AI Crypto Tokens Surge in Social Engagement as LINK and TAO Dominate the Top 10 Rankings

New data published by Phoenix Group showed that AI crypto projects are growing in social activity at a rapid rate. The February 6, 2026, ranking is based on the assumption of the most socially active AI blockchain projects within a 24 hour period based on both the number of engaged posts and the total interactions of the projects across significant social mediums.

Social activity is also a major social sentiment indicator of the crypto market, which tends to correlate with increased interest, communities and greater publicity. The recent statistics put the set infrastructure crypto projects in comparison to new AI based networks, which heralds wide-scale trends throughout the industry.

Chainlink Tops the Chart With Strong Community Activity

Chainlink ($LINK) takes the lead by a wide margin with 8.5K posts and 2.3 million interactions in the past 24 hours. The statistics indicate that Chainlink remains a useful blockchain core infrastructure provider, especially in fields like decentralized oracles, cross chain communications and AI integrated data services.

The high performance of the project highlights the long term interest of developers and active dialog in the crypto community, which $LINK has become the most socially dominant project with the AI theme over the period under analysis.

Bittensor Holds Second Place as AI Narrative Expands

Bittensor ($TAO) is positioned at the second place and creates 6.0K engaged posts and 866.2K interactions. Bittensor, its popular machine learning network that is decentralized, remains in the spotlight with AI narratives going viral in Web3.

The great levels of engagement indicate the increasing interest in decentralized intelligence models and incentive based AI cooperation, which supports the idea that $TAO can become one of the key players in the AI crypto ecosystem.

Mid Tier Projects Show Consistent Social Momentum

A number of mid cap AI projects also recorded impressive engagement numbers. LimeWire (LMWR) also noted 1.7K active posts and 475.3K interactions, which proves that people still show interest in the decentralized platforms that combine AI tools. Oasis Network ($ROSE) was next with 1.6K engaged post and 227.6K interactions with the help of the emphasis on privacy saving AI and the tokenization of data.

Injective ($INJ) gained 1.5K engaged posts and 165.4K interactions, emphasizing its growing participation in AI driven decentralized finance applications and trading infrastructure with high performance.

Render, Verasity and ZigChain Maintain Visibility

The Render ($RENDER) registered 1.4K engaged posts and 111.6K engagements, with its cases of use being decentralized GPU rendering and AI compute. Verasity (VRA) was the next in 1.3K posts and 121.1K interactions, which was supported by the current conversation regarding video monetization and AI based verification of advertising.

ZigChain ($ZIG) also generated 1.3K engaged posts but registered higher levels of interaction at 174.3K, which suggests a good depth of engagement even when the number of posts made is similar.

$ARC and NFP Complete the AI Social Activity Rankings

$ARC had 1.3K engaged posts with 104.8K engagements, indicating consistent community engagement in its blockchain oriented endeavors that centered on AI. Finishing the list, NFP had 1.2K engaged posts and 45.9K interactions, which is the indication of its existence among the largest AI crypto projects that bring social momentum at the time.

Social Metrics Highlight Growing AI Sector Momentum

The statistics depict how AI related blockchain applications remain on the forefront of social discourse, with inventiveness, new applications and growing investor interest triggering a rise in the number of investments. The rankings showcase the variety of the AI crypto industry with core infrastructure and decentralized compute and content platform projects.

Social activity will likely continue to be one of the most important metrics of market mood and new trends in the wider Web3 ecosystem as AI stories evolve and adoption increases with them.