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 combining artificial intelligence and crypto, more than twice the amount from the previous year. According to Binance Research, "AI is increasingly becoming an integral part of crypto's product and infrastructure stack," citing data from Silicon Valley Bank, which highlights the rapid embedding of AI within crypto roadmaps. The shift from AI "co-pilots" to "agents" is also evident, where agents can monitor conditions and execute actions, reducing the gap between insight and execution. This trend is part of a broader surge in AI spending, with Crunchbase data showing AI companies raising $242 billion in the first quarter of 2026, or roughly 80% of global venture funding. Gartner estimates total AI spending will reach $2.52 trillion this year. The crypto industry is leading the AI push, with crypto platforms deploying AI systems faster than traditional finance due to the support of always-on markets and programmable infrastructure. For instance, on Binance's AI Pro beta, nearly half of the activity on a recent day was triggered by the system rather than users. The adoption of AI solutions varies across exchanges and brokers, with risk management, market signals, and fraud detection being standard, while user-facing tools such as copy trading, chatbots, and portfolio advisors are present in only 47% to 71% of them. Several major platforms have introduced agentic products this year, moving AI closer to monitoring and execution within set guardrails, which is expected to shift the competitive landscape from integrating AI features to owning users' decision-making loops.