In 2025, 40% of venture capital investments in crypto companies went towards firms that integrated artificial intelligence and crypto, marking a significant increase from 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. The shift from AI 'co-pilots' to 'agents' is also evident, with agents capable of monitoring conditions and executing actions, thereby reducing the gap between insight and execution. This trend is part of a broader surge in AI spending, with Crunchbase data showing that AI companies raised $242 billion in the first quarter of 2026.
The crypto industry is leading the charge in AI adoption, with platforms moving faster than traditional finance in deploying AI systems 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 rather than users, highlighting the growing use of AI tools that run in the background without prompts. 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. The competitive landscape is expected to shift from integrating AI features to owning users' decision-making loops, as several major platforms have shipped agentic products this year, bringing AI closer to monitoring and execution within set guardrails.