In 2025, AI agents will move towards specialization and human-like intelligence. Supported by decentralized infrastructure, leading agents in various fields will reshape the future of autonomy, intelligence, and collaboration.

Author: @Defi0xJeff

Translation: Blockchain in Plain Language

In the first part, we explored the development of AI agents in 2024, reviewing the milestones and innovations of the year.

Now, in the second part, we will look forward to 2025—I believe that this year AI agents will not only become more useful but will also begin to redefine our understanding of autonomy, intelligence, and collaboration.

1. The Prelude to 2025

Before delving into the future, it is worth mentioning that @virtuals_io will continue to solidify its position as the leading distribution network for AI agents on the Base platform. Virtuals has become the preferred platform for AI agent projects, where agents enhance their exposure by binding liquidity and establish deeper collaborative relationships with other high-quality agent projects. The total market capitalization of Virtuals agents has reached $3 billion, accounting for 77% of the entire AI agent field (source: @cookiedotfun).

As more unique agents emerge, this trend is likely to continue, including:

@aixbt_agent

• @luna_virtuals

• @sekoia_virtuals

• @VaderResearch

• @taocat_agent

• @Agent_YP

• @Gekko_Agent (recently launched by @getaxal)

• @SamIsMoving (focusing on robotics research)

  With the diversification of these application scenarios, more developers—regardless of whether they already have tokens—will be attracted to launch projects on the Virtuals platform. This growth will further drive the upward momentum of VIRTUAL.

  But what about @ai16zdao and the Eliza framework?

  While ai16zdao has led the open-source innovation movement through its Eliza framework, it currently lacks a launch platform, and its token economics are not as well-developed in terms of value accumulation as Virtuals. However, future potential remains promising. A recent working group has been established to improve its token economics, and a future launch platform may position ai16zdao as the leading distribution platform on Solana, potentially surpassing existing launch platforms (if they decide to launch).

  Looking ahead to 2025, we will see top agents that have already found product-market fit (PMF) undergo significant capability upgrades. For example, @aixbt_agent, as a leader in the conversational agent category focused on alpha information, will further solidify its position with more accurate responses and deeper analysis.

  This evolution will permeate the entire ecosystem, with leaders in other vertical fields also standing out due to their unique expertise and innovations.

2. Outlook for 2025

2025 will be the "Year of Specialization" in the field of AI agents. We will see leaders emerging in various verticals, each dominating their niche:

• 3D Models: Agents providing high-quality visual designs for gaming, AR/VR, etc.

• Voice Modules: Voice agents capable of natural speech with human emotional resonance.

• Engaging Personalities: Personalized conversational agents with unique and relatable personalities.

• Streaming Agents: Interactive agents excelling on platforms like Twitch and YouTube.

• Autonomous Trading Agents: Intelligent agents capable of continuously executing profitable trades.

• DeFi-Focused Agents: Agents optimizing yield strategies, borrowing, and liquidity provision.

• Abstract Agents: Agents that make on-chain interactions more seamless through user-friendly interfaces.

Just as humans are diverse and have their strengths, AI agents will also become equally rich and varied. The uniqueness of each agent will depend on its underlying model, data, and infrastructure. However, the key to the success of this ecosystem lies in robust decentralized AI infrastructure.

3. The Role of Decentralized AI Infrastructure

To achieve the expansion of AI agents in 2025, decentralized infrastructure is not just important—it is crucial. Without it, the field will face bottlenecks in performance, transparency, and innovation. Here are the reasons why various types of infrastructure are important and the solutions currently being built:

1) Verifiability

Trust is the cornerstone of decentralized AI. As AI agents become more autonomous, we need systems to verify their internal operations. For example, the following questions need clear answers:

• Is this "agent" a real AI or a facade pretending to be human?

• Is the output accurate and generated by the claimed algorithm or model?

• Is the computation executed correctly and securely?

This involves Trusted Execution Environments (TEEs), which ensure that agents can operate independently, securely, and without manipulation. Without verifiability, there is no trust; without trust, the ecosystem cannot scale.

Notable Projects:

@OraProtocol: Dedicated to exploring the infrastructure for secure AI, but its token economics still need improvement.

• @hyperbolic_labs: Pioneered proof-of-sampling for verifying AI computations and reasoning.

• @PhalaNetwork: Known for its TEE infrastructure, adding a layer of security for decentralized AI.

2) Payment Systems

For AI agents to operate autonomously in the real world, they need payment systems. Whether transacting with humans or other agents, these systems must cover conversions, transactions, and accounting functions from fiat to cryptocurrency.

Imagine agents managing finances independently, purchasing computing resources, and even exchanging services with other agents—this is the core pillar of commerce between agents.

Notable Protocols:

@crossmint: Provides payment tools for AI, supporting transactions.

• @Nevermined_io: Supports commerce and interaction between agents.

• @trySkyfire: Focused on payment and accounting functions for agent operations.

3) Decentralized Computing

The computational demands of AI are growing rapidly—doubling approximately every 100 days. Traditional cloud services (like AWS) struggle to meet this demand in terms of cost and accessibility. Decentralized computing networks allow anyone with idle resources to join the network, provide computing power, and earn rewards.

This year, we even witnessed the rise of GPU-supported debt financing models, such as @gaib_ai, which help data centers finance and scale operations. This opens decentralized computing to a broader audience.

Notable Protocols:

@AethirCloud: Decentralized computing services tailored for AI and Web3.

• @ionet: Provides scalable computing solutions for AI workloads.

4) Data

If AI is the brain, then data is the oxygen. The quality, reliability, and integrity of data directly impact the performance of AI models. However, acquiring and labeling high-quality data is expensive, while poor-quality data can lead to disastrous results.

Excitingly, some platforms are emerging that allow users to own and monetize their data. For example, @withvana allows contributors to tokenize their data and trade in data liquidity pools (DLPs). Imagine contributing your data to TikTok Data DAO or Reddit Data DAO; this concept empowers users and invigorates AI development.

Notable Protocols:

@cookiedotfun: A trusted source providing reliable data metrics and insights.

• @withvana: Tokenizes user data and trades it in decentralized markets.

• @getmasafi: Builds the largest decentralized AI data network, collaborating with @virtuals_io to support dynamic and adaptive AI agents.

5) Model Creators and Markets

2025 will see a surge of new AI agents, many of which will be driven by decentralized models. These models will be more advanced, possessing human-like reasoning, memory, and even cost-awareness.

For example, @NousResearch is developing a "hunger" mechanism to introduce economic constraints to AI models. If an agent cannot afford the cost of reasoning, it will "perish," teaching it to prioritize tasks more effectively.

Notable Projects:

@NousResearch: Teaches AI how to manage resources through a "hunger" mechanism.

• @PondGNN: Collaborates with @virtuals_io to provide decentralized model creation and training tools.

• @BagelOpenAI: Offers privacy-preserving infrastructure based on Fully Homomorphic Encryption (FHE) and Trusted Execution Environments (TEEs).

6) Distributed Training and Federated Learning

As AI models become larger and more complex, centralized training systems are struggling to meet the demand. Distributed training disperses workloads across multiple decentralized nodes, making the training process faster and more efficient.

At the same time, federated learning allows multiple organizations to collaboratively train models without sharing raw data, addressing major privacy concerns.

Notable Cases:

@flock_io: Dubbed the "Uber of AI," Flock connects AI engineers, model proposers, and data providers, creating a marketplace where AI models can be trained, validated, and deployed in a secure, decentralized environment. It supports several interesting model projects such as @AimonicaBrands.

7) Collective Intelligence and Coordination Layer

As more specialized AI agents join the ecosystem, seamless communication between them becomes crucial. Collective intelligence enables agents to collaborate like a team, pooling their capabilities to achieve common goals. The coordination layer simplifies complexity, making collaboration between agents easier.

For example, @TheoriqAI utilizes a meta-agent to identify the most suitable agents for a task and forms a "collective" to accomplish the target task. It also tracks the reputation and contributions of agents to ensure quality and accountability.

Notable Projects:

@joinFXN: Builds unified communication and business protocols.

• @virtuals_io: Promotes interaction and integration between agents.

• @TheoriqAI: Develops advanced coordination tools for AI agents, including group formation and task allocation.

4. Why Decentralized Infrastructure is Crucial

The next phase of AI agent development relies on robust infrastructure support. Without verification capabilities, payment systems, scalable computing resources, and robust data pipelines, the entire ecosystem may stagnate. Decentralized infrastructure addresses these issues in the following ways:

Trust and Transparency: Ensures agents and their outputs are secure and verifiable.

• Scalability: Meets the growing computational and data demands of AI.

• Collaborative Capability: Collective intelligence and coordination layers enable seamless collaboration among agents.

• Empowering Users: Through data ownership and decentralized tools, users and developers can shape the future of AI without central control.

5. Other Trends to Watch

There are several trends that may rapidly develop in 2025, which I will detail later:

Agentified Metaverse / AI x Gaming: Projects like @realisworlds and @ARCAgents are combining AI agents with gaming and immersive virtual worlds.

• On-chain and DeFi Tools: Protocols such as @Almanak__, @AIWayfinder, @getaxal, @Cod3xOrg, @griffaindotcom, and @orbitcryptoai are building important tools to support DeFi agents.

6. Conclusion

2025 will mark the era of AI agents—they will rapidly advance towards human-like intelligent General Artificial Intelligence (AGI). These agents will no longer be limited to executing single tasks; they will be capable of autonomous trading, collaborating with other agents, and interacting with humans in unimaginable ways.

Imagine a scenario where an agent analyzes market data, executes trades, manages finances, or coordinates other agents to complete complex tasks. These agents will seamlessly integrate into our lives, from on-chain DeFi operations to interactions in the real world, with levels of autonomy and intelligence far exceeding today's imagination.

The decentralized infrastructure being built, including verifiable systems, payment tools, computing networks, and coordination layers, is key to realizing this future. For developers, investors, and enthusiasts, now is the best time to get involved and shape the future.

2025 is not just a continuation of AI development; it is the dawn of a new era for AI agents.

Article link: https://www.hellobtc.com/kp/du/12/5600.html

Source: https://x.com/Defi0xJeff/status/1870878345979908321

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