Industry insiders informed Cointelegraph that in 2025, artificial intelligence agents will revolutionize Web3 and Staking, with on-chain trade and cryptocurrency staking being the first applications. Machines that can act independently to achieve complex goals are already changing the face of the digital economy through creating Web3 apps, releasing tokens, and engaging with people. Cointelegraph spoke with J.D. Seraphine, a Web3 AI engineer at Rainmaker, who predicted that. AI agents will be more prominent in decentralized communities” in 2025.
Michael Casey, co-founder of the Decentralized AI Society, told Cointelegraph. They would encounter several obstacles, such as technical difficulties, legislative constraints, and the threat of centralization. Casey warned that artificial intelligence (AI) and other centralized, misaligned systems could push humanity. When decentralization is not put into place, things might get dicey.
AI Agents in Web3 $10 Billion Market Growth in 2024
By December, according to a report by VanEck, Web3 and Staking will host some 10,000 AI agents. Who were raking in millions of dollars weekly from on-chain activities. According to asset management, as many as one million AI bots will fill blockchain networks by the end of 2025. According to Bitwise’s head of research, Matt Hougan. The potential universe of AI agents interacting with Crypto is infinite” (Cointelegraph, an asset manager.
As per CoinGecko, in 2024, tokens associated with agentic AI achieved a market. Worth over $10 billion, with most of that growth occurring in the fourth quarter. Two examples of agentic AI initiatives include Virtuals, which provides a platform for creating AI agents on Coinbase’s Base network, and ai16z, which seeks to employ AI to guide on-chain investments.
Decentralized AI Staking and Challenges
Hougan told Cointelegraph that sttoken-holdersstoken-holderstokenholders token-holdersial early use case for agentic AIs. There will be many tests, but only a handful will be truly effective. Alogical f, I first step” would be for AI agents to participate in staking. Staking is a way to secure a blockchain network by entrusting validators with tokens in return for a portion of the transaction costs.
According to data from Daos.fun, EDaos, the agent of ai16z. Supposedly maintains an on-chain liquidity pool autonomously and clocks annualized profits of over 60%, according to Casey. Compared to their centralized alternatives, like OpenAI’s ChatGPT, on-chain AI models still fall short in technical aspects like processing power and speed.
Seraphine said that finding “decentralized solutions to ensure high. Quality training data while protecting user privacy” is a significant decentralized AI agent that can be used in real life. Because “AI will face increasing pressure to be overseen, and big players like OpenAI are lobbying for rules that align with their models. According to Casey, The trend could negatively impact stateless AIs. According to Hougan, investors need not worry about knowing the exact outcome as long as they understand the importance and are prepared for any risks.
Final thoughts
Because of its possible applications in on-chain trading and cryptocurrency staking, the advent of AI agents Web3 and Staking will likely result in a dramatic shift in the digital economy by 2025. There are a lot of obstacles to overcome, such as legislative difficulties, technical constraints, and the danger of centralization, but the expansion of decentralized AI agents is encouraging.
Despite these challenges, the emergence of AI-related coins and projects in 2024 shows that blockchain networks have enormous promise for AI-driven advancements. Decentralized solutions, careful risk management, and the capacity to traverse an increasingly regulated world will be crucial for the success of AI agents as they continue to advance. Developers and investors must be ready to face the possibilities and threats this game-changing technology poses.
FAQs
How will AI agents impact Web3 by 2025?
By 2025, AI agents are expected to play a prominent role in Web3, particularly in applications like on-chain trade and cryptocurrency staking, transforming the digital economy.
What is staking, and how do AI agents participate in it?
Staking is a process in which tokens are entrusted to validators in exchange for a share of transaction fees. AI agents may participate in staking to help secure blockchain networks and potentially earn rewards.
What challenges do AI agents face in Web3?
AI agents in Web3 face challenges such as technical limitations, regulatory constraints, and the risk of centralization, which could undermine their decentralized nature.
How much is the market for AI agents in Web3 growing?
In 2024, AI agent-related tokens saw market growth exceeding $10 billion, with projections indicating that by the end of 2025, millions of AI bots could be active in blockchain networks.
