Artificial intelligence (AI) is having a growing influence on cryptocurrency markets by shaping new trading, investing, and handling digital currencies styles. Bittensor is most likely the most mature AI-focused blockchain project, a machine-learning network that operates as an open network, paying the participants in its native token TAO.
However, emerging platforms such as IntelMarkets are bringing AI-driven trading tactics.
TAO’s Price Performance and Market Position
Bittensor’s TAO token reached an all-time high of $767.68 in April 2024, but since then its price has fluctuated. TAO is currently around $303, a 12% increase in the last 24 hours. TAO has remained steady at $400–$450 levels over the last few months before declining again.
While certain experts believe Bittensor also has long-term potential, others say newer projects with AI assistance can be more flexible and open to expansion. AI-Driven Trading and the Emergence of IntelMarkets
IntelMarkets is another AI crypto project that focuses on AI-based trading strategies. The platform employs machine learning to monitor real-time market data, enabling traders to make the correct decisions in volatile market conditions. This approach is designed to enhance trading efficiency by leveraging AI for automatic decision-making.
One of the differentiating features of IntelMarkets is that it collaborates with advanced AI computer solutions. It operates using Nvidia’s H200 technology, optimized for usage in high-performance applications. Trading bots on the system based on AI utilize the technology to discover patterns in markets, execute trades, and improve strategy.
IntelMarkets also has an initial coin offering (ICO) phase where its native cryptocurrency token is already trading at $0.09, having risen immensely from its original price. Further down the project, it is going to release other AI-driven trading mechanisms that adjust based on market conditions.
Comparing IntelMarkets and Bittensor
While Bittensor boasts a developed presence in the decentralized AI market, its niche specialization and relatively small market might restrict its future development. The project’s main target is currently decentralized machine learning and training of AI models, while newer initiatives like IntelMarkets are expanding into AI usage in trading and market analysis.
Bittensor remains at the forefront of AI-blockchain integration, but its specialized use case makes it difficult to penetrate mainstream adoption. IntelMarkets is an example of how AI-based trading is being positioned as a broader financial technology solution.
The Future of AI in Cryptocurrency
Since technology in AI improves, projects bringing AI into the blockchain network can only gain increased attention.
From Bittensor to IntelMarkets, several approaches to interweaving AI are demonstrated either decentralized networks of machine learning or trading through AI-powered networks. As this industry continues to grow, projects like these will shape future tendencies in the field of cryptocurrency.
