Top 10 Predictions for the Encryption AI Field in 2025

With the explosion of the AI industry, Crypto x AI has rapidly risen. A researcher made 10 predictions for 2025, and below are the details of the predictions.

1. The total market value of encryption AI tokens reaches 150 billion USD

Currently, the market capitalization of encryption AI tokens accounts for only 2.9% of the total market capitalization of altcoins, but this ratio is expected to increase significantly. AI covers multiple fields from smart contract platforms to meme, DePIN, Agent platforms, data networks, and smart coordination layers, and its market position is expected to rival that of DeFi and meme.

Reasons include:

• Encryption AI is at the intersection of two powerful technologies.
• Possible AI frenzy trigger events
• Retail investor enthusiasm

2. Bittensor Revival

As a veteran project of decentralized AI infrastructure, Bittensor(TAO) has recently achieved a significant breakthrough:

• Subnet registration fee reduced
• The inference speed and other metrics outperform Web2 peers
• EVM compatibility introduces DeFi-like functionalities

The launch of dTAO could be a turning point, with each subnet having its own token to determine emission distribution.

Reasons for Renaissance:

• Market-based emission mechanisms
• More precise capital flow
• EVM integration attracts more developers

3. Calculate the market to become the next "L1 market"

The demand for computation is growing exponentially, and decentralized computing layers provide raw computing resources in a verifiable and cost-effective manner. Startups like Spheron and Gensyn are establishing a solid foundation.

Compared to L1:

• Similar to the L1 competition in 2021
• Expected to attract part of the traditional cloud computing market

Winners will dominate a brand new field, focusing on reliability, cost-effectiveness, and developer-friendliness.

4. AI agents will flood blockchain transactions

By the end of 2025, 90% of on-chain transactions may be executed by AI agents for purposes such as rebalancing liquidity pools, allocating rewards, or executing micro-payments.

Reason:

• Reduce human error
• More frequent small payments
• Users are willing to give up some direct control.

This will bring a large amount of on-chain activity, but it will also require new governance mechanisms and auditing tools.

5. Rise of the Agent Clusters

The Agent cluster will enable seamless collaboration between AI agents, forming a decentralized collection of specialized models. Each Agent is responsible for specific tasks, working together to achieve complex goals.

Story Protocol, FXN, and others are laying the foundation for Agent clusters. The key role of decentralization is reflected in transparent on-chain rule management and the system's resilient adaptability.

6. The encryption AI work team will be a human-machine hybrid.

In the future, we will collaborate with AI Agents, viewing them as equal team members. This will bring:

• Productivity surge
• Establish trust through smart contracts
• The evolution of social norms

The boundary between "employees" and "software" will begin to blur in 2025.

7. 99% of AI Agents will vanish

Only Agents that can generate enough value to cover operational costs can survive. This elimination mechanism is beneficial for industry development, encouraging developers to prioritize practicality over gimmicks.

8. Synthetic data surpasses human data

Synthetic data will become the main source of training AI, with advantages such as unlimited scale, privacy-friendly, and customizable. In the future, "micro-labs" may emerge that specialize in generating highly specialized synthetic datasets.

9. Decentralized training is more practical

Decentralized training technology is continuously breaking through, such as EXO Labs' SPARTA which significantly reduces communication between GPUs. It is expected that high-performance models capable of running on edge devices and even mobile phones will emerge in the future.

10. Ten New Encryption AI Protocols Reach a Market Value of 1 Billion USD

The encryption AI market is huge and still underdeveloped, with at least ten new encryption AI protocols ( that have not yet issued tokens. The circulating market value of ) is expected to exceed $1 billion. New protocols may stand out through innovative incentive mechanisms, technological breakthroughs, and improvements in user experience.