In 2025, approximately 40% of venture capital invested in cryptocurrency companies went towards firms that integrated artificial intelligence and cryptocurrency, marking a significant increase from the previous year's 18%. Binance Research noted that "AI is becoming an integral part of crypto's product and infrastructure stack," citing data from Silicon Valley Bank, which highlights the rapid embedding of AI within crypto roadmaps. The shift from AI "co-pilots" to "agents" is also evident, where agents can monitor conditions and execute actions, reducing the gap between insight and execution. This trend is part of a broader surge in AI spending, with Crunchbase reporting that AI companies raised around $242 billion in the first quarter of 2026.
Crypto platforms are at the forefront of this push, having moved faster than traditional finance in deploying AI systems due to the support of always-on markets and programmable infrastructure. For instance, on Binance's AI Pro beta, nearly half of the activity was triggered by the system rather than users, demonstrating the growing use of AI tools that operate in the background without prompts.
While the adoption of AI solutions varies across exchanges and brokers, risk management, market signals, and fraud detection are becoming standard, with user-facing tools such as copy trading and portfolio advisors being implemented in 47% to 71% of them. Several major platforms have introduced agentic products, which compress the value chain between identifying an opportunity and acting on it, ultimately shifting the competitive landscape towards owning users' decision-making loops.