AI WILL REINVENT DAOS AND TOKENIZED MODELS WILL BE VALUABLE: VANCE SPENCER

Last updated: June 19, 2025, 18:24 | Written by: Brian Kelly

The intersection of artificial intelligence (AI) and blockchain technology is rapidly transforming the landscape of decentralized autonomous organizations (DAOs) and tokenized assets.Vance Spencer, co-founder of Framework Ventures, a prominent crypto-focused venture firm, believes that AI is the missing piece that will unlock the true potential of DAOs. Framework Ventures co-founder Vance Spencer sees AI as being the missing piece for DAOs and shared his outlook for the tokenization of AI models. Artificial intelligence could be the missing piece for decentralized autonomous organizations (DAOs), while trained AI models could become valuable assets on-chain, according to the co-founder of Framework Ventures. Speaking to Cointelegraph on SeptSpeaking at Korea Blockchain Week on September 5th, Spencer shared his vision of a future where trained AI models become valuable, on-chain assets, fundamentally reshaping how DAOs operate and create value. 🧩 Framework Ventures co-founder Vance Spencer shares his vision that AI could be the missing piece for decentralized autonomous organizations (DAOs). daoThis isn't just about hype; it's about building a more efficient, dynamic, and intelligent future for decentralized governance and digital ownership. AI will reinvent DAOs and tokenized models will be valuable: Vance Spencer Artificial intelligence could be the missing piece for decentralized autonomous organizations (DAOs), while trained AI models could become valuable assets on-chain, according to the co-founder of Framework Ventures.Imagine DAOs powered by AI that can make informed decisions, optimize resource allocation, and proactively identify opportunities.Envision AI models, trained and refined, becoming valuable commodities, traded and utilized across the blockchain ecosystem.This article delves into Spencer's predictions and explores the potential impact of AI on DAOs and tokenized models, offering insights into the evolving world of decentralized technology.

The Synergy Between AI and DAOs: A New Era of Decentralized Governance

DAOs, with their promise of decentralized governance and community-driven decision-making, have faced challenges in achieving their full potential.These challenges often include inefficiencies in decision-making, lack of adaptability, and difficulty in managing complex tasks.Vance Spencer argues that AI can address these limitations, bringing a new level of intelligence and automation to DAOs.The combination of AI and DAOs can lead to enhanced efficiency, better resource allocation, and more effective governance.

Overcoming DAO Limitations with AI

One of the primary challenges DAOs face is the sheer volume of data and information that needs to be processed for effective decision-making. Business, Economics, and Finance. GameStop Moderna Pfizer Johnson Johnson AstraZeneca Walgreens Best Buy Novavax SpaceX Tesla. CryptoAI can assist in analyzing this data, identifying patterns, and providing insights that would be impossible for humans to discern in a timely manner. Artificial intelligence could be the missing piece for decentralized autonomous organizations (DAOs), while trained AI models could become valuable assets AI to reinvent DAOs while tokenized models will become valuable: VC firm - Mount Rushmore CryptoThis can significantly improve the quality and speed of decisions within the DAO.

Data Analysis: AI can sift through vast amounts of on-chain and off-chain data to identify trends and opportunities.
Automated Decision-Making: AI can automate routine tasks and decisions, freeing up human members to focus on more strategic initiatives.
Improved Resource Allocation: AI can optimize resource allocation within the DAO, ensuring that funds are used effectively and efficiently.

For example, an AI-powered DAO could automatically adjust its investment strategies based on real-time market conditions, or it could identify and address security vulnerabilities before they are exploited.This level of responsiveness and proactivity is simply not possible with traditional DAO governance models.

Tokenization of AI Models: A New Asset Class

Spencer's vision extends beyond simply using AI to improve DAOs. AI News Artificial intelligence could be the missing piece for decentralized autonomous organizations (DAOs), while trained AI models could become valuable assets on-chain, according to the co-founder of Framework Ventures. Speaking to Cointelegraph on Sept. 5 at Korea Blockchain Week, Vance Spencer, the co-founder of the crypto-focused venture firm, shared four predictions about how AI [ ]He also foresees a future where trained AI models are tokenized, becoming valuable assets on the blockchain.This concept opens up a wide range of possibilities, from fractional ownership of AI models to the creation of new marketplaces for AI services.

The Value Proposition of Tokenized AI Models

Tokenizing AI models can bring several benefits, including increased liquidity, wider access, and greater transparency.By representing AI models as tokens on the blockchain, they can be easily traded, shared, and utilized across different applications.

Increased Liquidity: Tokenization allows for fractional ownership of AI models, making them more accessible to a wider range of investors.
Wider Access: Tokenized AI models can be easily integrated into different blockchain applications, expanding their reach and utility.
Greater Transparency: The blockchain provides a transparent and immutable record of the ownership and performance of AI models.

Imagine a scenario where a DAO develops a powerful AI model for predicting market trends.By tokenizing this model, the DAO could allow members to own a fraction of it, giving them a stake in its success.Other DAOs or individuals could then pay to access the model's predictions, creating a revenue stream for the DAO and its members.This creates a powerful incentive for the development and improvement of AI models within the decentralized ecosystem.

Vance Spencer's Four Predictions for the AI-Blockchain Convergence

During his presentation at Korea Blockchain Week, Vance Spencer outlined four specific predictions about how AI and blockchain technology will converge:

AI-Powered DAO Governance: DAOs will increasingly leverage AI to automate decision-making, optimize resource allocation, and improve overall efficiency.
Tokenized AI Models: Trained AI models will become valuable assets on the blockchain, creating new opportunities for ownership, access, and monetization.
AI-Driven Security: AI will play a crucial role in securing blockchain networks and smart contracts, identifying and mitigating potential threats.
Personalized User Experiences: AI will be used to personalize user experiences within the blockchain ecosystem, making it more accessible and user-friendly.

These predictions highlight the transformative potential of AI in the blockchain space, extending beyond simply improving DAOs to encompass security, user experience, and the creation of new asset classes.

Digging Deeper into the Predictions

AI-Powered DAO Governance: The Future of Decentralized Decision-Making

This first prediction speaks to the core inefficiency of current DAOs. Artificial intelligence could be the missing piece for decentralized autonomous organizations (DAOs), while trained AI models could become valuable assets on-chain, according to the co-founder of Framework Ventures. Speaking to Cointelegraph on Sept. 5 at Korea Blockchain Week, Vance Spencer, the co-founder of the crypto-focused venture firm, shared four predictions about how AI and blockchainImagine an AI that can analyze proposals, assess community sentiment, and even simulate the potential outcomes of different voting scenarios. Trained AI models could become prized. Spencer also sees a future in which trained AI models are tokenized on the blockchain. He said an early example can be seen in the Ethereum native decentralized app and game AI Arena where players train an AI model to fight for them in a platform fighting game akin to Nintendo s Super Smash Bros.This would empower DAO members to make more informed decisions, leading to better governance and outcomes.

Tokenized AI Models: Democratizing Access to Advanced Technology

The tokenization of AI models breaks down the barriers to entry for individuals and organizations that may not have the resources to develop their own AI solutions.By fractionalizing ownership, it allows for broader participation and fosters innovation within the AI space.This also promotes the ethical development and use of AI, as multiple stakeholders have a vested interest in its success.

AI-Driven Security: Fortifying the Blockchain Ecosystem

Security is a paramount concern in the blockchain world. African Mini-Factories (~2025) Autonomous Research Centers (~2025) VideoAI can be deployed to analyze smart contracts for vulnerabilities, monitor network activity for suspicious patterns, and even predict potential attacks before they occur. This week's guest: On this week s Just DAO It!, we welcome on guest, Navin. Navin is the Co-Founder of Samudai, a DAO project management platform that enables collaboration and bounty management for a Listen to Just DAO It! DAO News Report Interview with Navin from Samudai by Just DAO It: A Podcast for People Starting DAOs instantly on your tablet, phone or browser - no downloadsThis proactive approach to security can significantly reduce the risk of hacks and exploits, fostering greater trust and adoption of blockchain technology.

Personalized User Experiences: Making Blockchain Accessible to All

One of the biggest hurdles to mainstream adoption of blockchain is its complexity. Artificial intelligence could be the missing piece for decentralized autonomous organizations (DAOs), while trained AI models could become valuable assets on-chain, according to the co-founder of Framework Ventures. Последние записи: It steals sensitive information, like login. Prisma Finance, a DeFi protocol that releases.AI can be used to personalize user interfaces, provide tailored educational resources, and even automate complex tasks. Probably some of the most valuable assets on-chain will be tokenized AI models Vance Spencer I would even remove the word probably 🤖🔗 AI Blockchain is a perfect match! 🔑 HereThis can make blockchain technology more accessible and user-friendly, attracting a wider audience and driving adoption.

Examples of AI and Blockchain Convergence in Action

While the widespread adoption of AI in DAOs and the tokenization of AI models is still in its early stages, there are already several examples of projects exploring this intersection.

AI Arena: As mentioned by Vance Spencer, AI Arena is an Ethereum-native decentralized app and game where players train AI models to compete in a platform fighting game. Vance Spencer, co-founder of Framework Ventures shared four ways he thinks artificial intelligence will impact blockchain and crypto. Vance Spencer, co-founder ofThis showcases how AI models can be tokenized and used to create engaging and rewarding experiences.
SingularityNET: SingularityNET is a decentralized marketplace for AI services, allowing developers to create, share, and monetize their AI models. Framework Ventures co-founder Vance Spencer sees AI as being the missing piece for DAOs and shared his outlook for the tokenization of AI models. Artificial intelligence could be the missing piece for decentralized autonomous organizations (DAOs), while trained AI models could become valuable assets on-chain, according to the co-founder ofThis platform provides a foundation for the tokenization and exchange of AI models on the blockchain.
Ocean Protocol: Ocean Protocol is a decentralized data exchange platform that allows individuals and organizations to share and monetize their data while preserving privacy.This platform can be used to train AI models on decentralized data, further enhancing their value and utility.

These examples demonstrate the growing interest and activity in the AI and blockchain space, paving the way for a future where AI is seamlessly integrated into DAOs and tokenized models are commonplace.

Addressing Common Questions About AI and DAOs

Will AI replace human decision-making in DAOs?

While AI can automate routine tasks and provide valuable insights, it is unlikely to completely replace human decision-making in DAOs.AI should be viewed as a tool to augment human intelligence, not replace it. FDA Approves OTC Hearing Aid Software Device for SeptemThe ultimate decisions should still be made by the community, guided by AI-powered insights.

What are the risks associated with using AI in DAOs?

There are several risks to consider when using AI in DAOs, including bias in AI models, security vulnerabilities, and the potential for misuse. Framework Ventures co-founder Vance Spencer sees AI as being the missing piece for DAOs and shared his outlook for the tokenization of AI models. Interview Artificial intelligence could be the missing piece for decentralized autonomous organizations (DAOs), while trained AI models could become valuable assets on-chain, according to the co-founder of Framework Ventures. Speaking to [ ]It is important to carefully design and implement AI systems in a way that mitigates these risks and ensures that they are used ethically and responsibly.

How can I get involved in the AI and DAO space?

There are many ways to get involved in the AI and DAO space, including joining a DAO that is focused on AI, contributing to open-source AI projects, and developing your own AI-powered applications for DAOs.The key is to be proactive, curious, and willing to learn.

The Future of AI and DAOs: A Paradigm Shift

The convergence of AI and DAOs represents a paradigm shift in how organizations are governed and how value is created and distributed.By leveraging the power of AI, DAOs can become more efficient, adaptable, and intelligent.The tokenization of AI models creates new opportunities for ownership, access, and monetization, further driving innovation and growth in the decentralized ecosystem. Artificial intelligence could be the missing piece for decentralized autonomous organizations (DAOs), while trained AI models could become valuable assets on-chain, according to the co-founderWhile there are challenges to overcome, the potential benefits of this convergence are immense, promising a future where AI and DAOs work together to build a more equitable and efficient world.

Key Takeaways and Call to Action

The insights from Vance Spencer highlight a compelling vision for the future of DAOs and tokenized models. Framework Ventures co-founder Vance Spencer sees AI as being the missing piece for DAOs and shared his outlook for the AI to reinvent DAOs while tokenized models will become valuable: VC firm - XBT.MarketHere are some key takeaways:

AI can address critical limitations in current DAO structures, leading to more efficient and effective governance.
Tokenizing AI models unlocks new possibilities for ownership, access, and monetization, creating a new asset class.
AI-driven security can enhance the security and resilience of blockchain networks and smart contracts.
Personalized user experiences can make blockchain technology more accessible and user-friendly.

If you're interested in exploring the intersection of AI and DAOs, consider the following:

Research DAOs that are actively incorporating AI into their governance processes.
Explore platforms that are facilitating the tokenization of AI models.
Learn about the security risks associated with AI and blockchain and how to mitigate them.
Experiment with AI tools and technologies to develop your own solutions for DAOs.

The future of decentralized technology is being shaped by the convergence of AI and blockchain. Artificial intelligence could be the missing piece for decentralized autonomous organizations (DAOs), while trained AI models could become valuable assets on-chain, according to the co-founder of Framework Ventures.By understanding the potential of this synergy, you can position yourself to be a part of this exciting and transformative movement.