How has AI changed the cryptocurrency market?
AI entered the crypto market from three sides at once. And in each — changed the rules of the game.
1. AML
Previously, systems reacted to triggers: amount, country, sanctions list. Now — behavioral analytics. Chainalysis, Elliptic and TRM Labs build a transaction graph in real time and find connections through dozens of intermediate wallets, mixers and bridges. FinCEN and FATF are switching to ML monitoring themselves — it's impossible to manually check thousands of addresses per day. DeFi obfuscation schemes are becoming less effective.
2. Trading
According to TradingView Hub, 65-80% of cryptocurrency trading volume goes through algorithms. AI has added three layers to this. NLP models parse X, Reddit, and Telegram faster than any analyst, and the price often moves before the news rather than after. On short timeframes, ML finds patterns that are invisible to the eye, and the arbitrage window has shrunk to milliseconds. Portfolio agents automatically hedge positions through derivatives without the need for human intervention.
3. The Market
AI has become one of the main narratives for 2024-2025. At the peak of the cycle, TAO, FET, RNDR, and WLD outperformed the market significantly. A new asset class has emerged — decentralized AI networks: RNDR sells GPU rendering power, TAO sells ML model outputs, and Durov's Cocoon sells confidential AI computing on GRAM. The participant provides hardware, the network pays with tokens. AI agents are already making on-chain transactions without human involvement.
Summary → AI makes the market more transparent for regulators, more difficult for retailers, and becomes a source of new value itself.

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