In 2025, approximately 40% of venture capital invested in crypto companies went towards firms that integrated artificial intelligence and crypto, 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.
This shift is evident in the transition from AI 'co-pilots' to 'agents', where agents can autonomously monitor conditions and execute actions, reducing the time gap between insight and execution. The surge in AI spending is part of a broader trend, with Crunchbase data showing AI companies raising $242 billion in the first quarter of 2026, roughly 80% of global venture funding. Gartner estimates that total AI spending will reach $2.52 trillion by the end of the year.
The crypto industry is at the forefront of this push, with platforms adapting to the trend faster 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 rather than users, demonstrating the growing use of AI tools that operate in the background without prompts. However, 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 only present in 47% to 71% of them. 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.