2025 will be the year of AI agents, Web3 execs say

As a seasoned crypto investor with over a decade of experience navigating the digital frontier, I can confidently say that the integration of AI agents into Web3 in 2025 is an exciting development that warrants our attention and investment. My journey through the cryptosphere has been marked by numerous ups and downs, but I’ve always found myself drawn to the promise of innovation that this space offers.

By the year 2025, it’s anticipated that AI-powered agents will significantly reshape the landscape of Web3. Early adopters are expected to see the implementation of cryptocurrency staking and on-chain trading as pioneering applications in this transformation, according to insights shared by industry leaders with CryptoMoon.

Autonomous AI agents, which have the ability to pursue intricate objectives independently, are currently redefining the digital marketplace. They’re developing Web3 applications, minting tokens, and even engaging in human interactions on their own.

By the year 2025, AI agents are forecasted to assume greater significance in the context of autonomous digital societies, as per predictions made by J.D. Seraphine, a Web3 AI specialist at Raiinmaker, during his interview with CryptoMoon.

In addition, they might encounter obstacles such as technical difficulties, bureaucratic barriers, and a tendency towards centralization, as per Michael Casey, the co-founder of the Decentralized AI Society, when he spoke to CryptoMoon.

Casey stated, “If we don’t shift away from centralized systems that are not aligned, they could lead us towards a disastrous precipice, and this is particularly true in the context of artificial intelligence.

One million AI agents

According to a report by VanEck, as of December, around 10,000 AI agents are residing in Web3, together generating millions of dollars every week through online transactions.

By the year 2025, it is anticipated that more than a million artificial intelligence (AI) entities will be present on blockchain systems, according to the asset manager’s predictions.

Matt Hougan, head of research at Bitwise Asset Management, stated that the possibilities for artificial intelligence (AI) engaging with cryptocurrencies are virtually limitless when interacting with them,” suggested in a more natural and easy-to-read manner.

2024 marked a significant milestone for me as a crypto investor, with tokens linked to autonomous AI systems surging past a whopping $10 billion in market cap, primarily during the last quarter. This growth trend was evident on platforms like CoinGecko.

AI projects with an agentic focus encompass ai16z, a system designed to steer investment decisions via blockchain technology, as well as Virtuals, a service that enables the deployment of AI entities within Coinbase’s Base network.

Early use cases

Human tokenholders can benefit from cryptocurrency staking at an early stage through the agency of AI, according to Hougan’s statement to CryptoMoon.

In the upcoming period, we’ll witness numerous experiments, but only a handful will become permanent. A promising initial move could be involving AI agents in staking, as it appears to be a sensible first step, according to Hougan.

In simpler terms, staking refers to the process of supporting a blockchain network by keeping your tokens in the hands of validators who receive a portion of transaction charges as rewards.

In simpler terms, the AI called Eliza, which belongs to ai16z, independently handles a cryptocurrency liquidity pool located on the blockchain. This pool appears to generate annual returns that surpass 60%, based on information provided by daos.fun.

Even though on-chain AI models currently trail centralized alternatives like ChatGPT from OpenAI in terms of technical aspects like speed and processing capabilities, according to Casey.

To develop effective, decentralized artificial intelligence (AI) agents, it’s crucial to discover “methods that can provide top-tier learning data without compromising user confidentiality,” as Seraphine explained.

In the near future, AI could encounter growing demands for regulation, and influential companies such as OpenAI are advocating for guidelines that cater to their specific designs. This might create an uneven playing field, according to Casey.

Investors can be alright with not having all the answers about future events, as long as they understand the importance of the situation and prepare themselves to take advantage of any potential opportunities.

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2024-12-21 01:07