The blockchain industry has always prided itself on transparency. Every transaction on a public blockchain is permanently recorded, visible to anyone with an internet connection.
Still, with billions of transactions and hundreds of millions of wallet addresses, the sheer scale of that transparency can be paralyzing. Without the right tools, it’s less a crystal-clear ledger and more a haystack hiding countless needles. That is where blockchain analytics comes in.
The latest episode of The Clear Crypto Podcast discusses how blockchain’s radical openness has created both opportunities and challenges, and now, artificial intelligence (AI) may be the missing piece in making sense of it all.
The role of analytics today
Blockchain data has helped track illicit activity, such as recently, when South Korean authorities dismantled an international hacking syndicate. It has also provided critical context during major industry collapses, such as the downfall of FTX.
As guest Alex Svanevik, co-founder and CEO of analytics platform Nansen, recalled:
“So many people were using our product to see what was happening with the funds sitting in the FTX wallets, and 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 traders and institutions, analytics tools serve another purpose.
By labeling wallet addresses and mapping flows of funds, these platforms allow users to see where capital is moving, what major players are doing and whether suspicious activity might be influencing token prices.
However, the real challenge is usability. “I think we’re going to go through a massive transformation in what products look like,” he said.
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“People will have been used to using dashboards, having to spend lots of time onboarding, going through training. I think the near future of software products is one where you just talk to products.”
AI changes the equation
Even with sophisticated dashboards, parsing blockchain data has remained a steep learning curve. That is why the integration of artificial intelligence represents such a significant leap.
Svanevik highlighted Nansen’s recently launched AI-powered product that lets users query blockchain activity in plain language.
“The future … is that you’ll just be speaking with AI agents who can do the research for you, and instead of spending a whole day piecing everything together, in 20 seconds you have an assessment.”
This is more than some trendy or cosmetic shift. By lowering the barrier to entry, AI-driven analytics democratize blockchain intelligence.
Retail investors, compliance officers and even casual observers can access insights that were once the domain of specialized analysts.
Blockchain has long promised to make finance more transparent, but that promise is only as strong as the ability to interpret the information it generates. As Svanevik put it:
“We’re basically betting the whole company on the idea that people are going to want to talk to [the data].”
To hear the complete conversation on The Clear Crypto Podcast, listen to the full episode on Coinpectra’s Podcasts page, Apple Podcasts or Spotify. And don’t forget to check out Coinpectra’s full lineup of other shows!
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