The cryptocurrency market is undergoing a paradigm shift, driven by the emergence of agentic AI. This cutting-edge field within artificial intelligence encompasses systems that exhibit autonomous behavior, transcending traditional AI models primarily focused on data analysis and prediction. Agentic AI systems are designed to make decisions, take action, and adapt and learn, exerting a profound influence across various sectors, including the cryptocurrency market. From Venture Capital to Community: A New Era of Fundraising Prior to the rise of agentic AI, crypto fundraising was largely dominated by traditional venture capital models. Over time, projects started delaying TGE and staying private for longer, going past Series A in their fundraising process. This led to projects launching later in their life cycle, and at higher valuations, significantly limiting upside available after the public listing. However, the emergence of agentic AI projects has ushered in a brand-new era , and this is how. Many of them are now bypassing traditional venture capital routes in favor of launching through platforms like Pump.fun, where token starts trading at a zero valuation, and empowering retail investors and fostering a more democratic investment landscape. This shift is exemplified by the Solan AI hackathon , where a significant number of projects launched their tokens directly on Pump.fun, contrasting sharply with the traditional approaches observed in other hackathons, such as Ethereum Global hackathons . Reshaping the Crypto Investment Landscape The rise of AI agents and AI infrastructure, accompanied by more fair and transparent token-distribution models, is reshaping the crypto investment landscape. Venture capital funds often don’t have an opportunity to invest in the private rounds of the projects in this sector, only left with a choice of buying on the public market, if their mandate allows — or passing entirely. Retail investors, on the other hand, got the opportunity to get involved much earlier in the projects’ lifecycle, with greater risk but also potential returns. This evolving landscape is being navigated by figures such as Jan Petreckij , a Research Analyst at Thanefield Capital . Petreckij, a distinguished leader in the crypto and AI space, brings a unique perspective honed through his success at multiple Ethereum Global hackathons, active participation in venture capital, and experience judging startup competitions. His research and insights are pivotal in shaping this emerging space of crypto and artificial intelligence. Jan’s work not only contributes to the development of new financial technology products and services but also enhances market efficiency and democratization of opportunities. By advocating for greater inclusivity in crypto investment, he empowers a broader range of investors and fosters the development of innovative crypto projects across the Globe, including emerging and already advanced markets like Europe and United States. Furthermore, his focus on helping innovative founders within the AI and crypto space enables him to identify and evaluate projects with the potential for long-term, sustainable impact within the crypto ecosystem. To gain further insights, we will now delve into a series of key questions with Jan Petreckij, focusing on the intersection of agentic AI and the evolving crypto landscape, including fundraising models, regulatory challenges, and the future of the market. 1. Your background is a unique blend of technical expertise, as shown by you winning prizes in multiple ETHGlobal hackathons, and a deep understanding of the venture capital landscape. How has this unique blend of experiences shaped your perspective on the crypto market and the role of agentic AI within it? Having seen the development of the market over the years and participating both as a builder and investor, I think that the convergence of crypto and AI, particularly in the AI agentic space, is the next big theme for 2025 and beyond. Nvidia’s CEO Jensen Huang recently said that AI agents are a multi-trillion-dollar opportunity, and crypto is enabling agents to perform financial transactions, and will definitely be part of it. 2. As a judge at startup competitions such as ETH Napul, what key insights did you gain about the challenges and opportunities facing emerging projects in the crypto space, particularly those leveraging agentic AI? Many projects are trying to jump on a hype train without thinking out a long-term plan. This is a result of incentives that are often setting up the way for founders to just copy what already worked for other projects instead of coming up with innovative solutions and products. I think many teams can improve on that front. 3. As an active participant in early-stage ventures in the crypto space in a professional capacity, you've observed a shift in crypto fundraising models, with a move towards community-driven platforms like Pump.fun. What are the key factors driving this shift, and what are its potential implications for the long-term development of the crypto ecosystem? This shift is driven mostly by the fact that the old model was broken - projects would launch at a very high valuation and have very low float (normally, just around 10-15%) that was airdropped to users. In this scenario, it’s hard for the token price to go up, and after losing their investments several times, users stop participating. This naturally made participants seek a more fair game, which emerged on platforms like Pump.fun. 4. What, in your opinion, will happen to the traditional venture model? Will it still exist - or be replaced with new fair models like the ones you’ve described? Traditional ventures will still exist and remain the main source of funding, especially for large infrastructure projects. The change in the leadership in the US and potential regulation will make the market structure better for retail investors, converging with what we have in TradFi with clear rules around things like insider information, disclosures, and so on. 5. Beyond your work at Thanefield Capital, how do you personally contribute to the development and growth of the crypto and AI ecosystem? I participate in some projects in a personal capacity, help teams with token economics and go-to-market strategy. The space is very active and there are plenty of opportunities to contribute to those who are willing. 6. What are the most significant challenges you foresee in the responsible development and deployment of agentic AI within the cryptocurrency market? How can these challenges be mitigated? Nearly all projects in intersection of AI and crypto are working on a higher level than foundational models like the ones developed by OpenAI, Anthropic, Meta, and others. In this case, alignment is ensured by the these companies and startups for the most part don’t have to worry about it. 7. Given your experience in the venture capital market, how do you evaluate the investment potential of agentic AI projects? What key factors do you consider when assessing the viability and potential impact of these projects? We’re now only in the first inning of what I believe to be a large trend, and at the moment the most interesting opportunities are concentrated on the infrastructure level. This infrastructure will be used as a backbone for many user-facing applications. Some factors include the team and its background, initial distribution of ownership, capital structure (whether the company also have investors and equity cap table), as well as actual technology and adoption. 8. How do you see the role of regulation evolving in the agentic AI space, and what are the potential implications for innovation and growth within the crypto market? Regulation is important for crypto as a whole, and with the new administration and even POTUS issuing his own memecoin, the prospects for the industry are promising. Europe’s regulation MICA is now in place, and US Congress will hopefully pass its own Market Structure Bill this year. These are positive developments the industry has been waiting for a long time, which will make rules transparent and protect investors while encouraging innovation. 9. How do you envision the future of the crypto market evolving in the next 5-10 years, and what role do you see yourself playing in shaping this future? Crypto has proved useful in a number of use cases, from decentralized finance, facilitation of global trade, digital ownership certificates through NFTs, and culture through memecoins. I expect these to develop further and more use cases to emerge in the coming years. That being said, I am most excited about financial applications as the use case for crypto and blockchains. I hope to play a role as investor and advisor to many great companies working in the space. 10. What are the most exciting developments at the intersection of AI and crypto space that you are currently following, and how do you believe these developments will impact the future of the cryptocurrency market? Arguably, the main advantages crypto brings to AI developers are capital formation and ability of agents to conduct financial transactions. Capital formation becomes much faster and more decentralized as developers can sell equity-like tokens instead of going through a traditional fundraising route, which takes more time and is far more complicated. On the second point, for agents to participate in economic activity, they need an ability to transact just like humans, and there’s no better way for them to do so than using cryptocurrencies such as stablecoins. In conclusion, our conversation with Jan Petreckij, a recognized expert in the crypto industry, underscores the transformative potential of agentic AI within the cryptocurrency market. Mr. Petreckij forecasts that the shift toward community-driven fundraising models—supported by evolving regulations—will broaden early-stage access and foster a more inclusive investment landscape. While challenges remain, including short-termism among some projects, Petreckij’s insights point to a future where enhanced AI infrastructure and fair token distribution fundamentally reshape the industry.
