Nansen CEO Alex Svanevik predicts that AI trading agents will overtake human traders within two years [1].

This shift signals a fundamental change in how blockchain assets are managed, moving the industry away from manual analysis toward fully automated, agentic execution. As AI capabilities accelerate, the role of the human trader may transition from active execution to high-level oversight.

Svanevik said that AI trading agents will surpass human traders in both numbers and volume [2]. This projection comes as Nansen undergoes a strategic shift in its business model. The company is pivoting from its traditional roots in blockchain analytics to a focus on agentic trading [3].

This pivot reflects a broader trend in the cryptocurrency and financial sectors where data is no longer just used for observation. Instead, the data is being integrated directly into autonomous agents capable of making real-time decisions. By moving toward agentic trading, Nansen aims to provide tools that do not just show users what is happening in the market, but act upon that information independently.

Blockchain analytics has long served as the foundation for identifying "smart money" movements. However, the speed of modern markets often outpaces human ability to react. The integration of AI agents allows for the immediate application of analytics to trade execution, a process that removes human latency from the equation.

Svanevik said the transition is a necessary evolution for the platform as it seeks to lead the next wave of automated finance [3].

“AI trading agents will surpass human traders in both numbers and volume.”

The transition from analytics to agentic trading suggests a future where market liquidity and volatility are driven primarily by algorithmic agents rather than human sentiment. If AI agents dominate trading volume, the traditional methods of technical and fundamental analysis may become obsolete, replaced by a competitive landscape of optimizing AI models that can execute trades in milliseconds.