In 2025, a significant 40% of venture capital invested in crypto companies went towards firms that integrated artificial intelligence and crypto products, marking a substantial increase from the 18% allocated the previous year. 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', enabling the automation of actions and reducing the time gap between insight and execution.
The trend is part of a broader surge in AI adoption, with Crunchbase reporting that 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 by the end of the year.
The crypto industry 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. According to Binance Research, nearly half of the activity on Binance's AI Pro beta was triggered by the system, demonstrating the growing use of AI tools that operate in the background without user prompts. While the adoption of AI solutions varies across exchanges and brokers, risk management, market signals, and fraud detection are becoming standard, and user-facing tools such as copy trading and portfolio advisors are being implemented by 47% to 71% of surveyed platforms. The competitive landscape is shifting towards owning users' decision-making loops, with several major platforms launching agentic products that bring AI closer to monitoring and execution.