New from Binance it shows that artificial intelligence (AI) is emerging as a major part of the global financial landscape, which also has implications for expansion cryptocurrency markets.
The exchange said that a large portion of the work on its platform is already being handled by AI-powered tools that operate without direct human input.
In this way, the first use data from Binance AI Pro, which was shared by Finbold on April 18, shows that 45.7% of the platform’s operations are now introducing systems instead of using them.
These interactions are done through automated processes such as scheduled tasks, automated analytics, and internal triggers, reflecting the growth of AI agents working in the background.
Inside finances markets, Binance’s report said that AI is changing from “co-pilot” support tools to systems created by an assistant that can monitor events and make decisions. This change has a big impact on sales, where speed and performance are important.
Also, the report said that crypto currency Towers are emerging as the first to adapt to this change due to structural advantages.
Specifically, unlike traditional economies, crypto markets operate 24/7, with on-chain data and infrastructure that enable AI to move quickly from detection to execution.
Interestingly, information from research firm Gartner projects that global AI investment will reach $2.52 trillion in 2026, up 44% year-on-year, while Crunchbase estimates AI was about $242 billion, or about 80% of global investment in the first quarter alone.
This economic boom is also changing the demand in all sectors, including crypto.
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The change is motivated by the increase in the relationship between AI and cryptocurrencies, considering that data from the Silicon Valley Bank shows that in 2025, 40% of crypto venture capital will go to companies focused on AI, from 18% the previous year, which shows a deep mix in the sector.
On the trading side, exchanges and DeFi platforms are introducing AI into trading processes, integrating analytics, opportunity detection, and execution into a single process.
At the same time, advances in on-chain information, payment rails, and decentralized protocols are making it possible for AIs to work seamlessly, manage information, send money, and automate transactions.
At the moment, the implementation of the child has not been the same, and traditional funds block AI for research and advice of responsibility due to legal and inheritance problems, while crypto platforms are moving quickly to integrate AI directly into the execution stages.
