Blockchain analytics firm Nansen has projected that by 2028, autonomous AI agents could become the default way many people participate in crypto investing. Instead of manually selecting tokens, monitoring charts, and executing trades by hand, investors may increasingly rely on software agents that can operate continuously on their behalf.
The thesis, shared by Nansen on X, frames the coming shift as a structural transformation similar to what happened in software engineering over the past decade. Development teams once handled coding and deployment in a largely manual way. Today, much of that work is handled through automated testing, continuous integration, and deployment pipelines. Nansen argues that portfolio management may be approaching a comparable turning point, driven by rapid progress in large language models and on-chain automation tooling.
From Manual Investing to Agent-Driven Execution
In Nansen’s view, the next generation of crypto market participants will look very different from the trading bots already familiar to exchanges. Traditional bots usually follow narrow, rule-based instructions, such as buying or selling when price thresholds are met. The AI-agent model described by Nansen is broader and more ambitious. These agents could monitor market conditions around the clock, manage risk settings, execute trades, rebalance portfolios, and interact with decentralized finance protocols without constant human input.
That distinction matters. Rather than functioning as simple execution scripts, AI agents would be expected to reason across multiple streams of information and carry out more complex, multi-step strategies at once. A single agent could potentially operate across centralized exchanges, DeFi protocols, and on-chain positions while adjusting its behavior within a decision framework set by the user or institution it represents.
Nansen predicts that by 2028, billions of active AI agents could be operating in the market. Each may stand in for an individual investor, an institution, or even a protocol. Over time, those agents could be tuned and refined as market conditions evolve, making them a persistent layer of automated decision-making in the crypto economy.
Implications for DeFi and Market Infrastructure
If Nansen’s timeline proves accurate, the implications for crypto market structure could be significant. Agent-driven investing at scale would not simply add more automation to existing workflows; it could alter how liquidity moves through decentralized finance and reshape the microstructure of trading across both centralized and decentralized venues.
In practical terms, a market populated by autonomous agents may create demand for infrastructure that can support constant, high-frequency, machine-native interaction. Exchanges and DeFi protocols could come under pressure to build systems capable of handling more sophisticated automated activity, especially if these agents begin managing portfolios, routing capital, and executing strategy across several venues simultaneously.
Nansen’s argument also suggests a broader change in how participation is defined in crypto. Today, users often interact directly with wallets, dashboards, token screens, and protocol interfaces. In an agent-led environment, the human role may move up a layer—from hands-on execution to setting objectives, constraints, and preferences. The software agent would then translate those goals into live portfolio actions.
Why This Goes Beyond Existing Trading Bots
Automated market actors are nothing new in crypto. Exchanges have hosted algorithmic traders and bots for years, and DeFi has long featured automated strategies in liquidity provision, arbitrage, and market making. But Nansen presents the coming AI-agent paradigm as qualitatively different from those earlier systems.
The difference lies in flexibility and intent. Rule-based bots are typically designed for narrow tasks, often under fixed instructions. By contrast, autonomous AI agents are framed as goal-oriented systems capable of processing varied inputs and responding dynamically across changing market conditions. That means they could potentially combine analysis, execution, risk management, and protocol interaction within one persistent operational layer.
Such a development would have consequences beyond trading alone. If large numbers of investors rely on agents, then wallet tools, portfolio dashboards, exchanges, and DeFi apps may need to redesign user experiences around machine delegation rather than direct manual control. The dominant crypto user of the future may not be a trader watching candlesticks, but an investor supervising a set of digital agents.
A Forecast With Industry Weight
Nansen is not the only firm or observer to suggest that AI agents could take on a major role in investing. Still, the prediction carries weight because of Nansen’s position as one of the most widely cited analytics platforms in crypto. Its public endorsement of a 2028 timeline gives the idea added visibility and credibility within the industry, even if the precise date remains open to debate.
Whether adoption unfolds exactly on that schedule or more gradually, the broader direction outlined by Nansen is becoming harder to ignore. Advances in AI models, automation frameworks, and on-chain tooling are converging at a time when crypto markets are already highly programmable. That combination makes the rise of autonomous agents feel less like a speculative edge case and more like a plausible next phase of market evolution.
For now, the forecast remains just that—a forecast. But if Nansen is right, the defining interface for crypto investing by the end of the decade may no longer be a mobile trading app or a token watchlist. It may be an autonomous software agent acting continuously in the background, making decisions, moving capital, and interacting with financial protocols on behalf of its user.