Artificial Intelligence and Web3, are powerful technologies which when combined can create smarter and more decentralized systems, Mario Casiraghi, the co-founder of Singularity DAO, has asserted. Although both technologies have developed separately, Casiraghi argues that their combined strengths can help address limitations like centralized control and data inefficiencies.
Clearer Regulations Could Boost AI and Web3 Adoption
In written answers to questions from Bitcoin.com News, Casiraghi, an executive with Artificial Superintelligence Alliance (ASI), added the convergence of AI and Web3 has the potential to drive innovation and create more efficient, accessible systems.
Turning to the impact of regulation (or the lack thereof) on the progress of both technologies, Casiraghi said while this can be seen as a hurdle it ensures responsible growth and user protection. The co-founder added that when regulations are clearer they can accelerate the adoption of these technologies.
Meanwhile, when asked to predict where he sees AI and Web3 in the next few years, Casiraghi said he foresees the combination of AI’s intelligence with Web3’s transparency and security helping to transform sectors such as finance, logistics, and healthcare. He also sees the two technologies leading to a more inclusive, fair, and open ecosystem.
Below are the Singularity DAO co-founder’s answers to all the questions sent.
Bitcoin.com News (BCN): Artificial Intelligence (AI) and Web3 have existed in isolation for a long time, with their convergence getting noticeable attention only in the last few years. Do you believe that growing in isolation has hurt the expansion of AI as well as Web3? And how would the convergence of AI and Web3 help shape their future? What specific limitations of AI and Web3 do you think could be addressed by combining them?
Mario Casiraghi (MC): AI and Web3 evolved separately, building strong foundations in their respective fields. This independent development allowed each to mature and specialize. Now, with these foundations established, their convergence can shape the future by creating systems that are both intelligent and decentralized. Web3’s infrastructure ensures secure, transparent data sharing, while AI adds smart automation and decision-making. Together, they can address limitations like centralized control and data inefficiencies, ultimately driving innovation and creating smarter, more efficient and accessible decentralized systems.
BCN: Over the years, many tech trends have suffered significant setbacks not because of their inability to solve promised problems but because of non-conducive operational environments. Several innovations that plunged right in, hoping that things would change for the better have either gone extinct or are struggling with regulatory issues. What role do you think regulatory concerns have played in stunting the growth of AI and Web3 in particular?
MC: While regulatory challenges have created hurdles for AI and Web3, they have also encouraged both industries to focus on building safer, more compliant technologies. Regulations around data privacy and financial transparency ensure that as AI and Web3 grow, they do so responsibly and with user protection in mind. Clearer, more harmonized global regulations will further accelerate the adoption and integration of these technologies.
BCN: While people are quick to criticize the regulators, some of their actions may ultimately benefit the industry. As an experienced industry player, do you know of any specific regulatory steps that deserve commendation? In what areas do you expect the regulatory agencies to perform better or do things differently?
MC: Recent regulatory steps have provided much-needed clarity for cryptocurrency and blockchain projects, promoting transparency and responsible practices. KYC (Know Your Customer) and AML (Anti-Money Laundering) regulations have been instrumental in fostering trust and security, helping the industry mature by building trust and enhancing credibility.
In the AI space, frameworks that encourage ethical development and prioritize data privacy are a strong foundation for future advancements. As the industry evolves, greater global coordination and clearer standards—especially in decentralized finance (DeFi) and cross-border AI applications—will further support sustainable growth.
BCN: As one of the architects of the ASI merger that combines Singularitynet, Ocean Protocol, and Fetch.ai., can you briefly explain to our readers what this merger is about and what you expect to achieve?
MC: The Artificial Superintelligence (ASI) Alliance is a collaboration of leading decentralized AI projects—SingularityNET, Fetch.ai, Ocean Protocol, and now CUDOS. This token merger will create a globally decentralized infrastructure for AI development, targeting breakthroughs in Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI).
BCN: What are the direct benefits of the ASI merger to the emerging tech ecosystem that would overshadow any inherent negativities that may arise?
MC: The ASI token merger unites decentralized AI projects under the FET token, increasing utility and simplifying interactions across SingularityNET, Fetch.ai, Ocean Protocol, and CUDOS. This merger enhances scalability by combining resources, making high-performance AI hardware more accessible at a lower cost. While there are challenges in merging technologies, the benefits—like improved collaboration, reduced costs, and a unified ecosystem—clearly outweigh any negatives.
BCN: Could you highlight some of the use cases where AI-Web3 convergence will boost their near and long-term prospects?
MC: The convergence of AI and Web3 holds great potential, and we are beginning to see its impact in several key areas that will drive near and long-term growth. In decentralized finance (DeFi), AI can automate trading strategies and optimize risk management, making markets smarter and more efficient. Similarly, in supply chains, combining AI’s predictive analytics with Web3’s decentralized infrastructure could streamline logistics, improve transparency, and lower costs.
In addition to this, the future of this convergence relies on building systems that are simple, smart, and secure. By focusing on these principles, we can ensure broad adoption and long-term innovations across multiple sectors.
BCN: Do you see merging AI and Web3 becoming a new order in the emerging tech industry, as many analysts have predicted? Where do you see AI and Web3 in 2030?
MC: Yes, I believe the merging of AI and Web3 is becoming a major force in the tech industry, and by 2030, we’ll likely see AI fully integrated with decentralized systems, automating processes like trading, governance, and resource management across various industries. The combination of AI’s intelligence with Web3’s transparency and security will transform sectors such as finance, logistics, and healthcare. Importantly, this convergence will create smarter, more efficient systems that are decentralized, secure, and accessible to everyone—ensuring a more inclusive, fair, and open ecosystem. This will establish a new standard for global scalability and innovation.
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