
Blockchain Analytics Are Becoming AI‑Powered: What It Means
Author: Savannah Fortis
Source: Cointelegraph
Date: September 26, 2025
Podcast: The Clear Crypto Podcast
Blockchain’s core promise is transparency: every transaction is recorded on public ledgers and can be accessed by anyone. But with billions of transactions and hundreds of millions of wallet addresses, this radical transparency can feel like information overload. Without the right tools, it’s like finding needles in a haystack. That’s where blockchain analytics platforms come in.
Current Role of Blockchain Analytics
Blockchain analytics tools help detect illegal activity and monitor crypto markets.
For instance, South Korean authorities recently used blockchain data to dismantle a major hacking syndicate.
During the FTX collapse, blockchain analytics gave users a real-time view of funds leaving FTX wallets, even as founder Sam Bankman-Fried claimed withdrawals were frozen.
Alex Svanevik, co-founder and CEO of Nansen, highlighted the importance of such tools:
“So many people were using our product to see what was happening with the funds sitting in the FTX wallets… you could actually see in real time that despite SBF saying that they had blocked withdrawals, you could see money flowing out of the exchange.”
For institutional investors and traders, these tools also label wallet addresses, monitor fund flows, and identify activity by whales (large holders) or suspicious actors that could affect prices.
But there’s a usability challenge:
“People are used to dashboards, long onboarding, and training. We’re going to see a massive transformation in how products work,” Svanevik said.
AI Is Transforming Blockchain Analytics
AI is revolutionizing how users interact with blockchain data. Traditional dashboards are being replaced by AI‑powered systems that let users ask questions in natural language—like using a chatbot instead of sifting through spreadsheets.
Nansen recently launched an AI product that allows users to interact with blockchain data conversationally.
“The future is talking to AI agents who do the research for you. Instead of spending a whole day, you get your answer in 20 seconds,” said Svanevik.
This shift significantly lowers the barrier to entry:
Retail investors, compliance teams, and casual users can now access insights previously reserved for trained analysts.
The technology democratizes access to financial intelligence.
Svanevik emphasized:
“We’re basically betting the whole company on the idea that people are going to want to talk to the data.”
This transformation makes blockchain’s promise of financial transparency more accessible, functional, and actionable than ever before.