Whalesbook
Two years after OpenAI’s launch in 2023, artificial intelligence has moved beyond hype and begun embedding itself deeply into the crypto economy. AI is no longer confined to niche experimental tools—it is now being integrated into trading strategies, wallets, DeFi platforms, investment analytics, and exchange infrastructure.
This raises a defining question for the industry: will artificial intelligence become the true engine of the crypto market? To answer it, we must first understand what AI already represents today—and what it is rapidly evolving into.
AI as a personal DeFi advisor
The earliest and most visible role of artificial intelligence in crypto has been as an intermediary between users and complex blockchain systems. AI increasingly acts as an assistant—helping users interpret data, manage risk, and make informed decisions.
By 2025, wallets enhanced with AI-driven capabilities are beginning to emerge. These wallets do more than display balances; they actively support decision-making across two core areas:
- Enhanced security. AI systems can monitor transactions in real time, analysing behavioural patterns to detect anomalies, flag suspicious activity, and temporarily halt transactions pending user verification. They also help defend against phishing attacks by scanning links, websites, and communications for fraudulent indicators.
- Portfolio management. By analysing transaction history, market trends, and individual risk profiles, AI can generate personalised recommendations, diversification strategies, and automated reports—simplifying budgeting, performance tracking, and even tax preparation.
AI can also audit smart contracts before execution, simulating outcomes and highlighting hidden risks such as unexpected fund transfers or secondary contract calls. This transforms wallets from passive execution tools into systems of trust—explaining not just what will happen, but why.
In the long term, AI-powered wallets may become an intelligent interface layer between users and blockchains, lowering entry barriers and reducing the fear of irreversible errors.
Many modern wallets—including crypto card-enabled platforms such as Trustee Plus—are already building toward this model. While not fully AI-driven yet, they aggregate market data, analytics, ratings, and charts, forming the foundation into which autonomous AI agents can be integrated.
AI as a new class of market participants
Trading bots have existed in crypto markets for years, but artificial intelligence has fundamentally changed their capabilities. AI-driven bots now learn continuously, adapting strategies in real time based on market conditions, liquidity flows, and behavioural signals.
Unlike rule-based scripts, modern AI trading agents:
- Open and close positions using machine learning models rather than static instructions.
- Analyse vast datasets—from historical price movements to social media sentiment.
- Dynamically adjust risk exposure as probabilities shift, reacting faster than human traders.
Different platforms cater to different strategies. Tools such as Pionex and Bitsgap are widely used for dollar-cost averaging (DCA), while solutions like Stoic by Cindicator focus on portfolio optimisation. Major exchanges, including Binance and Bybit, also offer integrated bot solutions.
Meanwhile, broader AI systems—including advisory tools such as ChatGPT or Grok—are increasingly influencing trader decision-making and market sentiment.
AI is steadily becoming an independent market participant. Surveys suggest that nearly half of users believe AI trades more effectively than humans, and a growing segment is willing to entrust their entire crypto portfolio to automated AI systems.
AI as a market analyst and trust filter
As early as 2023, Coinbase experimented with using AI models to assess token risks and potential ahead of listings. While early results were mixed, rapid advances in artificial intelligence have since transformed analytical reliability.
By 2025, major exchanges, analytics firms, and regulatory bodies began deploying AI systems to monitor token ecosystems, assess project legitimacy, and identify emerging risks. AI can detect early-stage opportunities by tracking smart-money inflows, liquidity surges on decentralised exchanges, and rapid growth in unique wallet holders.
Platforms such as Nansen already enable both institutional and retail participants to surface these insights, positioning AI as a market-wide intelligence layer.
In this role, artificial intelligence becomes more than an investor tool—it acts as a trust filter for the entire crypto ecosystem, improving transparency and reducing information asymmetry.
The autonomous crypto economy ahead
Industry forecasts suggest the global market for AI agents could expand from $5.1 billion in 2024 to over $47 billion by 2030. Adoption is accelerating, with enterprise usage expected to rise sharply over the next few years.
The crypto sector is moving in parallel. The industry is transitioning toward self-governing ecosystems where artificial intelligence is embedded at the core—managing liquidity, security, compliance, and strategic execution. What began as the automation of transactions is now becoming the automation of decision-making.
Artificial intelligence is not creating capital or inventing new markets. Instead, it accelerates, optimises, and scales what already exists. It does not replace the market—it becomes its infrastructure.
In the coming years, competitiveness will be defined not just by access to users or capital, but by how deeply intelligence is integrated into crypto ecosystems.
About the author:
Maryna Nesterenko is an experienced customer support leader with over seven years of expertise in fintech and crypto card services. As Head of Customer Support at Trustee Plus, she has led operations across multiple regions, supporting more than 900,000 users and overseeing millions of transactions.