Bittensor

What it does

Bittensor is an incentivised network for AI. The architecture is built around subnets, each one a specialised marketplace for a specific type of AI task. One subnet handles text generation. Another handles image generation. Others handle translation, code review, data scraping, embeddings, or any other AI workload someone decides to build a subnet for.

Each subnet has miners (who perform the work) and validators (who assess the quality). Miners compete to produce the best outputs. Validators score the miners and distribute TAO rewards accordingly. The system creates a Darwinian selection pressure where the best-performing miners earn the most and underperforming ones get pushed out.

There are currently 128+ active subnets. Anyone can create a new one by registering it on the network and attracting miners and validators. Leading subnets include Chutes (serverless inferenceInferenceRunning a trained AI model to produce an answer. Inference is what happens when you type a prompt into ChatGPT and get a response. The model takes your input, computes a best guess, and returns it.Like asking an expert for their opinion. The training was the decades they spent becoming an expert. The inference is the 30 seconds it takes them to answer your specific question.Read more →, processing billions of tokens daily), Gradients (model trainingTrainingThe one-time process of teaching a neural network to perform a task by showing it massive amounts of example data and adjusting its internal weights until the outputs are good. Training builds the model; inference uses it.Like the years an apprentice spends learning a trade. You don't see any of the actual work, just thousands of repeated mistakes gradually becoming competence. By the end, the apprentice can do the job. The training was invisible, but the skill is now permanent.Read more →, cheaper than Google Cloud on a subsidised basis), and Nineteen (inference speed records). All three are built by Rayon Labs.

Value proposition

Bittensor’s core argument: the market is better at producing intelligence than any single company. By creating an open, incentivised system where anyone can contribute AI capabilities and earn for it, you get a network that is more diverse, more resilient and more innovative than a centralised alternative.

Miners get the most direct deal: run AI models, produce good outputs, earn TAO. The better your outputs relative to competitors, the more you earn. Straightforward competition.

Validators curate rather than produce. Assess quality, allocate rewards, shape which miners succeed. TAO emissions reward accurate scoring.

TokenTokenA digital unit of value or access rights tracked on a blockchain. Tokens can represent ownership in a project, a right to use a service, a share of future revenue, or simply a tradable asset with no underlying claim.Like a physical poker chip a casino issues. The chip itself has no value. What makes it worth something is what it lets you do at the casino, what the casino has promised, and how much other people will pay you for it.Read more → holders get ownership of the network’s productive capacity. As demand for AI workloads grows and flows through Bittensor subnets, the network becomes more valuable. At least in theory.

Developers get infrastructure. Build a subnet for any AI task, attract miners and validators, and create a decentralised marketplace without building the underlying incentive and consensus layer yourself. That last part is genuinely useful.

Tokenomics

TAO has a fixed supply cap of 21 million, mirroring Bitcoin’s design. The first halvingHalvingA protocol event that cuts the rate of new token emissions by half. Halvings are scheduled in advance, happen automatically at fixed intervals, and are a core mechanism for enforcing declining token supply growth over time.Like a savings account where the interest rate is contractually cut in half every four years. You still earn interest, but the rate drops on a known schedule, and the issuer can't change it without breaking the contract.Read more → completed on 14 December 2025, cutting emissions from 1 TAO/block (~7,200/day) to 0.5 TAO/block (~3,600/day). Current inflationInflationThe annual rate at which new tokens are created and added to the circulating supply. Most networks use inflation to pay validators, stakers, and infrastructure providers from freshly minted tokens rather than real revenue.Like a landlord who raises the rent every year. If your salary goes up at the same rate, you break even. If it doesn't, you get poorer without noticing, because the number on your payslip hasn't changed but the ground under it has shifted.Read more → is approximately 12-13% annually. Circulating supplyCirculating SupplyThe number of tokens currently in circulation and tradeable on the open market. Differs from total supply (which includes locked or unvested tokens) and max supply (the upper limit, if there is one).Like the number of cars on the road today versus the number ever produced. Some are in showrooms, some in junkyards, some still at the factory. Only the ones on the road count toward what people are actually driving.Read more → is approximately 9.6M TAO (~46% of max).

Dynamic TAO (dTAO), launched February 2025, replaced the Root Network validatorValidatorA computer that runs the full blockchain protocol, verifies transactions, and proposes new blocks. Validators are the workers that keep a Proof of Stake network running, and they earn rewards for doing the work correctly.Like a notary public who witnesses and stamps legal documents. Validators witness transactions, check they follow the rules, and stamp them into the permanent record. A notary who commits fraud loses their license. Validators work the same way, except the license is staked tokens that get slashed on misbehaviour.Read more → oligarchy with market-driven emission allocation. Each subnet now has its own alpha token traded against TAO in an on-chain AMMAMMAutomated Market Maker. A type of decentralised exchange that uses liquidity pools and a pricing formula to enable token trading without an order book. Anyone can deposit tokens into the pool and earn fees from trades.Like a vending machine that sets its own prices based on how much stock is left. As one type of token gets bought and depleted, the machine raises its price for that token automatically. As the other type accumulates, its price drops. No human operator needed.Read more →. Stakers vote with their TAO by depositing into subnets they believe produce value. The original dTAO allocated emissions based on subnet alpha token prices, but in November 2025 this was replaced by the Tao Flow modelModelA trained neural network that takes inputs (text, images, audio) and produces outputs (more text, classifications, generated content). In DeAI the model is the thing that actually does the work.Like a very experienced apprentice who has spent years watching thousands of masters make furniture. They can't explain how they know when a joint is right, but they can make a chair that looks and functions like a Chippendale. The training is invisible. The output is what matters.Read more →, which allocates emissions based on net TAO inflows (stakingStakingLocking up a cryptocurrency to help secure a blockchain network, usually in exchange for rewards. The locked tokens act as a security deposit that can be taken away if the staker misbehaves.Like putting down a large rental deposit for an apartment. You get the money back if you behave, you earn interest while it's locked, and the landlord takes it if you trash the place.Read more → minus unstaking) rather than token prices. This eliminated structural advantages favouring larger subnets and closed gaming strategies where projects could inflate prices to harvest emissions. Allocation follows an 86.8-day EMA of net staking flows, with subnets experiencing net outflows receiving zero emissions.

The emission split is fixed at 41/41/18 between miners, validators and subnet owners.

• Miners earn TAO for producing high-quality outputs within their subnet
• Validators earn TAO for accurately assessing miner quality via Yuma Consensus
• Subnet owners earn 18% of their subnet’s emissions for defining the incentive mechanism

The critical economic dynamic is competition within subnets. Miners with better hardware, better models and better optimisation earn disproportionately more. Academic analysis published on arXiv in 2025 (paper ID not publicly confirmed; attribution via OTF community discussion) found that stake weight is the primary driver of rewards (0.50-0.80 correlation), not AI output quality (0.10-0.30 correlation). The protocol rewards capital concentration more than quality contributions.

Registration on popular subnets requires burning TAO. This creates a cost barrier that prevents spam but also means you need capital to participate as a miner or validator. TAO spent on registration is recycled back to the unissued emission pool; it isn’t a permanent burnBurnPermanently removing tokens from circulation by sending them to an address that no one controls. Burns reduce total supply, which (all else equal) makes each remaining token worth more of the network's value.Like a company buying back its own shares and shredding them. The company's total value stays the same, but each remaining share now represents a slightly bigger slice of that value.Read more →.

How to participate

Mine a subnet. Choose a subnet, set up the required hardware and software, register, and start producing outputs. Earnings depend on your performance relative to other miners. Popular subnets are competitive and require significant hardware. Newer subnets offer better entry points.

Validate. Run a validator on one or more subnets. Requires staking TAO and running validation infrastructure. Validators earn emissions for accurately scoring miners.

Stake TAO. Delegate to validators on specific subnets or the Root Network. Root staking returns ~14-20% APY nominal. Subnet staking converts TAO to alpha tokens with higher potential returns (80%+) but alpha price risk. Minimum 0.1 TAO. No hard lock-upVestingA schedule that locks up tokens allocated to insiders, investors, and team members, releasing them gradually over months or years. Vesting prevents insiders from dumping on public buyers immediately after launch.Like a new employee's stock options at a startup. You don't get all the shares on day one. They unlock over four years so you stick around and do the work rather than cashing out and leaving.Read more → but unstaking involves AMM conversion at market rate. For step-by-step instructions on buying TAO, choosing a subnet, using btcli or taostats.io, and managing the risks, see our Bittensor subnet staking guide.

Build a subnet. Create a new subnet for an AI workload that doesn’t exist on the network yet. This is the most ambitious path and requires both technical capability and the ability to attract miners and validators.

Bittensor halving: what TAO holders should know

Bittensor’s first halving completed on 14 December 2025, cutting block rewardsEmissionsNew tokens created and distributed by a blockchain protocol over time as rewards to validators, stakers, or miners. Emissions fund network security and participation at the cost of diluting existing holders.Like a company that pays employees partly in newly printed shares. Every year the total number of shares goes up, which means existing shareholders own a slightly smaller slice of the same company unless the company grows faster than the printing.Read more → from 1 TAO per block (roughly 7,200 TAO per day) to 0.5 TAO per block (roughly 3,600 TAO per day). The design deliberately mirrors Bitcoin’s: a 21 million hard cap, no ICOICOInitial Coin Offering. A token sale where a project sells tokens directly to the public, usually before any product exists. ICOs dominated 2017-2018 funding and are now mostly replaced by airdrops, IDOs, or fair launches.Like a company selling shares to the public before going public, except with no SEC oversight, no audited financials, and often no product at all. The 2017 ICO boom showed why those guardrails exist in traditional finance.Read more →, no pre-mine, no VCVCVenture Capital. Private investors who fund projects at an early stage in exchange for equity or token allocations. VC rounds are typically pre-launch, at steep discounts to any future public price, with multi-year vesting.Like angel investors in a startup who buy shares before the company goes public. They take more risk because the company might fail, so they get a better price. Once the company IPOs they can sell, and the public market pays whatever price it thinks is fair.Read more → allocation, and predictable emission reductions every four years on a fixed block schedule with no human discretion over the timing. Post-halving annual inflation now runs approximately 12-13% against circulating supply, down from roughly 25-26% pre-halving, and will continue stepping down at each subsequent halving.

What actually changed for holders

Three mechanical effects, each verifiable on-chain:

• Staking yields approximately halved. Root Network staking APY moved from the high-twenties and up pre-halving to approximately 14-20% APY nominal post-halving. Subnet alpha staking yields moved in proportion depending on each subnet’s emission share.
• Registration economics tightened. Subnet registration burns are now paid against a smaller daily emission pool, which effectively doubles the cost of miningProof of WorkThe original blockchain consensus mechanism where miners compete to solve computationally expensive puzzles. The winner proposes the next block and earns the rewards. Proof of Work secures Bitcoin and most pre-2020 chains.Like a lottery that runs every 10 minutes where the tickets cost electricity. Whoever spends the most electricity buying lottery tickets has the best chance of winning that round's prize. Nobody can fake the result because the proof of their work is verifiable by everyone.Read more → participation relative to what miners will earn back over a given period.
• Validator margins thinned. The fixed Opentensor Foundation validator cut and operational costs consume a larger proportion of each validator’s reduced emissions, raising the effective stake threshold to run a profitable validator.

What the market did

TAO rallied into the halving and sold the news, consistent with the historical Bitcoin halving pattern. The interaction between the halving and the dTAO Flow model (which replaced price-based emission allocation in November 2025) changed subnet reward dynamics in ways the original halving design did not fully anticipate: flow-based emissions mean that post-halving, subnets with outflows receive zero rewards, amplifying the competition between subnets for a shrinking daily pool. For the three-month post-halving price retrospective, the sell-the-news analysis, and the full dTAO interaction breakdown, see our deep-dive: Bittensor halving: what TAO holders need to know.

What the halving does not change

The halving did not address the governance centralisation, Proof of Authority validation, or emission-subsidised subnet revenue concerns discussed elsewhere in this review. Supply tightening is necessary but not sufficient for a Freedom Score improvement. The credibility of the fair-launch narrative depends on operational decentralisation, not the emission curve alone. The Bitcoin-style tokenomics give TAO the cleanest scarcity narrative in decentralised AIDeAIDecentralised AI. An umbrella term for blockchain-based projects that build AI infrastructure (compute, data, inference, models, agents) without a single central provider controlling the system.Like the difference between streaming a movie from Netflix and sharing it via BitTorrent. Netflix is fast and polished but one company controls what you can watch and what you pay. BitTorrent is messier but no single operator can shut you out.Read more →. Whether that scarcity translates into durable value capture depends on whether Bittensor’s subnets ever generate real customer revenue at a scale meaningful against the emissions being distributed, which is still an open question.

April 2026 update: the Covenant exit

On 10 April 2026, Covenant AI publicly withdrew from Bittensor. They ran subnets 3 (Templar), 39 (Basilica), and 81 (Grail), and built Covenant-72B, the largest decentralised AI pre-training run on the network. Their public statement accused founder Jacob Steeves of maintaining unilateral control through suspension of emissions to their subnets, removal of moderation rights over community channels, “unilateral deprecation of our subnet infrastructure”, and “large, visible token sales timed to moments of operational conflict.”

TAO dropped approximately 15% on the news (Crypto Briefing, 10 April 2026). Steeves’ public response so far is a reference to upcoming “headless” subnet infrastructure that would let teams operate independently from concentrated authority. No detailed rebuttal of the specific allegations has been published at the time of writing.

This is the most serious public challenge to Bittensor’s permissionless governance thesis since the network launched. The exit announcement is hours old at the time of writing. We’re hearing one side of the dispute and there may be context that recasts this. But the bare facts already matter: the team that built Bittensor’s most-cited AI achievement just left, citing centralisation concerns, and the network’s price action confirms the market took the criticism seriously.

The governance dimension of our Freedom Score is now under active review pending Steeves’ response and any follow-up evidence. The current 9/20 score already reflected concerns about Triumvirate concentration, the SN28 intervention, and OTF’s PoA control. The Covenant allegations describe specific operational behaviours (emission suspension, channel moderation removal, infrastructure deprecation, timed token sales) that, if substantiated, would warrant a further reduction. We’re holding the score for the moment until the dispute resolves or independent verification emerges.

For our full deep-dive on the Templar exit, see Templar’s exit: what Covenant leaving Bittensor actually means.

Honest assessment

What works

Bittensor is the largest decentralised AI network by market cap, with 128+ subnets and 8,000+ reported GPUGPUGraphics Processing Unit. Originally designed to render video game graphics, GPUs turned out to be exceptionally good at the massively parallel math that AI models need. Modern AI training and inference runs almost entirely on GPUs.Like a factory with 10,000 workers doing the same simple task in parallel, versus a CPU which is more like 10 workers each doing different complex tasks. AI training involves doing simple math a million times per second on a million numbers, which is exactly what the GPU factory is designed for.Read more → nodes. The subnet architecture is genuinely innovative. dTAO was a meaningful improvement over the Root Network oligarchy, and the Tao Flow emissions upgrade (November 2025) closed gaming vectors in the original price-based model. MEV Shield (December 2025) introduced an encrypted mempool that prevents front-running and sandwich attacks. Transactions are encrypted until block inclusion, and it is enabled by default in the CLI and SDKSDKSoftware Development Kit. A collection of code libraries, documentation, and tools that lets developers integrate a service into their applications without writing everything from scratch. SDKs are how projects become easy to build with.Like a plug-and-play kit for building furniture. You don't have to mill your own wood, forge your own screws, or design the joinery from scratch. The kit gives you pre-cut parts and instructions so you can assemble the thing in an afternoon.Read more →. The Bitcoin-modelled tokenomics (21M cap, halving schedule, fair launchFair LaunchA token launch where everyone has the same access from day one. No private sale, no insider allocation, no VC discount. Tokens are distributed by mining, staking, or open public sale at a single price.Like a 100m sprint where everyone starts behind the same line at the same time. Some runners are faster, but nobody gets to start 10 metres ahead because they paid extra. The race is decided by the run, not by who bought the best position.Read more →) give it the cleanest scarcity narrative in the space. Institutional adoption is real: Grayscale launched a Bittensor Trust (GTAO) and has filed an S-1 for potential conversion to a spot ETF, DCG launched a dedicated subsidiary (Yuma), and it has listings on Binance, Coinbase and Kraken.

What doesn’t work yet

The barrier to entry for mining is high and getting higher. Competitive subnets require serious hardware investment with no guarantee of returns. Most subnets haven’t demonstrated output quality exceeding centralised alternatives. Academic analysis shows stake weight drives rewards more than AI output quality.

The concern

Bittensor’s decentralisation narrative significantly overstates its operational reality. The Opentensor Foundation validates all blocks (Proof of Authority), can halt the entire network (demonstrated July 2024), and controls governance proposals through a 3-person Triumvirate. No timeline for PoS transition has been published. A $28-30M insider hack by former OTF employees in mid-2024 exposed real security failures. No third-party security audit has been publicly disclosed for the core protocol. The top 1% of wallets control approximately 90% of stake (Gini coefficient ~0.98).

Fair launch credentials

Technically clean: no ICO, no pre-mine, no VC allocation. But 5.38M TAO were mined between January 2021 and October 2023 with few participants and no public accounting of where those tokens went. Polychain Capital and DCG accumulated significant positions, likely through early mining or OTC.

The competitive dynamic

Mining Bittensor is closer to competitive gaming than passive yield farming. You need to constantly optimise, upgrade hardware and adapt to changing subnet dynamics. If you’re looking for passive income, this isn’t it. If you enjoy the technical challenge and have the hardware, it can be rewarding.

My experience

I have explored Bittensor mining and found the barrier to entry on established subnets too high for my hardware. Newer subnets offer better opportunities but come with the risk of lower and more volatile emissions. I don’t currently hold TAO. The governance centralisation, stake concentration, and emission-subsidised revenue model are the sticking points for me. Pine Analytics’ bear case analysis (24 March 2026) crystallised the subsidy problem clearly: $52M in annual Chutes emissions against $1.3-2.4M in actual customer revenue is not a business model, it’s a transfer payment from TAO holders to inference users.

Freedom Score: 56/100

Bittensor scores 56/100 (C grade). Full methodology at Freedom Score Methodology.

Infrastructure decentralisation (12/20): 128 subnets, 8,000+ reported GPU nodes, permissionless mining. But OTF validates all blocks (PoA) and can halt the network. No PoS timeline published.

Governance decentralisation (9/20): Triumvirate (3 OTF employees) plus Senate (top validators). dTAO improved emission allocation. But OTF controls proposals, intervened in SN28, and top 1% hold ~90% of stake. Score under active review following Covenant AI’s 10 April 2026 exit announcement, which alleges unilateral suspension of subnet emissions, removal of moderation rights, and timed token sales by OTF leadership. See the April 2026 update section above and our Templar exit deep-dive.

Token distribution (8/15): Fair launch technically (no ICO, no pre-mine). But 5.38M TAO mined 2021-2023 with limited participants. Gini ~0.98.

Censorship resistance (8/15): Permissionless subnets. No content policy. MEV Shield (December 2025) encrypts transactions until block inclusion, preventing front-running. But OTF controls block productionBlockA batch of transactions added to a blockchain at a set interval. Each block cryptographically links to the previous one, creating an append-only chain that can't be rewritten without redoing all the work since.Like a page in a ledger. Every page has a fixed number of entries, every page references the previous page, and once a page is filled and signed off it can't be edited without visibly invalidating every page that came after. The chain is just a very long series of these sealed pages.Read more →, halted the network in July 2024, and intervened in SN28.

Data sovereignty (10/15): Local miner execution, self-custodial wallets, no platform surveillance. MEV Shield adds transaction privacy in the mempool. But coldkey exposure on every operation, no ZKZKZero Knowledge. A class of cryptographic proofs that let you prove something is true without revealing any of the underlying information. ZK lets a network verify a transaction without seeing the transaction's contents.Like proving you know the password to a safe by demonstrating you can open it, without ever saying the password out loud. The verifier learns that you know the password and nothing more.Read more → on inference.

Open source transparency (9/15): MIT licence, 64 public repos, active development. But no security audit, no bug bounty, opaque early distribution, OTF finances undisclosed.

Path to improvement

Three changes would materially increase Bittensor’s score:

1. Transition from Proof of Authority to Proof of StakeProof of StakeA consensus mechanism where validators earn the right to create new blocks by staking tokens as collateral. If they misbehave, the network slashes their stake. Proof of Stake replaced energy-intensive mining on most modern chains.Like being a licensed auctioneer. You post a bond to get the license, you earn fees for every auction you run, and you lose the bond if you rig an auction. The bigger the bond, the more auctions you get to run.Read more →. OTF validating all blocks is the single largest centralisation vector. The network can’t credibly claim decentralisation while one foundation controls block production and has demonstrated willingness to halt the chain. Publishing a concrete PoS transition timeline with milestones would be the highest-impact action available.
2. Commission a third-party security audit. A network of this scale with a history of a $28-30 million insider hack has no disclosed security audit. This is indefensible. An audit of the core protocol, consensus mechanism and smart contracts by a credible firm would address the most obvious gap.
3. Reform governance beyond the Triumvirate. Three OTF employees controlling governance proposals for a network of this scale isn’t decentralised governance. Expanding proposal rights to the broader validator set or implementing a community proposal mechanism would distribute decision-making power meaningfully.

Returns Score: 63/100

TAO scores 63/100 (C grade). Full methodology at Returns Score Methodology.

Token utility (17/20): TAO is structurally essential to every layer of the network. Miners and validators must stake TAO to participate. Registering on popular subnets requires burning TAO, creating a direct cost barrier that ties network growth to token demand. dTAO alpha tokens create a market-based allocation mechanism where stakers vote with capital on which subnets deserve emissions. Governance participation requires stake. The token isn’t an optional add-on: without TAO, the entire incentive architecture collapses.

Value accrual (11/20): Staking TAO earns emissions from the subnets you back, and the Tao Flow model (replacing dTAO’s original price-based allocation) creates flow-driven pricing for subnet access. Root staking yields 14-20% nominal APY; subnet staking can exceed 80% but carries alpha token price risk. The core problem is structural: there is no direct fee distribution mechanism. No compute fees, no inference fees, no protocol revenue flows back to holders. Value accrual is entirely through emissions and subnet alpha token appreciation, which makes the entire accrual loop circular rather than externally funded. The same unverified arXiv analysis suggests stake weight (0.50-0.80 correlation) drives rewards more than output quality (0.10-0.30), pointing to capital concentration over productive contribution, though this specific finding needs independent verification before treating it as established.

A structural switching cost problem compounds this. Models are open source and APIs are standard. Any user on Chutes or Targon can migrate to Together.ai, Replicate, or any other provider with zero friction. There is no lock-in being built during the subsidy period, unlike Uber or AWS whose discount phases created genuine user habits and ecosystem dependencies. If and when emissions drop further, users move to wherever the price is lowest.

Supply dynamics (15/20): TAO’s Bitcoin-modelled tokenomics (21 million hard cap, halving completed in December 2025, fair launch with no ICO or pre-mine) give it the cleanest scarcity narrative in the DeAI space. Post-halving emissions of approximately 3,600 TAO per day represent roughly 12-13% annual inflation against circulating supply, which is moderate and declining. Registration burns recycle TAO back to the emission pool rather than destroying it permanently, so the burn isn’t deflationary in the traditional sense. The early mining concentration (Gini coefficient 0.98) is the significant drag here: a tiny group of initial participants accumulated a disproportionate share of supply, and that concentration persists despite the fair launch branding.

Revenue sustainability (6/25): This is the critical gap. Independent analytics firm Pine Analytics (published 24 March 2026) estimates $3-15M in identifiable external revenue across the entire Bittensor network. The lower bound ($3M) reflects verified on-chain and platform data for Chutes ($1.3-2.4M) and a handful of smaller subnets. The upper bound ($15M) incorporates Targon’s self-reported $10.4M projection, which Pine Analytics flags as unaudited. Chutes is the clearest case: at 14.4% of emissions, it receives approximately 518 TAO/day (~$142K/day or ~$52M annualised at current prices). Against $1.3-2.4M in estimated external revenue, that is a subsidy ratio of 22-40:1. Emissions are doing the heavy lifting, not customers.

The pricing math is stark. According to Pine Analytics, if Chutes had to cover its costs from customer revenue alone rather than emissions, it would need to charge approximately $1.41 per million tokens. Together.ai charges $0.88/M for Llama 70B. Unsubsidised Chutes would be 1.6-3.5x more expensive than centralised alternatives, not cheaper. The competitive cost advantage disappears entirely once you remove the TAO emission subsidy from the equation.

At Bittensor’s current $2.6B market cap, the implied revenue multiple against the $3-15M range is 175-200x. At the $5.8B FDVFDVFully Diluted Valuation. The market cap a token would have if every token that will ever exist were already in circulation. FDV is what the project would be worth if all locked, vesting, or unminted tokens were trading today.Like valuing a startup based on what every share would be worth if all the unvested employee options had already been exercised. The number is bigger and uglier than the official market cap, but it tells you the true ceiling.Read more →, it’s approximately 400x. Centralised AI infrastructure peers (CoreWeave, Lambda) trade at 15-25x revenue. Until subnets develop independent revenue streams that supplement or replace emissions, TAO’s economic model is a closed loop funded by inflation rather than by external demand for AI services. This score is flagged for review at the next quarterly cycle if revenue data matures.

LiquidityLiquidityHow easily a token can be bought or sold without moving the price. High liquidity means you can enter or exit large positions quickly at the quoted price. Low liquidity means even small trades can swing the market.Like the difference between selling a house and selling a share of Apple stock. The house might be worth more on paper, but finding a buyer at that price takes weeks. The Apple share converts to cash in one click.Read more → and access (14/15): TAO has the deepest liquidity in the DeAI space. Listed on Binance, Coinbase, Kraken and other major exchanges, with consistently high daily volume. A Grayscale Bittensor Trust (GTAO), with an S-1 filed for potential ETF conversion, and DCG’s dedicated Yuma subsidiary add institutional-grade access. You can enter or exit a substantial position without moving the market. For a sector plagued by thin liquidity, this is a genuine competitive advantage.

Path to improvement

Three changes would materially increase Bittensor’s returns score:

1. Develop subnet revenue mechanisms. The emission-subsidised revenue model is the biggest drag on TAO’s returns profile. Pine Analytics’ March 2026 analysis puts the network-wide external revenue at $3-15M against a $2.6B market cap, implying a 175-400x revenue multiple depending on how you treat unaudited projections. Centralised AI infrastructure peers trade at 15-25x. Enabling subnets to charge for inference, compute or data services at unsubsidised rates, with a protocol-level fee accruing to TAO stakers, would transform the economic model from emission-dependent to revenue-generating. The challenge: at unsubsidised pricing, Chutes would cost more than Together.ai, meaning the transition requires genuine efficiency improvements, not just fee-flipping.
2. Implement protocol-level fee distribution. Even a small take rate on subnet activity, distributed to TAO stakers, would create real yield backed by productive output rather than inflation. This would give TAO a value accrual mechanism comparable to Ethereum’s fee burn or Cosmos hub fees.
3. Reduce the stake-weight dominance in reward allocation. The arXiv analysis (unverified paper ID) claims stake weight drives rewards far more than AI output quality. Rebalancing the Yuma Consensus to reward productive contribution more heavily would improve the system’s economic efficiency and reduce the perception that Bittensor is a capital game dressed in AI clothing.

Score change log