TAO Tops the List of AI Crypto Projects by Social Activity, as Interest in the Sector Surges

The latest statistics from Phoenix Group and LunarCrush reveal the list of top AI crypto projects based on mentions and post engagement over social media platforms.

Phoenix Group and LunarCrush's latest data reveals a list of top AI crypto projects based on their mentions and post engagement on social media platforms. Here's a snapshot of the rankings within a single day:

TAO leads the pack with 5.9K engaged posts and a whopping 2.5 million interactions, making it the most talked-about AI crypto project. Other projects include $FET and $INJ with 5.3K engaged posts and 4.9k but varying in interactions where $FET recorded 1.2 million interactions, and $INJ recorded 1.0 million interactions. Next came $RENDER and $AIXBT with 4.0K and 3.3K engaged posts and 1.2M and 1.0 Interaction respectively.

Amongst Noteworthy AI Tokens: $VRA, $NEAR, and $ROSE

Continuing in the ranks are $VRA and $NEAR with 3.4K and 3.0K engaged posts in the community, respectively. The social interactions for these projects were 841.5K and 854.1K, respectively. The $ROSE token, which is powered by artificial intelligence, had 2.8K posts with 509.4K interactions which demonstrates continuing interest in its progress.

$QUBIC and $PAAL follow the list with 1.9k engaged posts, with total interaction rates above 500k and 415.5k, respectively. These numbers show that even relatively tiny AI ventures continue to be socially engaged, thus bolstering the expansion of AI blockchain systems.

High Social Engagement Signals Market Interest

The high traffic levels on AI-related cryptocurrencies indicate that more people are interested in the sector. The projects mentioned above are being posted on different social media platforms where they receive likes, comments, shares, and retweets. These metrics give a picture of how AI-integrated blockchain projects are being received in the crypto space.

As AI utilization continues to grow, these projects may become a major factor in the development of AI applications based on the blockchain. The rankings reveal that community engagement is still a key metric in monitoring the increasing popularity of AI-based cryptocurrencies.