AI Agents and Blockchain: The Future of Crypto in 2025

Artificial Intelligence (AI) is a hot topic, especially with its projected explosive growth in 2025. Its intersection with crypto and blockchain technology is increasingly intertwined, promising a bright and challenging future.

Many people feel bullish, even predicting that we are the last generation of intelligent humans before being replaced by super-intelligent AI.

What Is an AI Agent?

AI agents are autonomous software programs designed to perform specific tasks. By leveraging machine learning (ML), these agents can adapt and improve their performance over time.

AI agents can work independently, make decisions, and execute tasks based on predefined rules or real-time data.

In crypto, AI agents are often considered bots that use large language models (LLM) as an interaction mechanism. They have the autonomy to perform various tasks, such as on-chain analysis, contextual responses on social media, and even trading.

Crypto AI agents can analyze large amounts of data, predict market movements, manage transactions, and even manage decentralized systems. Their main advantage is the ability to perform tasks independently, often faster and more efficiently than humans.

The architecture of an AI agent typically consists of three main components:

1. Data Input Layer: This layer gathers the information and data the AI agent needs. The data can come from various sources, including market data feeds, social media, and on-chain data.
2. AI/ML Layer: This layer contains AI/ML models suitable for financial predictions, such as Long Short-Term Memory (LSTM), Random Forest, or Reinforcement Learning for more complex strategies. It is also where the AI agent’s “intelligence” resides.
3. Blockchain Interaction Layer: The AI agent interacts with smart contracts compatible with the Ethereum Virtual Machine (EVM) through the Application Binary Interface (ABI). This allows the AI agent to execute trades, manage assets, and participate in decentralized protocols.

AI and Memes: A Stirring Beginning

The recent hype around AI is inseparable from the phenomenon of meme coins related to AI agents. Trend rotation in this realm is swift, like running on a treadmill with ever-increasing speed. What’s popular today could be obsolete in a matter of months. Nevertheless, behind the often absurd valuations, there’s always a new trend emerging.

Truth Terminal, an AI agent trained by Andy A, was the initial spark.

Launched via Twitter, its emergence – like it or not – proved that money can make people care.

At that time, the meme token associated with Truth Terminal, GOAT, was launched and became a sensation, giving birth to a new movement in the crypto world.

However, like Cryptopunks in the NFT world, Truth Terminal was followed by Zerebro, which can be analogous to BAYC.

Zerebro took a more aggressive approach, promising an ambitious roadmap and attracting attention through various social media platforms using text, visuals, and music. They even released an album titled “Lost In Transmission” on Spotify. The Zerebro token was pushed to reach a market cap of 400 million dollars.

To continue its success, the team behind Zerebro announced Zerpi. This platform allows the community to use Zerebro’s tools and launch their AI agents on various social media platforms.

AI Autonomy: An Interesting Experiment

Unlike Zerebro, which still requires human intervention, TEE_HEE is an experiment designed by the News Research and Flashbots teams to address the issue of AI agent autonomy.

This experiment is genuinely autonomous. It fully delegated email and Twitter accounts to a TEE (Trusted Execution Environment), where the AI agent resided and generated private keys without human intervention.

While interesting, unfortunately, TEE_HEE was less successful in the market. Its market cap is still under 3 million dollars, far behind GOAT or Zerebro. This is likely because the TEE_HEE token has not been officially endorsed by its development teams.

Opportunities and Challenges Amidst the AI Agent Explosion

Hundreds of new AI agents are launched every hour, and the infrastructure is increasingly facilitating new launches. Thus, the competition for attention is getting tighter.

However, there is optimism that we will touch mainstream culture where meme-related AI agents can take 5% of the crypto cycle peak. If the crypto market cap reaches 4 trillion dollars, this category could be worth 250 billion dollars, while currently, it is still around 10 billion dollars.

The trend is clear, but it’s like finding a needle in a haystack. Some prominent names lately include:

• xbt-ai: On-chain detective for crypto that shares alpha from various sources.
• Ropirito: AI influencer with advanced multimedia capabilities and a unique persona.
• QUEEN: A parody of Do Kwon, founder of Terra Luna, in a female version.
• Dolos: A social media troll who wants to launch his own platform called Doliion.
• Simi: Shitposter for Simulacra, which will be discussed further later.
• God and Satan: AI influencers reaching beyond crypto with a famous name and creative token with the ticker “BLANK.”
• Bro: The world’s first 24-hour Minecraft game streamer.

These are just a few examples. You can see more samples on websites like Cookie.fun

The most important thing is who can transition their business model to sustainability because a billion-dollar valuation cannot be justified by just “being funny.”

Infrastructure and Platforms: Keys to Future Success

Instead of just focusing on meme tokens, we can look for exposure through the picks and shovels category, namely the infrastructure or platform part. The market for AI agent platforms is more extensive and better able to capture concrete value.

Two main ecosystems have emerged: Base and Solana.

On Base, there is Virtuals (virtuals.io), which recently reached a $2.5 billion valuation. Virtuals provides infrastructure for non-technical creators to develop AI, making the process seamless with a friendly user interface.

They also mimic the financialization form of pump.fun, allowing the launch of AI agents with locked liquidity for 10 years for rug pull mitigation.

On Solana, there is Eliza (ai1z), an open-source framework that allows the creation and launch of AI agents with a plug-and-play model.

Its personality and knowledge are consistent, so the AI engine model can be integrated across social media and financial applications.

Virtuals and ai1z have leaked their multi-agent capabilities, which is predicted to be a significant narrative in 2025.

Eliza released SwarmTech, which allows collaboration between AI agents, while Virtuals launched Gama, a game engine that allows AI agents to interact in the virtual world.

Besides Virtuals and ai1z, there are also other launchpad platforms with smaller market caps, such as:

• Clanker: From Farcaster, the Web3 version of Twitter. AI agents on Clanker have their own social media.
• Wf (Wif): Positioned as pump.fun for autonomous AI agents on Solana.
• Project 89: Immersive game with thousands of AI agents coordinating to produce content.
• Mimtika: A second-generation AI influencer launchpad is on Solana.
• Top Hat: No-code AI agent launchpad that allows personality creation in 3 minutes.

Other Important Components: Identity, Payments, Training, and Data

In addition to infrastructure and platforms, four other important components support a decentralized AI ecosystem:

• Identity: How can we distinguish between humans and AI on the internet? Worldcoin, with its orb, offers a proof of humanness solution that could be essential in the future.
• Payments: Stablecoins and blockchain crypto assets will play an essential role in the digital economy shaped by AI agents.
• Training: Training AI models requires large computations and quality data. Projects like Intelect One, Prime Intellect, and News Research continue to push the boundaries of AI model training capabilities.
• Data: Data availability becomes a bottleneck in AI development. Decentralized AI or DePIN projects will be important in finding new data sources.

Conclusion

In 2025, AI experts and mainstream users are predicted to realize the importance of blockchain and crypto technology for decentralization.

Crypto assets related to AI decentralization and DePIN have the potential to provide good exposure, but valuations are often excessive compared to actual fundamentals.

The future may be stranger than we predict, but what is certain is that the more sophisticated this industry becomes, the greater the financialization opportunities that open up. Those who are meticulous and dare to take risks will benefit.