I expect 2027 to be the year TAO goes ultra parabolic.
The tokenomics are baked into the ecosystem like Bitcoin and BTC.
People need to remember that it takes 1 year post halving on average for BTC to get the supply shock that sends it into the stratosphere.
The fact we are 9 months into a bear market combined with the fact that we are 8 months post halving lead me to believe TAO can easily do 5x-15x next year to kick off the next cycle.
This bear market drawing to a close in t-3 months, halving supply shock t-4 months, subnets being listed on major exchanges … the patient man wins.
Releasing https://t.co/WB0cM5WVcL 🚀
The fastest Bittensor $TAO transactions dashboard.
+ Real-time block data.
+ Unique flow views.
+ Up to 4 live price charts.
Understand the flow of $TAO liquidity accross all 128 subnets and monitor the trades like nowhere else.
Hope this sets the bar higher for the trading platforms building on Bittensor 🥩
This is the best #Bittensor report I've ever seen
Hands down.. the best 👏
If you are looking to introduce #Bittensor to new people or just looking to $TAO-pill friends and family..
This report from @Old_Samster and the team at @UnsupervisedCap is the one to show them
Read here 👉https://t.co/4tQWjOHGBc
#Bittensor is a generational opportunity.. this report shows you why
$TAO
🔥INTRO TO TAO🔥
for a while now I have wanted to create a comprehensive yet concise resource that serves as an "introduction to TAO" for family offices and tradfi capital
why is this important? "check our github repo" doesn't work for investors > age 40 who want to know more about your subnet. see graph below on why this is important.
so...here you go. please feel free to share as desired. just leave my logo in there so people know the source.
https://t.co/TBAwiTqtAu
#bittensor #subnetsummer $dTAO $TAO
$100k per $TAO will mean nothing if your hot wallet gets hacked or you fall victim to a phishing scam.
In less than 9 mins you'll learn the (often unknown) risks of hot wallets (that you're probably using), which cold-storage hardware wallet to use and how to set it up to secure your $TAO so you can actually retire your bloodline.
Don't become another sad statistic. If you have even 1 $TAO, it's worth spending a few minutes to make sure you still have it next year.
#Bittensor #AI
ChatGPT does 60 trillion tokens / mo in 2.5 years.
Bittensor does 2 trillion tokens / mo from zero in < 6 months (sn 4,64,56, etc).
The former raised $70 billion and is “worth” $300B~, hemorrhaging losses and owned by the few.
The latter is subsidized by $TAO and owned by all.
Valuing Bitcoin vs Bittensor 🧠
Bitcoin and Bittensor (TAO) both grow through network effects — but very differently.
Could $TAO ever reach the current value of $BTC?
Let’s break it down 👇
Bittensor is building a decentralized network for AI models—where developers train, evaluate, and earn collaboratively.
Learn how @opentensor uses $TAO and subnets to create a decentralized AI network that rewards valuable participation.
Read more ⬇️ https://t.co/LGLe04uvlB
Just 6% of $TAO is staked on subnets right now.
66% is staked in root.
-- and 28% is just hanging out in wallets (much of that liquidity on centralized exchanges like Kraken, Binance, etc.)
Without any new money coming in to Bittensor at all, if 100% of root moved into subnets -- that would be an 11x jump.
At SOME point soon (2-3 months), most of root will HAVE to move to preserve emissions.
Hadn't noticed this on https://t.co/emTsL4pTce until today - h/t @number12coffee
Bittensor TAO - Alpha Investment Mental Framework
📊🧠💡
A mental framework for evaluating and interpreting alpha prices within #bittensor $TAO
0:00 Alpha Investment
0:28 Sum_prices
1:14 Pareto Distribution
1:29 Average Price
1:39 Median Price
2:12 Alpha Risks and Rewards
3:16 Diversified Alpha
4:34 Blue Chips
5:11 Short term Low Price
5:40 Staking to root
6:01 Trading the news
6:40 Stay fluid
Bittensor $TAO AI subnets going absolutely crazy right now.
Bull market in the first few days of dTAO launch. This was a big success.
And most of the $TAO has yet to be deployed.
Today, as dTAO crossed into day 3 we will try a new approach.
We just rebalanced evenly amongst 6 subnets of interest.
As the slippage of the liquidity pools are acceptably stable now, we decided to include these SN’s to their results.
We will leave them untouched for a week.
Ultimate dTAO Trading Guide: How to Taostats for Bittensor & Dyanmic $TAO
@taostats
Welcome to the Future of Decentralized AI Trading!
The launch of dTAO changes the game, introducing subnet tokens (alpha tokens) that redefine emissions, staking, and market dynamics. If you're navigating @Taostats, the go-to analytics hub for Bittensor, this guide will break it all down for you.
Step 1: Understanding the Trading Interface
📊 The Dashboard
• Displays all subnets ranked by emissions, price action, and market cap
• Each subnet has its own token, traded against $TAO
• The root subnet (τ) is the foundation, where most staking occurs has a high APY 60% Currently
🛒 Buy/Sell Panel
• Choose $TAO or Alpha tokens
• Enter the amount you want to trade
• Adjust slippage tolerance (0% = minimal risk, but trades may not execute)
Hit Buy or Sell to confirm
Example on Subnet 4:
https://t.co/DkSFxZKUlW
📈 Live Market Data
• Price chart: Tracks historical trends, volume, and volatility
• Recent transactions: Watch how others are trading
• Market cap, FDV, and circulating supply provide deeper insights
Example Subnet 51:
https://t.co/Jk9bzarBfe
Step 2: Staking & Delegation
🔗 Connecting Your Wallet
• Click “Connect Wallet” (supports Polkadot.js and others)
• Approve the connection and enter your password
• Can also connect Wallet extension on trading page just above (Buy & Sell)
Portfolio and Delegation:
https://t.co/NMXiZqO0VM
💰 Delegating to Root (Low-risk strategy)
• Staking to root earns steady APY from all subnets
• Acts like an index fund for decentralized AI
🌀 Staking to a Subnet (Higher risk, higher reward)
• Exchange $TAO for Alpha tokens
• Stake them to earn subnet-specific rewards
• Monitor emissions & price action before committing
Step 3: Key Metrics to Watch
📌 Slippage
• Low liquidity = Higher price impact on large trades
• Set slippage carefully to avoid getting front-run
📌 Emission Rate (%)
• Dictates how many new tokens a subnet is producing
• Higher emission = Faster rewards, but higher inflation
📌 Volume/Market Cap Ratio
• High ratio = Active trading, good liquidity
• Low ratio = Illiquid market, price swings
📌 TAO/Alpha Pool Balance
• If $TAO in pool is high, alpha may be undervalued
• If Alpha in pool is high, $TAO demand may increase price
Step 4: Making Smart Trades
🚀 DO NOT APE IN!
• Alpha starts at zero, early buyers get wrecked on slippage
• DCA (dollar cost average) over weeks/months for best results
🔍 Monitor the Players
• Are miners & subnet owners selling early? (Bad sign)
• Are big holders accumulating? (Bullish signal)
🔥 Watch for Pump & Dump Subnets
• Memecoin subnets (DOGEnet, SHIBnet, etc.) will explode & crash
• Stick with real AI projects building long-term value
Step 5: The Long-Term dTAO Play
🔥 Subnet Competition Will Drive Innovation
• Expect new staking incentives, revenue-sharing, and governance
• Some subnets will lock liquidity to reduce sell pressure
💎 TAO Becomes Scarcer Over Time
• Subnet expansion = constant TAO demand
• Token burns = supply reduction = long-term price appreciation
💡 Decentralized AI is the Future
• Bitcoin and Ethereum can’t capture AI’s exponential growth
• Bittensor can, and dTAO is fueling the next wave of decentralized intelligence
Welcome to the future of decentralized AI. 🚀
If Bittensor markets were fully developed AI startups, their combined market valuation could range between $100B - $200B+, competing with centralized Companies like OpenAI, Anthropic, and CoreWeave. That's what Dyanmic $TAO is about to do. Based on 64 Subnets, what happens when we scale to thousands? With 21 million design and halvenings!
Here is how:
I'll group these subnets into key AI industry sectors that align with their functionality.
▫️AI Model Development (Foundation Model Providers)
•Comparable Companies: OpenAI, Anthropic, Mistral, Hugging Face
•Subnets: SN 9, SN 29, SN 39, SN 11, SN 21, SN 37, SN 38, SN 3, SN 5, SN 35, SN 56, SN 58
•Market Valuation Estimate: $50B+ (OpenAI alone is estimated at $90B)
•Subnet Value Range: $100M - $3B each, depending on specialization
▫️Generative AI (Text, Image, and Audio)
•Comparable Companies: Midjourney, Stability AI, OpenAI (DALL-E, Whisper)
•Subnets: SN 4 (Targon), SN 19, SN 2, SN 54, SN 17, SN 18, SN 23, SN 26, SN 50, SN 46
•Market Valuation Estimate: $30B+
•Subnet Value Range: $100M - $2B
▫️Agentic AI (Autonomous Agents & AI Assistants)
•Comparable Companies: Adept AI, OpenAI (GPT Agents), AutoGPT, Rabbit R1
•Subnets: SN 1 (Apex), SN 45, SN 62 (AgentTao), SN 59, SN 20, SN 10
•Market Valuation Estimate: $20B+
•Subnet Value Range: $500M - $2B
▫️Predictive AI & AI Trading
•Comparable Companies: Numerai, PredictIt, Jane Street (AI-powered HFT)
•Subnets: SN 6 (Infinite Games), SN 30 (BetTensor), SN 41 (Sportstensor), SN 28 (Foundry S&P 500 Oracle), SN 44 (Score Predict), SN 48 (NextPlace AI), SN 57 (Gaia)
•Market Valuation Estimate: $10B+
•Subnet Value Range: $200M - $1.5B
▫️AI Compute Providers
•Comparable Companies: CoreWeave, Lambda Labs, Together AI
•Subnets: SN 51 (Celium), SN 64 (Chutes), SN 12 (Horde), SN 27 (Neural Internet)
•Market Valuation Estimate: $15B+
•Subnet Value Range: $500M - $5B each
▫️AI Data Pipelines & Data Labeling
•Comparable Companies: Scale AI ($14B), Snorkel AI ($1B), Labelbox ($1.3B)
•Subnets: SN 24, SN 13, SN 33, SN 40, SN 42, SN 52
•Market Valuation Estimate: $10B+
•Subnet Value Range: $300M - $2B
▫️AI Components & Tooling (Model Optimization, Deployment, Fine-tuning)
•Comparable Companies: Hugging Face, MosaicML ($1.3B)
•Subnets: SN 47, SN 31, SN 15, SN 49
•Market Valuation Estimate: $8B+
•Subnet Value Range: $300M - $1.5B
▫️AI-Powered Tools (Specialized AI Applications)
•Comparable Companies: Quora (Poe), Perplexity AI, BloombergGPT, DeepL
•Subnets: SN 34, SN 61, SN 32, SN 53, SN 8, SN 14, SN 22, SN 54
•Market Valuation Estimate: $8B+
•Subnet Value Range: $200M - $1.5B
▫️Scientific Research (DeSci)
•Comparable Companies: Protocol Labs, Biotech-focused AI startups
•Subnets: SN 25, SN 43, SN 36
•Market Valuation Estimate: $5B+
•Subnet Value Range: $200M - $1B
▫️General Infrastructure (Decentralized AI Infrastructure)
•Comparable Companies: Bittensor itself, Akash Network
•Subnets: SN 16 (BitAds), SN 7 (SubVortex)
•Market Valuation Estimate: $5B+
•Subnet Value Range: $300M - $1B
Step 2: Summing the Estimated Market Value
Adding up the projected values from each category:
While this is a broad estimate, AI markets often have overlapping applications, so a reasonable adjusted valuation would be:
Low estimate: $100B (accounting for overlap and market competition)
High estimate: $200B+ (if the network captures significant adoption)
▫️Valuation Per Subnet
•Top-tier subnets (major LLMs, compute, predictive AI): $2B - $5B+
•Mid-tier subnets (agentic AI, data pipelines, AI tools): $500M - $2B
•Smaller specialized subnets (niche AI markets, early-stage growth): $100M - $500M
This analysis shows the incredible potential upside of $TAO, as these markets are still in early development stages. If adoption accelerates and these AI markets keep growing at their current pace, Bittensor could capture a massive share of decentralized AI's future market.