Bittensor vs Virtuals: Two starkly different AI flywheel mechanisms

Original author: 0xJeff, AI investor

Compiled by: AididiaoJP, Foresight News

This article aims to provide a brief comparison between Bittensor subnets and Virtuals agents to help understand their respective flywheel mechanisms, differences, and similarities.

I. Guiding funds and talent through emission mechanisms vs. guiding funds through trading volume

Bittensor guides subnet development through a TAO emission mechanism. Subnets are responsible for introducing the most innovative projects (or revenue-generating businesses) and competing for a daily allocation of 3,600 TAO tokens.

The subnet also incentivizes contributors (including miners who perform tasks and validators who validate miners' work) through its Alpha token emission mechanism. The emission mechanism and the incentive coordination mechanism across stakeholders have been embedded since the project's inception.

Virtuals adopts a similar model to pump.fun, driving growth through trading volume. High trading activity translates into capital accumulation for agent projects. Agent teams can leverage their own emission mechanisms to incentivize user participation.

This model has a significant advantage in market cycles where demand for speculative tokens is high—teams can quickly accumulate capital, gain product attention and market interest, thereby driving project launch and development.

II. High Barrier to Entry vs. Low Barrier to Entry (For Teams)

Launching a subnet on Bittensor requires a significant investment. Currently, acquiring a subnet seat costs 871 TAO (approximately $300,000), with the price fluctuating based on demand and the auction mechanism. This means that subnet teams typically need a mature concept, clear planning, and solid execution capabilities.

To successfully operate a subnet, the owner must ensure that the set tasks or goals contribute to the development of its artificial intelligence products/solutions, while preventing mining fraud, ensuring that validators effectively fulfill their verification responsibilities, generating revenue through business development and cooperation with customers, and maintaining investor confidence through a buyback mechanism.

The price of subnet tokens needs to maintain an upward trend to attract more TAO inflows, increase the subnet's emission share, and thus attract higher-level contributors to participate in mining.

In contrast, launching AI agent tokens on Virtuals has a lower barrier to entry, requiring no initial cost, making it easier to test new ideas with less capital.

Virtuals also has a "60-day plan" that allows founders to test new ideas and issue tokens during this period. If a product fails to find a fit with the market within 60 days, the funds will be withdrawn, and investors can get back a portion of their invested capital.

III. Weak Distribution Capability vs. Strong Distribution Capability

Bittensor runs independently on a blockchain built on the Polkadot Substrate framework, making cross-chain bridging difficult. It lacks decentralized finance (DeFi) components and is not equipped with common infrastructure such as the Ethereum Virtual Machine or Solana.

This results in a high barrier to entry for the Bittensor ecosystem. Furthermore, the abundance of complex terminology in related learning materials increases the difficulty for new users to learn and understand. Consequently, its community members are mostly professional technical individuals willing to invest time in in-depth research, with low participation from individual users.

In contrast, Virtuals has a lower barrier to entry. Its team excels in marketing, brand communication, and distribution, allowing individual users to intuitively understand concepts such as AI agents, agent payments, and robots.

Because Virtuals is deployed on the Base chain, the purchase process for AI agent tokens is convenient. The time from users learning about the project, forming a positive opinion, to making a purchase decision is relatively short, which is an important reason for its rapid popularization between the end of 2024 and 2025 (earlier than Bittensor).

Currently, Bittensor is gradually gaining mainstream attention thanks to the efforts of Jason, Chamath, Barry Silbert (DCG and Yuma), and the community. However, the process of purchasing its subnet tokens remains complex, and the problem has not yet been fundamentally resolved.

IV. TAO/Subnet Liquidity Pool vs. VIRTUAL/Agent Liquidity Pool

Bittensor and Virtuals share key similarities in their liquidity pool flywheel mechanism.

Investors wishing to purchase Alpha tokens from the subnet must hold TAO before they can proceed. Therefore, increased demand for Alpha tokens will drive up the price of TAO.

Similarly, within the Virtuals ecosystem, the increased demand for AI agent tokens will also drive up the price of VIRTUAL.

The advantages of this mechanism will be more apparent if the core token (TAO or VIRTUAL) can circulate within the ecosystem without flowing out (for example, by projects trading goods and services to retain value).

V. Infrastructure-oriented vs. Application-oriented

Bittensor subnets focus primarily on infrastructure or capital-intensive businesses, such as decentralized computing, inference, training, drug development, and quantum experiments.

Because Bittensor can provide more than $10 million in funding annually for high-quality subnets and attract top talent, its model is suitable for driving ambitious, high-investment ideas .

Virtuals' agent team focuses primarily on application-layer and consumer-facing agent products. Given the low initial price of the agent token, if the team can launch high-quality consumer-grade products, they can leverage the token's market popularity to quickly attract attention and drive project growth.

Thanks to Virtuals' advantages in distribution, the flywheel effect of AI agent tokens showed faster growth and higher increases during periods of extreme market activity (such as the end of 2024 to the beginning of 2025).