Bittensor's first halving cuts TAO issuance in half as AI network hits maturation milestone

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Bittensor undergoes its inaugural token halving on December 14, slashing daily TAO issuance from 7,200 to 3,600 tokens. The decentralized machine-learning network follows Bitcoin's fixed supply model with a 21 million token cap. Grayscale Research calls it a key maturation milestone as the ecosystem's 129 subnets reach a combined $3 billion market cap, signaling growing demand for decentralized AI infrastructure.

Bittensor Halving Marks First Major Supply Cut for AI Network

Bittensor is set to undergo its first halving on December 14, a pivotal event that will reduce TAO token issuance from 7,200 to 3,600 tokens per day

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. The decentralized machine-learning network, which launched in 2021, has adopted a fixed supply model mirroring Bitcoin's approach, with a hard cap of 21 million tokens

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. Grayscale Research analyst William Ogden Moore described the halving as "a key milestone in the network's maturation as it progresses toward its 21 million token supply cap"

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. Digital-asset investors view this hard-capped supply as a potential value catalyst, particularly if adoption grows and token demand rises, making the finite issuance model more appealing than pre-mined tokens or fiat currencies with unlimited supply

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How Bittensor's Subnets Drive AI Services Growth

The network operates through specialized subnets that create marketplaces for AI services by incentivizing participation across various AI domains

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. Grayscale characterizes Bittensor's subnets as a kind of "Y Combinator for decentralized AI networks," with each subnet functioning like a startup building targeted products or services

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Source: Cointelegraph

Source: Cointelegraph

The ecosystem has expanded dramatically, with Taostats tracking 129 subnets commanding a total market cap approaching $3 billion, while CoinGecko lists over 100 subnets with a combined market cap exceeding $850 million

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. These valuations represent substantial increases from the network's early days, reflecting broader interest in decentralized AI infrastructure

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Major Subnets Attract Venture Capital and Developer Interest

Among the prominent subnets driving ecosystem growth, Chutes provides serverless compute capabilities for AI models, enabling efficient execution without dedicated infrastructure management

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. Ridges focuses on crowdsourcing the development of AI agents, aggregating contributions from multiple participants to refine intelligent systems

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. Venture capital has increasingly targeted Bittensor subnets, with Inference Labs securing a $6.3 million funding round to bolster Subnet 2, which establishes a marketplace dedicated to verifying AI inference processes

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. Additionally, xTao, a developer of infrastructure tools and services for the Bittensor ecosystem, commenced trading on the TSX Venture Exchange in July

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Why This Matters for Blockchain and AI Convergence

Chris Miglino of DNA Fund, whose AI compute fund is heavily involved in the TAO ecosystem, told Cointelegraph that "the biggest thing that we're working on in the whole ecosystem is our AI compute fund, where we've been entrenched into the TAO ecosystem"

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. Miglino noted that decentralized AI may prove to be blockchain's most significant use case since Bitcoin, driven largely by surging demand for innovative AI tools

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. The proliferation of subnets highlights escalating demand for decentralized AI infrastructure as developers actively construct and expand AI products and applications, necessitating robust, distributed computing environments

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. With the halving reducing new supply while ecosystem growth accelerates, the event tests whether Bitcoin-style tokenomics can effectively support decentralized AI development at scale.

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