Artificial intelligence and blockchain have become the two most discussed technologies in recent years. In a new episode of HODLFM, Tanya spoke with Vlad Nazar, Head of Business Development at ChainGPT, to understand how AI is shaping the crypto industry and what future trends may emerge. The conversation opened up about AI’s practical roles, its long-term integration into Web3, and the realities of trading in a volatile market.
ChainGPT’s position in Web3 AI
Vlad Nazar described ChainGPT as a project that started in 2022 as a Web3 AI infrastructure company and has grown into one of the most established names in the field. It builds tools for developers and businesses working in decentralized ecosystems.
The company develops an AI chatbot trained on crypto and blockchain data, yield farming assistants, and blockchain-specific analytics. These tools aim to enhance efficiency and decision-making for both institutional and individual users. ChainGPT also runs “ChainGPT Pad,” a crypto launchpad supporting AI-driven startups.
The platform’s applications range from smart contract auditing and NFT generation to research tools for professional traders. According to Nazar, the main mission remains to create reliable AI models that support Web3 adoption and innovation.
AI’s role in the current market
Tanya raised the question of whether AI has become another short-term narrative in the bull market, similar to NFTs or DeFi in previous cycles. Vlad responded that AI stands apart from other trends.
He said, “Let’s break down AI specifically.” Nazar views AI not as a passing narrative but as a long-term technology transforming every part of the digital economy.
“It is in every part of our lives: relationships, cooking, searching for information, self-education, building products, hiring people — everything,” he said.
While blockchain remains niche, AI’s influence extends to all industries. Nazar emphasized that many crypto projects attempt to connect AI to blockchain without understanding whether the technology fits the use case. True innovation, he said, comes from solving real problems where AI automation can make a measurable difference.
Traders and AI tools
When Tanya asked whether Vlad uses AI for trading, he answered honestly:
“I don’t trade actually. I’m a hodler.”
He said he joined crypto in 2017, experimented with investing and trading, but now focuses on long-term holding and building.
ChainGPT has introduced an AI Trading Assistant, which analyzes market trends and provides signals to users. Nazar clarified that it helps traders make informed decisions but does not replace human judgment.
On the topic of trading bots, he said that most of them are “marketing” rather than money-making tools. “If you press one button and hope to make money, no,” Nazar said. However, AI can support traders by processing data and identifying opportunities faster than humans.
Market realities and institutional dominance
Discussing the current market climate, Tanya mentioned the swing between $80,000 Bitcoin highs and subsequent pullbacks. Vlad explained that cycles are natural.
“I’ve been here since 2017 — I’ve seen everything: ups, downs, narratives. This is just part of the cycle,” he said.
Nazar considers the current phase a healthy pause rather than a full bear market. He noted that institutions dominate this cycle more than retail investors, which adds stability but also reduces dramatic surges driven by hype.
He also distinguished between automated trading systems and genuine AI-based decision-making. According to him, most market movements result from programmed automation rather than true artificial intelligence.
Is AI a bubble?
As debate grows over whether AI’s rise resembles the dot-com bubble, Nazar addressed the concern directly. “Some AI startups are definitely inflated, especially those without real products,” he said. However, he added that across Web2 and Web3, AI represents a technological shift rather than a passing bubble.
He believes consolidation will eventually separate overvalued projects from real innovators with sustainable business models and long-term use cases.
A long-term view on blockchain adoption
In closing, Vlad Nazar shared why he remains optimistic about crypto. He compared Bitcoin’s maturity to that of a teenager.
“Bitcoin is a teenager — just 16 years old compared to legacy finance,” he said.
He believes Web2 organizations will continue moving into Web3 and that the process will strengthen market fundamentals.
For him, AI will accelerate this migration by making blockchain tools more accessible and intelligent.
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Tanya Petrusenko
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