In 2025, 40% of venture capital invested in crypto companies went towards firms combining artificial intelligence and crypto, a significant increase from the 18% in the previous year. According to Binance Research, citing Silicon Valley Bank data, "AI is becoming an integral part of crypto's product and infrastructure stack, rather than a parallel narrative." This integration is evident in the transition from AI "co-pilots" that assist users in analyzing information to AI "agents" that can monitor conditions and execute actions, reducing the gap between insight and execution. The surge in AI spending is part of a broader trend, with Crunchbase data showing AI companies raised $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 this year.
The crypto sector is at the forefront of this AI push, with crypto platforms deploying AI systems faster than traditional finance due to the support of always-on markets and programmable infrastructure. 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.
While the adoption of AI solutions varies across exchanges and brokers, risk management, market signals, and fraud detection are standard, and user-facing tools such as copy trading and chatbots are present in a significant percentage of them. The competitive landscape is expected to shift from integrating AI features to owning users' decision-making loops, as major platforms introduce agentic products that bring AI closer to monitoring and execution.