Tanaka@Tanaka_L2
This is why I hold $TAO | @opentensor 👇👇
I’ve written quite a few posts about $TAO, but it seems many of them were quite long, so some people may not have captured the full idea. In this post, I want to summarize the key reasons why I continue to hold and accumulate TAO.
[1] The first reason is that Bittensor is building a decentralized AI network that challenges Big Tech monopolies
Instead of a centralized AI lab like OpenAI or Google, Bittensor creates a network of subnets where:
– builders can deploy models
– miners provide compute
– validators evaluate the quality of outputs
Rewards are distributed in $TAO based on real performance.
This turns AI development into a global competitive marketplace, rather than a game controlled by a few Big Tech companies.
[2] The second reason is that the subnet architecture opens the door to an AI economy
Currently there are around 126 active subnets on Bittensor.
Each subnet acts like a small market focusing on a specific AI vertical such as:
– inference
– data
– training
– specialized AI services
Looking at the long term, this structure could evolve into an AI economy layer built on blockchain.
[3] The pull from the AI trend and new capital inflows
AI is currently one of the biggest narratives in technology.
$TAO has started attracting attention not only from crypto natives but also from institutional investors and AI enthusiasts outside crypto, including names like Grayscale and Barry Silbert.
This shows that new capital is beginning to explore the DeAI thesis.
[4] $TAO tokenomics is very similar to Bitcoin
– Max supply: 21M
– Halving reduces mining rewards over time
– No premine, no ICO, no large VC allocation
– Rewards are distributed directly to participants contributing to the network
In a market where many tokens are heavily diluted by VC and insider allocations, this model creates a very clear scarcity structure.
[5] Growth potential and innovation from the roadmap
The 2025–2026 roadmap for Bittensor is quite interesting.
– Free subnet registration
– No limit on the number of subnets
– Encouraging builders to experiment with new AI models
In addition, dTAO is being developed as an economic layer for AI and digital commodities, allowing pricing, speculation, and community building around individual subnets.
The network has already begun to show product market fit in compute and inference, with subnets accounting for roughly 30% of the network’s total value.
These are the reasons why I continue to hold and accumulate $TAO.
If the thesis around AI + crypto + decentralized compute continues to grow over the next few years, I would not be surprised to see $TAO reach $1000, and possibly $3000 further down the road.
Ofc, NFA.
