but agentive execution decides who walks through and is left waiting outside.<\/p>\n<p><em><strong>Opinion by: Gracy Chen, CEO, Bitget.<\/strong><\/em><\/p>\n<p type>This article is for general information purposes and is not intended to be and should not be taken as legal or investment advice. The views, thoughts, and opinions expressed here are the author\u2019s alone and do not necessarily reflect or represent the views and opinions of Cointelegraph.<\/p>\n<p><template data-name=\"subscription_form\" data-type=\"markets_outlook\" data-ct-non-breakable=\"undefined\" label=\"Subscription Form: Markets Outlook\"><\/template><\/div>",
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        "rendered": "<p>Opinion by: Gracy Chen, CEO, Bitget Crypto traders are drowning in information. Live prices flicker by the microsecond, wallet trackers [&hellip;]<\/p>",
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