The AI crypto sector gained 54% in September 2026, outpacing most other crypto categories during the month, according to a Grayscale report, which states that NEAR (NEAR), Bittensor (TAO), Venice, and Worldcoin (WLD) have ranked among the top performers in the firm’s sector breakdown.
Key Points
Grayscale’s AI crypto sector index posted a 54% gain in September 2026.
NEAR Protocol, Bittensor, Venice, and Worldcoin led sector performance.
Grayscale’s research examined blockchain’s potential role in AI infrastructure and governance.
The gain outpaced broader crypto market performance over the same period.
Bittensor’s new Gamma token system and NEAR’s intent-layer development featured as catalysts.
According to the report, Grayscale’s research also examined blockchain’s potential role in managing AI data provenance and decentralized governance as the sector matures.
What Drove the September Gains
The 54% figure covers Grayscale’s internally tracked AI crypto category and reflects price appreciation across a basket of tokens with primary use cases in AI infrastructure, decentralized compute, or AI-driven applications.
NEAR was among the strongest individual performers. The protocol’s intents layer, designed to route cross-chain transactions through AI-assisted execution, saw fresh developer activity during the month.
Bittensor gained on the back of its Gamma token announcement, which introduced a subnet-to-subnet payment mechanism. That development allowed individual Bittensor subnets to transact with each other using subnet-specific credits rather than routing everything through TAO.
Venice, a privacy-focused AI inference network, also contributed to the sector’s overall lift. Worldcoin’s WLD token benefited from continued discussion around digital identity as a prerequisite for AI-agent authentication.
The broader crypto market posted gains in September, but the AI sector’s 54% return was well ahead of the market-cap-weighted average for all tokens tracked by major data providers.
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The Bittensor and NEAR Context
Two of the sector’s top contributors made substantive protocol announcements in September and early October that coincided with their price moves.
Bittensor’s Gamma system fundamentally changes how compute is priced within the network. Before Gamma, all subnet interactions required TAO as the settlement layer.
Gamma tokens are subnet-specific credits issued by individual subnets. A subnet running image generation can pay a subnet running data labeling in Gamma rather than TAO. This separates everyday micro-transactions from TAO’s core governance and staking functions.
NEAR’s intents architecture addresses a different problem. It allows users to specify an outcome rather than a transaction route. An AI agent executing the intent finds the optimal cross-chain path. The model attracted developer interest in September, partly because it offers a framework compatible with autonomous AI agent workflows.
Both developments fed into the Grayscale narrative around blockchain’s expanding role in AI delivery infrastructure.
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AI Crypto Gains Momentum
The AI crypto narrative first gained sustained momentum in late 2024, when GPU compute shortages pushed developers toward decentralized alternatives. By mid-2025, tokens linked to decentralized inference, training, and data markets had attracted significant speculative and developer capital.
The sector pulled back sharply in early 2026 alongside broader risk-off sentiment before recovering through the summer. Grayscale began formally tracking the AI crypto category as a distinct sector in 2025, citing the growing number of projects with meaningful on-chain activity rather than just thematic branding.
September’s 54% reading is the strongest single-month gain the category has posted since the tracker launched, according to the report.
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