AI token market takes a hit with $15 billion loss in a month

The AI token market has taken a major plunge, losing $15 billion in value since January 16th. FET and VIRTUAL are among the most affected tokens, experiencing a sharp decline compared to the previous month’s growth.

The AI token market has been on the rise since 2024, leading to the beginning of the new year. However, according to Cryptoslate data, in the past month, AI tokens have dropped over $15 billion from $37.62 billion, with a sector dominance of 1.07%.

As of February 17th, the AI market cap is 21.97 billion, and the sector dominance is 0.69%. Major AI tokens faced a steep value decline

AI coin sector data (Source: Cryptoslate)

Major AI tokens faced a steep value decline

Almost every leading AI token has faced a 2x loss of value since January 16th, 2025.

AI coin sector data (Source: Cryptoslate)

The data shows that Internet Computer (ICP) dropped by 33.8%, and Bittensor (TAO) lost 23.62%. Moreover, Fetch.AI (FET) plunged 41.59%, while The Graph (GRT) lost 35.23% in its value.

The project backed by OpenAI’s CEO Sam Altman, Worldcoin (WLD), has fallen by 44.92%, close to Theta (THETA), which has lost 40.63% value.

Worldcoin daily chart (Source: Cryptoslate)

The biggest loser has been Virtual Protocol (VIRTUAL), which has significantly lost more than half of its value by 62.99% in just the past 30 days.

It suggests that the AI coin category lost approximately 41.6% of its value.

According to data from Artemis Terminal , AI cryptocurrencies are performing the worst in the digital asset world.

Sector Assets data (Source: Artemis Terminal)

Real-world asset tokens, on the other hand, are getting more attention from investors due to their stability and predictability in returns.

Although AI tokens have experienced a harsh decline, this sector still has enough market significance, with a value of nearly $22 billion.

As the influence of generative AI is continuously spreading, many investors see the potential in AI-powered projects ranging from digital marketplaces to autonomous AI agents and machine learning development.

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