In 2025, 40% of venture capital invested in crypto companies went towards firms combining artificial intelligence and crypto, more than double the previous year. According to Binance Research, citing Silicon Valley Bank data, AI is becoming deeply embedded in crypto's product and infrastructure. This integration 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 trend is part of a broader surge in AI spending, with Crunchbase data showing AI companies raised $242 billion in the first quarter of 2026. Gartner estimates total AI spending will reach $2.52 trillion this year.
The crypto sector is leading this push, with platforms adapting strategies and shortening product cycles. While traditional finance faces market-hour constraints and intermediary systems, crypto's always-on markets and programmable infrastructure have enabled faster deployment of AI systems.
For instance, on Binance's AI Pro beta, nearly half of the activity was triggered by the system rather than users, indicating growing use of AI tools that run in the background. 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. Major platforms have introduced agentic products, moving AI closer to monitoring and execution within set guardrails, thereby compressing the value chain between identifying an opportunity and acting on it. As a result, the competitive landscape will shift from integrating AI features to owning users' decision-making loops.