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Cryptocurrency News Articles

AI-related crypto tokens have shown strong performance compared to the broader cryptocurrency market

May 02, 2025 at 08:53 am

Data from 2024 indicates that AI and big data tokens surged by 131% in market capitalization from June to November, reaching $42.1 billion

AI-related crypto tokens have shown strong performance compared to the broader cryptocurrency market

In recent years, AI-related crypto tokens have displayed remarkable performance compared to the broader cryptocurrency market, a trend that appears to be continuing in 2024. This performance is often attributed to the burgeoning interest in artificial intelligence and its integration with blockchain technology.

According to data from 2024, AI and big data tokens experienced a surge in market capitalization by 131% from June to November, reaching $42.1 billion. This surge was fueled by the Bitcoin bull run, which saw the flagship cryptocurrency reach $103,332 in December 2024, and investor confidence in AI’s potential for revolutionizing various industries.

Specific tokens, such as Render (RNDR) and Fetch.ai (FET), showcased outstanding returns during certain periods compared to major cryptocurrencies like Bitcoin and Ethereum. For instance, Render, a platform offering decentralized GPU computing, saw its token price surge by 600% over six months in 2024.

Meanwhile, Bittensor (TAO), a machine learning network focused on building decentralized autonomous intelligence, experienced a 164% rally over 30 days in 2024. These returns highlight the speculative nature of the AI token market, with large price swings and shifts in investor sentiment playing a role.

On social media platforms like X, the discussion around AI tokens touched upon their outperformance compared to Bitcoin, with one user highlighting a three-year return of 10,287% for AI tokens versus 133% for Bitcoin.

This post also mentioned that AI tokens continue to lead in market bounces since Q4 2024, showcasing the resilience and recovery capabilities of this asset class. However, skepticism toward certain AI tokens was evident, with one user criticizing TAO as a "memecoin" that people are buying "at the peak of the hype." This comment speaks to the speculative frenzy surrounding some tokens, which could pose risks to investors engaging in FOMO (Fear Of Missing Out) buying.

The interest in AI technologies, especially following the launch of ChatGPT, has boosted demand for blockchain projects integrating AI. These projects offer solutions in decentralized computing (Render), AI marketplaces (Fetch.ai), and machine learning networks (Bittensor), catering to specific needs within the broader Web3 ecosystem.

Moreover, real-world use cases such as predictive analytics for traders and automated trading strategies on DeFi protocols highlight the potential of these tokens beyond speculation.

The broader crypto market surge has also lifted altcoins, and the huge gains seen by tokens like TAO and RNDR—with TAO gaining 164% over 30 days in 2024 and RNDR +600% in six months—are attributed to FOMO and narratives around AI's transformative potential.

Finally, blockchain's decentralization aligns with AI's requirement for secure, distributed data processing, driving interest in projects like Fetch.ai and Bittensor, which are focused on scalability and privacy issues related to AI technology. This synergy is a long-term value driver, as highlighted in the X discussions.

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Other articles published on May 02, 2025