AI dominates markets and social media: Why are digital AI currencies absent from the bull run?


Artificial intelligence (AI) mentions on social media reached record levels in February 2026, with attention focused on various applications and interests.

However, this momentum has not extended to the cryptocurrency space. This difference highlights a clear divide: while global interest in AI continues to grow, decentralized AI projects and blockchain-based AI tokens suffer from poor performance and limited visibility.

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Artificial intelligence is taking the lead online and in global investment markets

Social intelligence platform LunarCrush reported that daily mentions of the word “artificial intelligence” on social media set all-time records, with distinct conversation topics. The analytics platform said discussions about new AI models, capabilities and industry integration accounted for 40% of the overall mind share.

Creative use cases also made up a large part of the discussion. Artificial intelligence has taken over Industries Creative materials such as art, music, writing and content creation make up 30% of the mental part.

At the same time, 20% of AI-related discussions are centered on ethics and security. These conversations focused on responsible development and implementation.

However, fears seem to outweigh optimism in many respects. She dominated Job displacement concerns On feelings, which make up 60% of the mental part. AI abuse led 30% of the discussion, while regulations accounted for 10%.

AI Mentions on Social Media
Mention of AI on social media. Source: X/LunarCrush

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Interest in artificial intelligence goes far beyond online conversations. Investment activity reflects the same momentum. According to Crunchbase data, AI will attract almost half of all global funding in 2025, up from 34% in 2024.

The total funds flowing into the sector are more than 75% year on year, from $114 billion invested in 2024.

“Enterprise modeling companies have raised $80 billion in 2025 so far, representing 40% of global AI funding, according to Crunchbase data. Funding for modeling companies this year has more than doubled from $31 billion in 2024, when such investments amounted to about 27% of total AI funding,” he said. Report .

At the same time, large-scale spending on AI infrastructure is accelerating. shortly, revealed Adani Group has announced plans to invest $100 billion to develop hyperscale data centers powered by renewable energy and ready for artificial intelligence by 2035.

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The AI ​​boom is leaving crypto tokens behind

With the development of momentum in the field of artificial intelligence, It seems to be a sector It receives relatively little attention.

Interestingly, there is not much discussion about decentralized AI projects or cryptographic AI tokens. Blockchain intelligence is lagging behind as mainstream AI gets most of the hype.

Investment data suggests a similar imbalance. BeInCrypto said that during In Q1 2026, Web3 funding was primarily directed towards core infrastructure and institutional finance lines. The largest allocations went to stablecoin payment infrastructure, custodial and trading platforms, And code real world assetsand compliance tools.

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Decentralized AI projects were largely absent from the list of top-funded categories, highlighting the growing gap between the broader AI boom and blockchain-based AI development.

Reveal market figures About the constant challenge For artificial intelligence codes for digital currencies. Over the past month, every major AI-related subsector tracked by CoinGecko has seen a decrease in market capitalization.

The combined market capitalization of the main AI crypto categories fell by more than 16%. However, it is worth noting that this decline comes in light of a broader market decline, Resulted in a decline in asset prices .

Market leader in artificial intelligence (AI) sectors.
Market capitalization of artificial intelligence (AI) sectors. Source: Queen Gekko

This suggests that the growing global interest in AI is not translating into an equivalent demand for AI-focused cryptocurrency tokens. With capital and attention focused on sovereign AI infrastructure, robotics and enterprise implementation, the key question is whether blockchain-based AI projects can measurably capture this momentum, or whether traditional systems will continue to absorb most of the value created by the AI ​​revolution.





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