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AI-based cryptocurrencies Bittensor (TAO) and Fetch.ai (FET) have been predicted by OpenAI's chatbot, ChatGPT, to be the top performers in the sector this year. TAO, with its surging market cap and strong growth potential, is a key contender. The asset has seen a 725% increase since May 2023, despite a significant retracement from its all-time high of over $720 in March this year. FET, the second-largest AI cryptocurrency with a market cap of around $5.7 billion, was also highlighted due to its advanced technology and broad applicability in industries like supply chain optimization and smart cities. Other AI cryptocurrencies such as Render (RNDR), SingularityNET (AGIX), and Ocean Protocol (OCEAN) were also mentioned as potential top performers. Interestingly, the current leader in AI cryptocurrency, Internet Computer (ICP), was not included in ChatGPT's ranking. The chatbot suggested that ICP could maintain its leadership if it effectively integrates AI functionalities and tools, making it more attractive to developers and companies. It also noted that investment levels and regulatory changes could significantly impact ICP's performance.

AI-based cryptocurrencies Bittensor (TAO) and Fetch.ai (FET) have been predicted by OpenAI's chatbot, ChatGPT, to be the top performers in the sector this year. TAO, with its surging market cap and strong growth potential, is a key contender. The asset has seen a 725% increase since May 2023, despite a significant retracement from its all-time high of over $720 in March this year.

FET, the second-largest AI cryptocurrency with a market cap of around $5.7 billion, was also highlighted due to its advanced technology and broad applicability in industries like supply chain optimization and smart cities. Other AI cryptocurrencies such as Render (RNDR), SingularityNET (AGIX), and Ocean Protocol (OCEAN) were also mentioned as potential top performers.

Interestingly, the current leader in AI cryptocurrency, Internet Computer (ICP), was not included in ChatGPT's ranking. The chatbot suggested that ICP could maintain its leadership if it effectively integrates AI functionalities and tools, making it more attractive to developers and companies. It also noted that investment levels and regulatory changes could significantly impact ICP's performance.

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