In 2025, a significant 40% of venture capital invested in crypto companies was allocated to firms developing AI-crypto hybrid products, marking a substantial increase from the 18% recorded in the previous year. Binance Research noted that this shift signifies AI's integration into crypto's core product and infrastructure stack, citing data from Silicon Valley Bank. The transition from AI 'co-pilots' to 'agents' is also evident, with agents capable of autonomous decision-making and execution. This trend is part of a broader surge in AI adoption, with Crunchbase reporting $242 billion in AI funding in the first quarter of 2026.
Crypto platforms are at the forefront of this movement, leveraging always-on markets and programmable infrastructure to deploy AI systems more rapidly than traditional finance. A recent survey by Binance Research found that nearly half of the activity on its AI Pro beta was triggered by the system, demonstrating the growing reliance on AI tools.
While adoption rates vary across exchanges and brokers, risk management, market signals, and fraud detection are becoming standard, with user-facing tools such as copy trading and chatbots being implemented in a significant proportion of platforms.