Prediction of Persisting Excitement Regarding Artificial Intelligence Entities by an Expert
According to Hasib Qureshi, Managing Partner at Dragonfly, AI agents will dominate the crypto community narrative in 2025 and beyond, significantly transforming the landscape of decentralized finance (DeFi), asset management, data indexing, security, and user adoption.
Automation and Intelligence in DeFi and Crypto Trading
AI agents are expected to automate complex interactions and trading strategies, improving portfolio optimization and enabling decentralized, algorithmic asset management platforms like DeXe. This could make investing more efficient and accessible.
Infrastructure and Data Handling for AI in Blockchain
Projects like The Graph are crucial, providing decentralized indexing of blockchain data that AI agents rely on to function effectively. This infrastructure supports AI-driven decentralized applications (dApps) and on-chain ecosystems by making clean, structured data easily queryable.
Enhancing Security and Trust in Crypto Ecosystems
As AI agents gain influence, there are concerns regarding security risks, such as more sophisticated fraud and bot exploitation in DeFi and DAO governance. Experts emphasize the need for building trust layers, including verifiable on-chain identities, to ensure AI agent actions are safe, transparent, and traceable to legitimate human intent.
Driving Innovation in Decentralized Physical Infrastructure Networks (DePIN)
AI agents integrated with blockchain-based physical infrastructure, such as Ozak AI, are expected to provide resilient, multitasking decentralized systems for industries from DeFi analytics to NFT automation, positioning such projects as potential breakthroughs in 2025.
Boosting Crypto Adoption through Intelligent Assistance
Platforms like Bitget are leveraging "agentic AI" to help both novice and experienced users make smarter, faster decisions in crypto trading and engagement, potentially increasing adoption through better usability and confidence.
The consensus is that AI agents will enable more scalable, efficient, and secure crypto services. However, this requires overcoming challenges in trust, identity verification, and security against exploits. Major AI-crypto projects to watch include Bittensor (TAO), Fetch.ai (FET), The Graph (GRT), and Ozak AI, combining AI with blockchain for new utility and infrastructure.
While AI’s integration with crypto unlocks new opportunities like decentralized AI training, automated asset management, and advanced data indexing, experts caution that without robust governance and trust frameworks, risks from fraud and automated attacks could increase. Hence, the evolution of AI agents in crypto by 2025 and beyond is seen as a pivotal development requiring careful design for safety, transparency, and community governance.
[1] Investopedia. (2021, August 19). DeXe: A Decentralized Exchange Aggregator. Investopedia. https://www.investopedia.com/terms/d/dexe.asp
[2] Ozak AI. (n.d.). Ozak AI. Retrieved February 25, 2023, from https://www.ozak.ai/
[3] Fetch.ai. (n.d.). Fetch.ai: Open-source, decentralized machine learning platform. Fetch.ai. https://fetch.ai/
Technology in the realm of DeFi and crypto trading is expected to leverage artificial-intelligence (AI) agents for automating complex interactions and trading strategies, enhancing portfolio optimization and enabling decentralized, algorithmic asset management platforms like DeXe. [Investing becomes more efficient and accessible]
Projects like The Graph, a crucial infrastructure for AI agents in the blockchain ecosystem, provide decentralized indexing of blockchain data, enabling clean, structured data to be easily queryable for AI-driven decentralized applications (dApps) and on-chain ecosystems. [These infrastructures are essential to AI agent functionality]
