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Bittensor (TAO) surged this week following major ETF filings from institutional heavyweights.
for a spot TAO ETF on January 2, aiming to convert its Grayscale Trust into a NYSE Arca-listed fund. Bitwise simultaneously filed 11 strategy ETFs including a TAO-focused product using hybrid token exposure . These moves come just weeks after Bittensor's first halving event . Institutional interest appears to be accelerating despite regulatory questions around AI-driven crypto assets.Grayscale's proposed GTAO ETF would provide direct exposure to TAO tokens
. Bitwise's hybrid model allocates 60% to direct TAO holdings and 40% to European exchange-traded products . Both filings respond to growing institutional demand for AI-linked crypto assets. TAO serves as Bittensor's economic backbone for its decentralized machine learning marketplace.
The filings highlight TAO's $2.3 billion market cap
. Grayscale and Bitwise aim to capture early market share as institutional crypto access expands beyond and . Their strategy reflects confidence in TAO's role in decentralized artificial intelligence infrastructure .Bittensor executed its inaugural halving on December 14, 2025
. This reduced daily token emissions and . The halving mimics Bitcoin's scarcity model while aligning with Bittensor's subnet demand growth.The supply reduction comes as institutional products like Grayscale's Trust
. Network upgrades like dTAO have enhanced subnet liquidity for miners . This convergence creates potential supply-demand tension that . Historical patterns suggest scarcity events often precede extended bull cycles when supported by fundamental demand.The SEC's 2025 generic listing standards
to 75 days. However, analysts warn the altcoin ETF surge and potential closures. TAO faces additional scrutiny due to Bittensor's crypto-economic machine learning model.Grayscale seeks to transition its existing Bittensor Trust into an SEC-reporting company
. Approval timing remains uncertain as regulators evaluate how tokens like TAO fit existing frameworks. The filings test whether AI-focused crypto assets can clear regulatory hurdles under current guidelines.Blending traditional trading wisdom with cutting-edge cryptocurrency insights.

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