Artificial intelligence is becoming deeply embedded in crypto trading workflows, but it is unlikely to replace human judgment, according to the leadership of onchain analytics firm Nansen. Speaking around the launch of new AI powered trading tools, CEO Alex Svanevik said AI should be viewed as an augmentation layer rather than a decision maker. Nansen’s latest release expands its platform from pure analytics into execution, allowing users to interpret live onchain signals and place trades directly using AI assisted insights. The system is trained on hundreds of millions of labeled wallet addresses, enabling large scale pattern detection that would be impossible manually. Still, Svanevik emphasized that conviction, accountability, and decision ownership remain human responsibilities, especially in volatile markets where outcomes carry real financial and reputational consequences.
According to Svanevik, AI’s main advantage lies in scale and speed rather than judgment. Models can track cross chain flows, identify behavioral patterns, and surface probabilities across vast datasets, but they do not decide what matters most to an individual trader or institution. He warned that systemic risk can emerge when too many participants rely on identical signals or automated strategies, whether generated by humans or machines. To counter this, Nansen is focusing on tools that support diverse strategies rather than a single automated playbook. Svanevik argued that credible analysis in an AI driven market will increasingly depend on measurable performance over time rather than reputation or social influence. Platforms that can repeatedly demonstrate signal quality and reduce noise will earn trust, while users remain responsible for interpreting outputs and executing trades.
The discussion also highlighted the limits of automation in crypto markets shaped by uncertainty and rapid change. While AI systems are improving at contextual reasoning and integrating live data, Svanevik said they cannot assume responsibility for risk or align decisions with personal or institutional values. Onchain analysis ultimately feeds into actions such as deploying capital or backing projects, where accountability cannot be delegated to software. AI can inform scenarios and probabilities, but it cannot define risk tolerance or absorb losses. As AI adoption accelerates, Svanevik expects human conviction to become more important, not less, serving as the final filter between data driven insight and real world action. In this model, AI becomes infrastructure for better decisions, while humans remain accountable for outcomes.
