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AI crypto traders take profits pushing tokens down up to 20% after scorching 2024 rally

Following a significant rally in the AI crypto sector, AI crypto traders have started to take profits, leading to a drop in token prices of up to 20%. The sector reached a market cap of over $10 billion in mid-February, with Bittensor’s market cap hitting $4 billion and experiencing a 220% increase in value in 2024. By March, the sector had surpassed $25 billion in market cap.

Around March 9, several projects within the sector, including Bittensor, Fetch, OriginTrail, Worldcoin, and Arkham, reached new all-time highs, pushing the market cap close to $30 billion. However, in the past few days, the sector has cooled off, falling below $25 billion in market cap, indicating profit-taking by investors after a potential overheated surge in the market. While Bitcoin has also experienced a dip, it is currently only 6% below its all-time high. On the other hand, the top 10 AI crypto projects have seen price drops of over 20%.

Interestingly, many AI crypto coins have not been closely correlated with Bitcoin in recent times. Bittensor and Fetch, in particular, have followed their own trajectories, occasionally reacting to Bitcoin’s movements but often with a delay or moving in the opposite direction.

For instance, Fetch saw a 140% surge in just four days since March 6 but retraced around 20% afterwards. Overall, since the sector’s peak on March 9, Fetch is down 4%, ICP is down 11%, The Graph is down 12%, Singularity is down 13%, and Bittensor is down 12.8%.

While the AI sector experienced the rise of AI-related memecoins and hype projects in 2023, the current top projects in the sector primarily focus on the real-life implementation of decentralized AI tools. This approach has attracted attention from notable figures in the crypto industry, such as Ethereum’s Vitalik Buterin and Erik Voorhees.

Decentralized AI models hold significant importance, much like decentralized finance, as AI development continues to progress. Blockchain and tokenization appear to be natural partners for a distributed AI network. Therefore, the recent drop in prices may be attributed to profit-taking rather than a loss of faith in the sector’s potential. However, given the rapid gains, investors will likely look for progress in delivering actual technology.

Many of the leading projects in the sector have live mainnets and active development. The next crucial step is to observe whether a network effect can attract users to engage with this intersection of AI and blockchain technology. Bittensor, for instance, is experiencing increasing demand for adoption, as the cost to register one of its 32 subnets has surged from around $200,000 to over $5 million in a single month, with the price determined by market forces rather than a centralized entity.