Web3 Executives Predict 2025 Will Be The Year Of AI Agents

The Future of Web3: How Artificial Intelligence Agents Will Transform the Decentralized Economy

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Agentic AIs: The New Players in the Web3 Ecosystem

Artificial intelligence agents will revolutionize the Web3 landscape in 2025, with cryptocurrency staking and onchain trading emerging as early use cases. Industry executives have shared their insights with Cointelegraph, highlighting both the potential benefits and challenges of agentic AIs.

The Rise of Agentic AIs

Agentic AIs are machines that pursue complex goals autonomously, already reshaping the digital economy by building Web3 applications, launching tokens, and interacting with humans independently. In 2025, these agents will take on a more prominent role within decentralized communities, according to J.D. Seraphine, a Web3 AI developer at Raiinmaker.

The Growing Number of AI Agents

As of December, there are approximately 10,000 AI agents hosted on Web3, collectively earning millions of dollars each week from onchain activities (VanEck). The asset manager expects this number to reach up to 1 million by the end of 2025. "The potential universe of AI agents interacting with crypto is infinite," notes Matt Hougan, asset manager Bitwise’s head of research.

Early Use Cases: Cryptocurrency Staking and Onchain Trading

Cryptocurrency staking on behalf of human token holders is a viable early use case for agentic AIs, according to Hougan. This involves securing a blockchain network by locking up tokens with validators in exchange for a cut of transaction fees. "We’ll see a lot of experiments, but only a few will stick," Hougan notes. "AI agents participating in staking, for example, seems like a logical first step."

ai16z and Virtuals: Pioneers in Agentic AI

Projects such as ai16z aim to use AI to direct onchain investments, while Virtuals is a platform for launching AI agents on Coinbase’s Base network. "Tokens tied to agentic AI bootstrapped upward of $10 billion in market capitalization in 2024, mostly in Q4," notes CoinGecko.

The Challenges Facing Agentic AIs

While agentic AIs hold tremendous potential, they also face significant challenges, including technical hurdles, regulatory pressures, and centralization. "Without decentralization, centralized, misaligned systems will drive us off a cliff, especially with AI," warns Michael Casey, co-founder of the Decentralized AI Society.

The Need for Decentralized Solutions

Creating viable decentralized AI agents requires finding decentralized solutions to ensure high-quality training data while safeguarding user privacy. "AI will face increasing pressure to be regulated, and big players like OpenAI are lobbying for rules that align with their own models," potentially disadvantaging decentralized AIs, Casey notes.

The Future of Agentic AIs: An Uncertain Landscape

Investors should be aware of the potential risks and challenges facing agentic AIs. "It’s okay not to know exactly what will happen as long as you recognize the significance and position yourself for exposure," Hougan advises. As the landscape continues to evolve, one thing is clear: agentic AIs are poised to revolutionize the Web3 ecosystem in 2025.

Investing in Agentic AIs: What You Need to Know

While investing in agentic AI can be complex and uncertain, it also holds significant potential for returns. Here are some key considerations:

Understand the technology: Before investing in agentic AIs, it’s essential to have a basic understanding of the technology behind them.
Research the projects: Carefully research the agentic AI projects you’re considering investing in, looking at their track record, team, and market capitalization.
Diversify your portfolio: Spread your investments across multiple assets to minimize risk.

Conclusion

The rise of agentic AIs is transforming the Web3 landscape, with cryptocurrency staking and onchain trading emerging as early use cases. As these agents continue to evolve, it’s essential for investors to stay informed about the potential benefits and challenges facing this technology.

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