In 2025, approximately 40% of venture capital invested in crypto companies was allocated to firms that integrated artificial intelligence and crypto, marking a significant increase from the previous year's 18%. Binance Research notes that "AI is becoming an integral part of crypto's product and infrastructure stack, rather than a parallel narrative," citing data from Silicon Valley Bank. This shift is evident in the transition from AI 'co-pilots' to 'agents,' where agents can monitor conditions and execute actions, thereby reducing the gap between insight and execution.
The surge in AI spending is part of a broader trend, with Crunchbase data showing that AI companies raised $242 billion in the first quarter of 2026, roughly 80% of global venture funding. Crypto companies are at the forefront of this trend, with many platforms deploying AI systems more rapidly than traditional finance 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, demonstrating the growing use of AI tools that operate in the background without user prompts.
The adoption of AI solutions varies across exchanges and brokers, with risk management, market signals, and fraud detection being standard, while user-facing tools are present in only 47% to 71% of them. Several major platforms have introduced agentic products, bringing AI closer to monitoring and execution, which is expected to shift the competitive landscape from integrating AI features to owning users' decision-making loops.