The Rise of AI in VC Funding: How Crypto Companies are Adapting

In 2025, nearly 40% of venture capital invested in crypto companies went towards firms developing AI-powered products, more than double the amount from the previous year. According to Binance Research, citing data from Silicon Valley Bank, this demonstrates the swift integration of AI into crypto roadmaps. The shift from AI 'co-pilots' to 'agents' is also evident, where agents can autonomously execute actions, reducing the time gap between insight 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 leading the charge, with Binance Research noting that they have moved faster than traditional finance in deploying AI systems due to the support of always-on markets and programmable infrastructure. For instance, on Binance's AI Pro beta, nearly half of the activity was triggered by the system, indicating growing use of AI tools that operate in the background. However, the adoption of AI solutions varies across exchanges and brokers, with risk management and market signals being standard, while user-facing tools are present in only 47% to 71% of them. Several major platforms have released agentic products, bringing AI closer to monitoring and execution, and shifting the competitive landscape towards owning users' decision-making loops.