This is a high-density clash of ideas connecting tradition and the future, capital and technology.
On May 10, 2025, the CryptoAI Summit 2025, hosted by Bitpush and co-organized by TCFA, successfully concluded in New York.
The summit focused on the "integration of AI and cryptocurrency technology," inviting nearly 30 experts from top institutions such as Coinbase, Citigroup, Cantor Fitzgerald, MSCI, Columbia, and the Solana Foundation to discuss cutting-edge topics including digital assets, artificial intelligence, regulatory trends, Web3 infrastructure, and the investment and financing ecosystem.
This was a high-density clash of ideas connecting tradition and the future, capital and technology, with a full day of valuable content and a vibrant atmosphere.
Opening Remarks
The summit was opened with a joint speech by Bitpush Managing Editor May Liu and TCFA Chairman Joy Zhang, emphasizing the necessity and urgency of "cross-border dialogue," encouraging the financial and innovation sectors to "break boundaries and move towards integration."
Keynote Speech: Global Trading in the Era of Digital Assets
Coinbase Institutional Strategy Head John D’Agostino delivered the Keynote speech, with Joy Zhang as the host.
John delved into how institutional funds are adapting to the structural changes of the crypto era, analyzing from multiple dimensions such as macro policies, institutional fund flows, and market structure evolution. He provided an in-depth interpretation of the entry logic and risk preferences of traditional institutions under the trend of AI and crypto integration, sharing the shift in strategy from Wall Street to crypto institutions, and pointed out that clearer regulations are a prerequisite for large-scale institutional entry.
John noted that in the coming years, stablecoins, on-chain settlement, and AI-driven trading systems will become major focuses of the capital markets.
Panel 1: Regulation and Deregulation - Crypto Challenges in the Trump Era
Moderated by Wilfred Daye (CEO of Sylvanus), the panel included PennyWorks co-founder Ivan Zhang, BitMart Legal Director Jue Wang, Clouder Power CEO Hao Wu, and Dragon AI co-founder Winston Ma.
The discussion covered stablecoin legislation, state-level Bitcoin reserve policies in the U.S., trends in sovereign fund investments, and the prospects for DeFi legalization. The guests pointed out that "the U.S. has an onion structure of crypto regulation—multi-layered and intertwined, but with a clear direction: institutionalization."
Fireside Chat: Reconstructing the World View of AI + Crypto
Conducted remotely by Citigroup Managing Director and TCFA President-Elect Maggie Wang and Cantor Fitzgerald Global Electronic Trading Director Kathryn Zhao.
Kathryn analyzed the bidirectional relationship of "how AI can enhance the crypto user experience and how crypto can feed back into the trust mechanism of AI models" from the perspectives of trading practices, cross-asset arbitrage, and AI-Agent applications. Her concept of "AI agents + blockchain verification" sparked widespread interest.
Panel 2: Crossing AI Boundaries - Innovation Trends and Real Challenges
Moderated by Maggie Wang, the panel included Columbia Professor Zhou (Jo) Yu, former Senior Analyst and AI Director at Ally Dr. Tao Cheng, DistributedApps.ai CEO Ken Huang, and NBW CTO Dr. Jay Zou.
The guests looked ahead to the democratization path of AI from perspectives such as "large model construction," "decentralized computing networks," and "privacy data training mechanisms." Jo Yu emphasized that "next-generation AI tools should be shaped by developers and the community, rather than being monopolized."
Panel 3: Ethereum VS Solana - The Performance Battle of Web3
Moderated by Coinbase AI Product Head Lincoln Murr, with technical exchanges involving BitFi Founder Han Liu, Solayer Founding Engineer Chaz, and Solana Foundation Growth Head Jiani Chen.
From TPS to developer ecosystems, the Solana side emphasized "performance and cost," while the Ethereum camp highlighted "stability and security." The guests believed that whoever can integrate the strongest liquidity will win the long-term favor of developers. The sharp viewpoints made this the most technically charged dialogue of the event.
Panel 4: Finding the Next 100x Coin - The Art of Speculation
Moderated by MetaEra CEO Jessica Y, with guests including Third Eye Co-CIO Tian Zeng, AscendEX Chairman George Cao, and OORT CTO Sichao Yang.
The participants candidly stated that "speculation is not the original sin; cognitive and information gaps are the core alpha." In an era driven by narratives, institutions prefer to position high-volatility assets through structured products, while retail investors need to focus on position management; how to "invest early," "invest correctly," and "hold on" became a common topic for both retail and institutional investors.
Panel 5: Venture Capital in the Age of AI and Crypto
Moderated by renowned entrepreneur and investor Bianca Chen, with insights from SNZ Capital Partner Keith Chen, Palm Drive Capital Founding Partner Seamon Chan, and Satoshi Lab Founder Elaine Yang.
The guests unanimously pointed out that today's VCs need to understand AI model structures, on-chain incentive mechanisms, and human nature simultaneously. The integration of AI and crypto is reshaping the rhythm of investment and financing and the logic of project evaluation. Additionally, sovereign funds from the Middle East and Asia are returning to the Web3 investment chain, particularly focusing on AI infrastructure and Layer 1 protocols.
Panel 6: AI Agents + Meme Coins - The New Generation of Market Makers?
Moderated by Abel AI Founder and CEO Stephen Wang, with guests including NYU Professor Xi Chen, SOON Network CEO Joanna Zeng, Protego Trust CIO Weiyee In, UCSD Professor, and Abel.ai CTO Biwei Huang.
The intersection of meme culture and AI trading agents became the new narrative focus. The discussion covered "Can AI become an assistant for on-chain users?" "Can memes evolve into cultural assets?" and "Do smart agents change market microstructure?" Beyond the main topics, the guests also engaged in in-depth discussions on AI model security, data misuse, and AI trust verification mechanisms. The consensus was that transparency, verifiability of behavior, regulation, and data traceability are key to the future integration of AI and finance.
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