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Top AI Coins to Watch in 2025

Hyomi Song
Hyomi Song
Hyomi Song
Author:
Hyomi Song
Hyomi is a freelance writer who is passionate about cryptocurrency and blockchain technology. She is dedicated to driving innovation and fostering widespread adoption within the industry as her writing captures how we interact with digital assets.
February 27th, 2025
Editor:
Joseph Alalade
Joseph Alalade
Editor:
Joseph Alalade
News Lead and Editor
Joseph is a content writer and editor who has actively participated in crypto for over 6 years. He enjoys educating others about Web3 and covering its updates, regulatory developments, and exciting stories.

The integration of artificial intelligence (AI) with blockchain technology continues to redefine the cryptocurrency sector. AI offers solutions that enhance efficiency, scalability, and user engagement. 

As developers explore novel applications of machine learning algorithms and decentralized systems, several projects have emerged as frontrunners in this rapidly evolving space. 

Some AI-driven cryptocurrencies have demonstrated unique value propositions and technical innovation. Today’s AI crypto market cap is about $29.5 billion, with a specialized focus on market positioning and growth trajectories. 

Artificial Superintelligence Alliance (FET)

ASI represents a consolidation of three established entities in the AI blockchain sector. The agents are Fetch.ai (FET), SingularityNET (AGIX), and Ocean Protocol (OCEAN).

This merger, finalized in Q2 2024, unifies their native tokens into a single FET token, which is currently valued at a market capitalization of over $1.5 billion. 

Fetch.ai contributes autonomous agent technology to optimize industrial processes, including supply chain logistics and energy, while SingularityNET’s decentralized marketplace hosts over 200 AI tools, ranging from predictive analytics frameworks to healthcare diagnostic models.

Ocean Protocol enhances this ecosystem through decentralized data-sharing mechanisms, enabling secure access to training datasets for AI developers.

Analysts project a price range of $4.34 to $12 for $FET by 2030.

NEAR Protocol (NEAR)

NEAR Protocol has transitioned from a general-purpose layer-1 blockchain to an AI-optimized platform through its integration with sharding technology. The network’s Nightshade sharding mechanism partitions the blockchain into four segments, achieving a throughput of 12,000 transactions per second in stress tests conducted in January 2025.

Its partnership with NVIDIA has enabled GPU resource sharing across NEAR’s validator network, reducing computational costs for machine learning tasks by an average of 37% compared to centralized cloud providers. 

The native token of the protocol, NEAR, experienced a 140% increase in price during the fourth quarter of 2024 before falling to its present price of $3.08. However, in February 2025, its activity metrics outperformed those of Solana and Cardano.

iDEGEN ($IDGN)

iDEGEN ($IDGN) has emerged as an unconventional contender in the AI cryptocurrency space. It blends meme coin virality with machine learning capabilities. 

Unlike traditional AI projects utilizing curated datasets, iDEGEN’s neural network trains exclusively on unfiltered social media content from crypto Twitter. This approach has resulted in over 2.6 million social impressions and 480,000 daily engagements.

The project concluded a $24.6 million presale on February 26, 2025. The presale distributed tokens to 27,000 holders through a dynamic pricing model that adjusted values by 5% every five minutes. 

Following its decentralized exchange debut on February 27, $IDGN will list on BitMart starting March 4. This milestone will allow it to access $1 billion in combined liquidity.

To learn more and to buy $IDGN, visit its official website.

READ MORE: Meme Coins With Utility: Why iDEGEN Is Gaining Traction

Contributors

Hyomi Song
Hyomi is a freelance writer who is passionate about cryptocurrency and blockchain technology. She is dedicated to driving innovation and fostering widespread adoption within the industry as her writing captures how we interact with digital assets.