The synergy between artificial intelligence and blockchain technology

In 2024, there will be a separate AI segment in the crypto market. According to data from the CoinMarketCap monitoring service for March 2025, there are already more than 400 blockchain projects, and the total capitalization of this sector has exceeded $27 billion.

Why does blockchain need AI, and what problems will their synergy help solve?

AI integration has reached a new level with the emergence of next-generation neural networks such as ChatGPT, Claude, and DeepSeek. This applies to everyday life as well as business. For example, according to research by analysts, the number of companies using artificial intelligence in their day-to-day operations has tripled in the last 5 years.

Also, according to a Pew Research survey conducted in 2024, about 55% of U.S. residents regularly use AI to solve work tasks, which stimulates the integration of technology into blockchain projects.

For example, VeChain, one of the leading decentralized blockchain projects focused on the logistics industry, has begun using artificial intelligence to optimize supply chain processes and analyze supply chain data to reduce costs.

The first aspect critical to both AI and blockchain is the secure storage and management of data. On the one hand, transparency is important for neural networks, but so is the protection of data from various leaks and unauthorized interference, which is what blockchain provides.

At the same time, AI can help the blockchain to process large amounts of data efficiently. AI's ability to self-learn and optimize enables efficient automated solutions, such as AI models for portfolio investment management or energy allocation optimization.

The second aspect is autonomy and automation. AI automates many processes, from asset management to finding optimal business models.

In the future, AI combined with blockchain technology will enable the creation of fully autonomous information systems that can be implemented, for example, in smart cities, where AI will manage infrastructure and learn to improve efficiency, and blockchain will ensure the safety and reliability of the data needed for analysis.

Examples of blockchain use cases in AI

AI is already tightly integrated with many blockchain projects such as VeChain, Near Protocol, Internet Computer, Filecoin, Render, and others. Meanwhile, at least 11 AI crypto projects are among the top 100 protocols in the CoinMarketCap ranking, indicating high interest in this segment.

Medicine

AI capabilities in healthcare are improving the efficiency of information systems, such as in medical research and drug development.

The developers of BurstIQ have introduced a blockchain platform that enables the secure storage and sharing of patient data among healthcare professionals. The platform also supports flexible access control to secure data.

Finance

The Fetch.ai team presented a decentralized platform for launching autonomous AI agents capable of solving various financial tasks, from trading to market forecasting. AI agents can interact with each other, while users can release their own agents and earn income from them. In a way, Fetch.ai can be characterized as an "App Store for the cryptocurrency market."

Social networks

Social networks such as Telegram, TikTok, and YouTube have become an integral part of life and have a direct impact on users' well-being. These sources of information help users find solutions to their daily tasks. According to a DataReportal report, daily users spend an average of more than two hours on social networks.

However, it is essential to know how content is distributed in social networks and how well it meets users' needs. For example, the decentralized platform Kaito uses AI to distribute content based on market needs. Simply put, it's not companies but the market that dictates what content users will consume.

Kaito automates data such as social media sentiment and market metrics from Web3 projects to make users' interactions with the info field as efficient as possible.

Solutions like Kaito have spawned a new distinct field called "information finance" or InfoFi. Info Finance combines two areas at once: social media and finance.

Energy

While there is a surplus of electricity generated in some regions, there is a shortage in others. This applies not only to industrial companies but also to private users: in some regions, such as the USA and the EU zone, electricity is expensive. Therefore, optimizing energy consumption for residents of such countries is essential.

For example, the blockchain platform Grid has introduced a solution that enables AI-driven energy management and optimizes electricity costs. The Grid+ platform can integrate with smart homes to automate the process.