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Public Listing: The Grayscale Bittensor Trust began trading publicly on the OTCQX market under the ticker GTAO.
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First in US: GTAO is the first publicly quoted investment product in the U.S. designed to give investors exposure to the TAO token.
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Halving Event: The public listing occurs just days before the Bittensor network's first halving event on December 14, which will reduce the token's emission rate.
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AI Focus: Bittensor is a decentralized, AI-focused network described as the "Internet of AI," which incentivizes users with TAO for contributing computing power to various AI subnets.
Grayscale Trust Trades Publicly on OTCQX
Grayscale, one of the leading providers of digital asset investment products, has listed its Bittensor Trust on the public markets. The trust began trading under the ticker symbol GTAO on OTCQX, a secondary U.S. market. Having previously been available only to accredited investors on the private market since August 2024, the public quotation significantly broadens access for investors. Grayscale announced that GTAO is the "first publicly quoted investment product in the U.S. designed to provide exposure to TAO."
GTAO Becomes SEC Reporting
The public quotation milestone also means the Grayscale Bittensor Trust is now an SEC reporting entity. As a result, the Trust will file periodic reports and financial statements, including Forms 10-Q and 10-K, with the Securities and Exchange Commission (SEC), bringing an increased level of transparency and regulatory compliance. The shift aligns with Grayscale’s strategy of converting its trusts into more accessible and transparent investment vehicles.
Timing Coincides with the TAO Halving
The listing comes just days before a major supply-side event for the native token, TAO. The decentralized, AI-focused Bittensor network is set for its first halving on December 14. Similar to Bitcoin's economic model, the halving will cut the token emission rate in half, increasing the scarcity of TAO. Bittensor operates as a decentralized network that pays users in TAO for contributing computing power to various application-specific AI subnets, essentially functioning as an "Internet of AI" where collective intelligence is openly and fairly created and shared.
