Artificial intelligence (AI) has transformed many industries, and wherever AI emerges, a common question arises: Will AI replace humans? In the crypto landscape, the impact of AI is already evident, from AI-powered automated trading bots to agentic trading systems.
However, Alex Svanevik, CEO and co-founder of Nansen, argues that AI is not a replacement for human judgment but rather plays a supporting and supplementary Vai . In an exclusive interview with BeInCrypto, Svanevik Chia more in-depth insights into this shift and offered his vision for the future of AI-based analytics.
Debate on AI in the crypto sector: Nansen CEO proposes enhancement, not replacement.
On January 21, 2024, Nansen announced the launch of its AI-integrated on-chain trading functionality. This marks a major turning point as the platform , Capital focused solely on data analysis, expands into a product that combines both analysis and direct action execution.
Based on a proprietary dataset of over 500 million labeled wallets, this new update helps users manage portfolios, analyze on-chain signals in real time, and receive data-driven recommendations. Notably, users can also execute trades directly within Nansen.
“After being trained and tested on Nansen’s proprietary dataset, Nansen AI consistently outperforms other leading AI products in on-chain analysis and trading criteria. This ensures that the information and data provided by the AI are accurate and can be immediately applied to real-world trading for investors, turning automated artificial intelligence into a real advantage,” the announcement stated.
In addition, this launch also paves the way for what Nansen calls "vibe trading." This is a more intuitive approach, helping users transition from analysis to on-chain trading without constantly switching tools.
As AI takes on more and more analytical tasks , the role of human analysts is gradually being questioned. According to Svanevik, AI is very powerful in processing large-scale data, helping to analyze hundreds of millions of wallets, track cross- chain money flows, and identify patterns that humans would find difficult to detect.
However, he emphasized that the final decision-making ultimately rests with the users – those who ask the right questions, validate the actions, and lead the entire process.
“The line between AI and humans isn’t fixed. It will change as AI becomes smarter and on-chain data becomes more complex. But the goal isn’t to replace human judgment, but to free humans from energy-intensive tasks so they can focus on making more important decisions,” Svanevik said.
What makes analytics reliable in an AI-driven crypto market?
Some studies suggest that over-reliance on AI tools can impair critical thinking skills. This is especially important in the cryptocurrency market, where investors face high volatility and risk.
However, Svanevik has a different perspective. He argues that "good AI" will provide more signals, prompting users to think more carefully and cautiously in their decisions, rather than the other way around.
“The real risk lies in everyone acting according to the same pattern. This isn’t just true for AI; it applies to human analysts as well. The solution is diversification: diversification of models, strategies, and data interpretations. Therefore, we develop tools to empower individuals, not a ‘god’ that everyone depends on,” he added.
This leader also emphasized that neither AI nor analysts should be blindly trusted. The most important thing is that these analyses and assessments must consistently be correct over time.
When it comes to reputation in the AI-driven market, the CEO stated,
"Credibility in the AI era comes from continuous measurement and testing – not from fame or the number of Watcher on Twitter. The advantage of AI is that it can be tested on a large scale continuously, directly compared with real-world conditions – something humans cannot do."
He Chia that the simplest way to verify is through practice: Users should ask themselves questions they care about, then evaluate whether the answers are practical, useful, and immediately implementable – because users are usually very sensitive to recognizing quality.
“In the long run, trust will no longer be placed in individual analysts but rather in platforms that can demonstrate they provide quality information and reduce ‘noise.’ That’s also the standard we set for ourselves,” Svanevik told BeInCrypto.
Why can AI analyze on-chain data, but cannot replace human trust?
Human analysts typically make decisions based on on-chain indicators, price data, and various other signals, relying on their judgment and ability to analyze the context. In contrast, AI primarily relies on patterns and patterns learned from historical data.
When asked whether AI could develop human-like judgment, Svanevik said it was entirely possible, although it would differ from human judgment.
According to him, AI will develop the ability to reason in specific contexts. AI might even be able to integrate data directly from a multitude of variables – things that humans cannot track simultaneously.
“The path to that is better training data, longer contextual windows, and feedback loops from real-world experience. Currently, we’ve seen this through our AI agent products – they not only recognize patterns but can also analyze behavior in real time. That’s the initial stage of judgment capability, and it will become more refined as the model develops further, along with the knowledge accumulated from millions of on-chain interactions,” Svanevik Chia .
But he also identified one thing that, in his opinion, AI cannot completely replace in on-chain analytics: taking responsibility for decisions under uncertain and risky circumstances.
Svanevik argues that while AI can help detect patterns, estimate probabilities, identify potential scenarios, and analyze what has happened or might happen based on data, AI cannot independently determine an individual's risk tolerance, make judgments about value, or be held accountable for any consequences of such decisions.
“ on-chain analysis ultimately leads to concrete actions: using Capital, investing in the team, making public predictions. Someone has to be accountable for those decisions – and that can only be a human being,” the leader concluded.
He emphasized that no matter how advanced AI models become, reliability, accountability, and decisiveness in important matters must still rely on humans. AI can provide information to support decision-making, but ultimately, humans are the ones who make the decisions and are responsible for the results.
“Decide what matters. AI can tell you what’s happening on the blockchain, but AI can’t figure out what you should care about. It’s taste. It’s decisiveness. It’s human,” Svanevik Chia .
Svanevik argues that AI is a powerful support tool, not a decision-maker for humans. While AI can identify patterns, probabilities, and provide useful information on unprecedented scales, human judgment remains Vai to risk assessment, responsibility , and decision-making.
As AI-based analytics becomes more prevalent, trust will increasingly be placed in platforms that can consistently demonstrate the quality of their information. However, humans will ultimately decide what truly matters and be accountable for the final outcome.
