New data released by Phoenix Group showed that AI cryptography projects are rapidly growing in social activity. 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 project’s total interactions across important social media.
Top #AI projects by social activity$LINK $TAO $LMWR $rose $INJ $render $VRA $ZIG $ARC $NFP pic.twitter.com/GPwCX2wV0j
— Phoenix – Crypto News and Analysis (@pnxgrp) February 6, 2026
Social activity is also a key social sentiment indicator in the crypto market and tends to correlate with increased interest, community, and visibility. Recent statistics compare a range of infrastructure encryption projects to new AI-based networks, pointing to broader trends across the industry.
Chainlink tops the charts with strong community engagement
chain link ($LINK) leads by a wide margin with 8.5,000 posts and 2.3 million interactions in the past 24 hours. Statistics show that Chainlink remains a useful blockchain core infrastructure provider, especially in areas such as decentralized oracles, cross-chain communication, and AI-integrated data services.
The project’s high performance highlights the long-term interest of developers and the active dialogue in the cryptocurrency community. $LINK became the most socially dominant AI-themed project in the analyzed period.
Bittensor remains in second place as AI narratives expand
Petitioner ($TAO) is in second place, creating posts with 6.0K engagement and 866.2K interactions. Bittensor is a popular decentralized machine learning network that continues to gain traction as the AI story quickly spreads on Web3.
The high level of engagement indicates a growing interest in distributed intelligence models and incentive-based AI collaboration, which supports the idea that: $TAO It has the potential to become one of the major players in the AI crypto ecosystem.
Mid-tier projects show consistent social momentum
Many medium-sized AI projects also saw impressive engagement numbers. LimeWire (LMWR) also noted 1.7,000 active posts and 475,3,000 interactions. This proves that people are still interested in decentralized platforms combined with AI tools. Oasis Network ($rose) Next, we focused on privacy-preserving AI and data tokenization, with 1.6,000 engaged posts and 227,600 interactions.
Injection ($INJ) received 1.5,000 engaged posts and 165,400 interactions, highlighting growing participation in AI-driven decentralized financial applications and high-performance trading infrastructure.
Maintain visibility with Render, Verasity, and ZigChain
Rendering ($render) It has 1.4K engaged posts and 111.6K engagements, and its use cases are distributed GPU rendering and AI computing. Verasity (VRA) was next with 1.3,000 posts and 121.1,000 interactions. This was supported by the current buzz around video monetization and AI-based ad verification.
Jig chain ($ZIG) also generated posts with 1.3K engagement, but recorded a higher level of interactions at 174.3K. This suggests that the depth of engagement is sufficient even though the number of posts created is the same.
$ARC and NFP complete AI social activity rankings
$ARC has 1.3K engaged posts with 104.8K engagements, demonstrating consistent community engagement in AI-centric blockchain-oriented efforts. At the end of the list, NFP has 1.2,000 engaged posts and 45.9,000 interactions, which indicates NFP’s presence as one of the largest AI crypto projects creating momentum in society at the time.
Social metrics highlight growing momentum in the AI sector
This statistic shows how AI-related blockchain applications continue to be at the forefront of social discussion, with ingenuity, new applications, and increased investor interest driving an increase in the number of investments. This ranking shows the diversity of the AI crypto industry with core infrastructure, decentralized computing and content platform projects.
As the AI story evolves and AI adoption increases, social activity will continue to be one of the most important indicators of market mood and emerging trends in the broader Web3 ecosystem.
