The Rise of AI in VC Funding: How Crypto Firms are Evolving

In 2025, 40% of venture capital invested in crypto companies went towards firms combining artificial intelligence and crypto, doubling the previous year's 18%. According to Binance Research, "AI is becoming an integral part of crypto's product and infrastructure stack," citing Silicon Valley Bank data. This integration is evident in the transition from AI 'co-pilots' that assist in analysis to 'agents' that can execute actions, reducing the gap between insight and execution. The surge in AI spending is part of a broader trend, with Crunchbase reporting $242 billion in AI funding in the first quarter of 2026, approximately 80% of global venture funding. Gartner estimates total AI spending will reach $2.52 trillion this year. The crypto sector is at the forefront of this AI push, with platforms deploying AI systems faster than traditional finance due to the always-on nature of digital asset 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 background AI tools. While adoption of AI solutions varies across exchanges and brokers, risk management, market signals, and fraud detection are common, and user-facing tools like copy trading and chatbots are present in 47% to 71% of them. Major platforms have introduced agentic products, moving AI closer to autonomous monitoring and execution, compressing the value chain between opportunity identification and action. As a result, the competitive landscape will shift from integrating AI features to owning users' decision-making processes.