Top Ten Trend Predictions for the Encryption AI Field in 2025

Recently, a researcher focused on the intersection of encryption and artificial intelligence made 10 predictions for 2025. Here are the main points of the predictions:

1. The total market value of encryption AI tokens will reach 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 proportion is expected to rise significantly. AI covers multiple areas, from smart contract platforms to memes, DePIN, agent platforms, data networks, and smart coordination layers, and its market position is expected to be on par with DeFi and memes.

The predictors are very confident about this, mainly based on the following points:

• The integration of encryption and AI technologies
• Potential Global AI Boom
• The fervent participation of retail investors

2. The Bittensor project will迎来复兴.

As an established project in decentralized AI infrastructure, Bittensor(TAO) has recently made progress in multiple areas:

• Subnet registration fees reduced
• Inference speed and other indicators surpass similar products in Web2.
• Introduce EVM compatibility, support for DeFi-like functions

The dTAO, expected to be launched in the first quarter of 2025, could become an important turning point. dTAO will allocate independent tokens for each subnet and determine emission distribution through market mechanisms.

3. The market will become the next "L1 market"

The exponential growth in computing demand will drive the development of decentralized computing layers. Some startups that focus on products rather than tokens have quietly laid out their plans. As decentralized training of AI models becomes feasible, the overall market potential will significantly increase.

The competition between future computing protocols may be similar to the competition among major L1 public chains in 2021. Focusing on reliability, cost-effectiveness, and developer-friendliness will be the key to victory.

4. AI agents will dominate blockchain transactions.

It is expected that by the end of 2025, 90% of on-chain transactions will be executed by AI agents rather than direct human operation. These agents will continuously rebalance liquidity pools, allocate rewards, or execute small payments based on real-time data feedback.

The driving factors of this trend include:

• Reduce human error
• Supports more frequent and efficient micropayments
• Simplify user operation process

As the proportion of transactions initiated by agents rises, new governance mechanisms, analytical platforms, and auditing tools will be needed.

5. The rise of intelligent body clusters

In the future, AI intelligent agents will no longer operate in isolation but will form a networked cluster. These clusters can exchange information, negotiate, and collaborate on decisions, contributing their respective expertise for more complex tasks.

The application scenarios of smart agent clusters include:

• Coordinate distributed computing resources
• Real-time verification of information sources to combat the spread of false information.

The establishment of universal communication standards is crucial for the vigorous development of agent clusters. Decentralized transparent on-chain rules will make the system more resilient and adaptable.

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

In the future, AI agents will become true collaborators, possessing autonomy, responsibility, and even compensation. Companies across various industries are testing human-machine hybrid teams.

The characteristics of this trend include:

• Significant increase in productivity
• Establish trust through smart contracts
• Social norms are constantly evolving

By 2025, the boundaries between "employees" and "software" will begin to blur.

7. 99% of AI agents will be eliminated.

In the future, we will witness a "Darwinian" elimination among AI agents. Only those agents that can generate enough value to cover their operating costs will survive.

This survival of the fittest mechanism will drive innovation in the industry, prompting developers to prioritize practicality over gimmicks. As more powerful and efficient agents emerge, it will help dispel the doubts of skeptics.

8. Synthetic data will surpass human data

Synthetic data provides a scalable, ethical, and privacy-protecting alternative to human data. Its advantages include:

• Can be generated in unlimited quantities
• Does not involve personal privacy information
• Can be customized according to needs

In the future, there may be "micro-labs" specifically created to generate highly specialized synthetic datasets for specific use cases.

9. Decentralized training will become more practical.

With technological advancements, micro models will become more practical and efficient. The future of AI lies not in scale, but in becoming better and easier to use. High-performance models that can run on edge devices and even mobile phones are expected to emerge soon.

10. The market value of ten new encryption AI protocols will reach 1 billion US dollars.

It is expected that by the end of 2025, at least ten new encryption AI protocols that have not yet launched will have a circulating market value exceeding $1 billion.

This field is still in its infancy, and the talent pool is constantly growing. New protocols, token models, and open-source frameworks will continue to emerge. Through innovative incentive mechanisms, technological breakthroughs, and improvements in user experience, new participants have the opportunity to rise rapidly.