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# KR1 Puts 5,000 TAO to Work Through Bittensor Root Staking
- URL: https://www.tao.media/kr1-puts-5-000-tao-to-work-through-bittensor-root-staking/
- Published: 2026-10-29T19:35:11.000Z
- Updated: 2026-10-29T19:35:12.000Z
- Description: The London-listed company is taking network-wide exposure to Bittensor rewards, with staking income to be disclosed in monthly updates.
- Author: Bart Hillerich
- Tags: KR1, TAO, News

[KR1 plc](https://x.com/KR1plc/status/2115702777343046031?ref=tao.media) has [launched Bittensor staking operations](https://www.investegate.co.uk/announcement/rns/kr1-plc--kr1/launch-of-bittensor-infrastructure-operations/9846919?ref=tao.media) after acquiring 5,000 TAO over recent months, putting the London-listed company's position to work earning network rewards. Its initial approach keeps the principal denominated in TAO rather than converting it into individual subnet tokens.

The company estimates annualized infrastructure income equivalent to approximately 6.6% of the current value of its deployed TAO, based on reward rates observed on October 28, 2026.

KR1, a Main Market-listed onchain infrastructure company trading under the ticker LSE: KR1, pairs exposure to TAO's price with rewards from productive deployment. Its operational decisions center on which validators to back, what rewards it can realize after costs, and whether to compound those earnings or use them elsewhere.

## How KR1's Root Staking Works

KR1 is starting with network-wide, or root, staking. In its [Bittensor holding update](https://kr1plc.substack.com/p/holding-update-bittensor-tao), the company explains that its principal remains in TAO while rewards accumulate separately through a validator-managed basket of subnet alpha tokens. Alpha is the token specific to each Bittensor subnet, a specialized market for AI or computing services.

When KR1 claims rewards, its relevant share of that basket is converted into additional TAO stake. The resulting TAO can remain staked or be withdrawn. This gives the company access to rewards across the network without requiring it to choose individual subnets for its initial capital deployment.

Direct subnet staking works differently. TAO is exchanged for a particular subnet's alpha token, and alpha is exchanged back into TAO on exit. That exposes the principal to the individual token's price and available trading liquidity, alongside the rewards it earns. Root staking retains TAO-denominated principal, although the value realized from alpha rewards still depends on fees and trading costs.

Validator selection therefore affects both the rewards KR1 accrues and the amount it can ultimately turn into TAO. KR1 can retain those earnings to increase its staked holdings or realize them to fund further investments and operating costs. Bittensor has no mandatory unbonding period, so KR1 can access its TAO immediately upon unstaking.

## The AI Markets Behind the Rewards

Bittensor coordinates markets for services including AI inference, computing capacity, training, and prediction. Each subnet defines the work suppliers perform and how their results are evaluated. Miners supply the services, while validators score their performance to determine how rewards are distributed.

![Bittensor High Level Architecture](https://storage.ghost.io/c/78/0b/780ba906-b1a7-4bf0-873c-bdd5c32e5331/content/images/2026/10/36042b62-4d83-45e9-91a1-32b3e128ae91_2400x2400.png)

Bittensor High Level Architecture | [KR1 plc](https://kr1plc.substack.com/p/holding-update-bittensor-tao)

Under the default evaluation mechanism, Yuma Consensus, validator assessments are combined using the stake backing each evaluator. Unusually generous scores are trimmed unless sufficient stake supports them, helping constrain how much an evaluator can favor a supplier on its own.

KR1 points to Chutes as a working example of the service model. Customers access open AI models on demand and pay for the processing they use, while independent operators provide the underlying computing capacity. Inference is the process of running a trained model to generate an answer or other output.

The network's incentives operate at several levels. Dynamic TAO, or dTAO, directs a larger share of newly issued TAO toward subnets with higher alpha-token prices measured in TAO, using an exponential moving average to smooth price movements. Within each subnet, the recent [eTAO upgrade lets owners adjust emission splits](https://www.tao.media/what-is-etao-etao-on-bittensor-how-subnets-now-choose-their-emission-split/) among owners, miners, and validators, subject to protocol limits. Allocating emissions between markets and dividing rewards within a market are separate decisions.

![Top Bittensor Subnets Market Cap Chart](https://storage.ghost.io/c/78/0b/780ba906-b1a7-4bf0-873c-bdd5c32e5331/content/images/2026/10/467f6def-896b-4381-9624-880adf674282_2352x1400.png)

Top Bittensor Subnets Market Cap Chart | [KR1 plc](https://kr1plc.substack.com/p/holding-update-bittensor-tao)

KR1 puts TAO's market capitalization at approximately $2.9 billion as of October 28\. The token has a maximum supply of 21 million, and its first halving in December 2025 reduced issuance to approximately 3,600 TAO a day. The company also cites SubConnect's unaudited October estimate of more than $50 million in annualized external customer revenue across subnet businesses.

## Customer Revenue and Staking Income Are Different Flows

KR1's investment case rests on commercial demand strengthening the value of TAO and the rewards earned through deployment. It also acknowledges that Bittensor rewards are currently funded largely by new token issuance. An increase in token holdings alone does not establish a durable return. Customer demand must create value that outweighs costs and dilution.

Customer payments can support token demand when operators direct part of their revenue into buybacks. In KR1's illustration, a customer pays $100 for an AI service, and the operator uses $10 to buy TAO and repurchase its subnet's alpha token. That transaction adds TAO to the subnet's trading pool. Repeated purchases can build the pool's TAO reserves, while sellers of alpha can withdraw TAO from it.

Operators decide whether to allocate revenue this way. Customer payments are not automatically distributed to TAO holders, so the external revenue estimate and KR1's projected staking income measure different economic flows.