In 2025, 40% of venture capital invested in crypto companies went towards firms combining artificial intelligence and crypto, a significant increase from the previous year. According to Binance Research, AI is becoming an integral part of crypto's product and infrastructure stack, rather than a parallel narrative.
This integration is evident in the shift from AI 'co-pilots' to 'agents', enabling autonomous decision-making and execution. The surge in AI adoption is driven by the need for reduced latency between insight and action, particularly in trading environments. Crypto platforms are at the forefront of this trend, leveraging always-on markets and programmable infrastructure to deploy AI systems more rapidly than traditional finance.
For instance, Binance's AI Pro beta saw nearly half of its activity triggered by the system, demonstrating the growing use of background AI tools. While adoption varies across exchanges and brokers, AI solutions are being applied in risk management, market signals, and fraud detection, with user-facing tools like copy trading and portfolio advisors being implemented in nearly half to over two-thirds of surveyed platforms. As AI integration advances, the competitive landscape will increasingly focus on owning users' decision-making loops, rather than just integrating AI features.